cpp-systems: tor CLEAN.md updated to note existing patches tor-0001/0002/0003
Scanned bitcoin/dragonfly/tor/transmission/nmap/ceph/allegro5 for additional CWE-407 defects. All repos found CLEAN beyond previously recorded patches. Updated tor/CLEAN.md to correctly reference existing tor-0001 through tor-0003.
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# UNDF: UNDF-2026-000000234
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# UNDF: (pending)
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# artemis-0002: FileConfigurationParser.parseSecurityRoles — O(N×R) multiple ArrayList.contains in role loop
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## CWE-407 — Algorithmic Complexity: Unnecessary Quadratic Complexity (List membership inside loop)
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| Field | Value |
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|-------|-------|
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| ID | artemis-0002 |
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| Severity | MEDIUM |
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| Ecosystem | activemq-artemis |
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| Package | org.apache.activemq.artemis.core.deployers.impl |
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| File | `artemis-server/src/main/java/org/apache/activemq/artemis/core/deployers/impl/FileConfigurationParser.java` |
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| Lines | 1212–1275 |
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| Complexity | O(N×R) |
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| Hot path | broker startup / configuration reload |
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## Defect
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`FileConfigurationParser` parses broker security roles from XML configuration.
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It builds per-permission `ArrayList<String>` collections (send, consume,
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createDurableQueue, deleteDurableQueue, createNonDurableQueue, deleteNonDurableQueue,
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manageRoles, browseRoles, createAddressRoles, deleteAddressRoles, viewRoles,
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editRoles), then for each role in `allRoles` (N roles) it calls `.contains(role)`
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on up to 12 of these lists. Each call is O(R) where R is the maximum number of
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roles in any single permission list. Total cost: O(N × 12 × R) = O(N²) in the
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degenerate case where all roles have all permissions.
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Additionally, `allRoles` itself is populated using `!allRoles.contains(role.trim())`
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which is O(N) per insertion — another O(N²) scan.
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```java
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// FileConfigurationParser.java lines 1212-1275
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List<String> send = new ArrayList<>();
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List<String> consume = new ArrayList<>();
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// ... 10 more ArrayList<String> ...
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List<String> allRoles = new ArrayList<>();
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// ... XML parsing loop populates the lists ...
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if (!allRoles.contains(role.trim())) { // O(N) per role — O(N²) total
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allRoles.add(role.trim());
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}
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for (String role : allRoles) {
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securityRoles.add(new Role(role,
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send.contains(role), // O(R) × 12 per role
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consume.contains(role),
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createDurableQueue.contains(role),
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deleteDurableQueue.contains(role),
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createNonDurableQueue.contains(role),
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deleteNonDurableQueue.contains(role),
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manageRoles.contains(role),
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browseRoles.contains(role),
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createAddressRoles.contains(role),
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deleteAddressRoles.contains(role),
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viewRoles.contains(role),
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editRoles.contains(role)));
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}
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```
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## Fix
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Use `HashSet<String>` (or `LinkedHashSet<String>` to preserve order) for all the
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permission lists, and for `allRoles`:
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```java
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Set<String> send = new LinkedHashSet<>();
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Set<String> consume = new LinkedHashSet<>();
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Set<String> createDurableQueue = new LinkedHashSet<>();
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Set<String> deleteDurableQueue = new LinkedHashSet<>();
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Set<String> createNonDurableQueue = new LinkedHashSet<>();
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Set<String> deleteNonDurableQueue = new LinkedHashSet<>();
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Set<String> manageRoles = new LinkedHashSet<>();
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Set<String> browseRoles = new LinkedHashSet<>();
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Set<String> createAddressRoles = new LinkedHashSet<>();
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Set<String> deleteAddressRoles = new LinkedHashSet<>();
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Set<String> viewRoles = new LinkedHashSet<>();
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Set<String> editRoles = new LinkedHashSet<>();
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Set<String> allRoles = new LinkedHashSet<>();
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// allRoles population: add() already deduplicates in a Set — no contains() check needed
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allRoles.add(role.trim()); // replaces the !allRoles.contains() guard
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// Role construction loop unchanged — Set.contains() is O(1)
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for (String role : allRoles) {
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securityRoles.add(new Role(role,
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send.contains(role), consume.contains(role), ...));
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}
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```
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## Speedup
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| N (roles) | R (roles per permission) | Before (ops) | After (ops) | Speedup |
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|-----------|--------------------------|-------------|-------------|---------|
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| 50 | 50 | ~30,000 | ~600 | 50× |
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| 200 | 200 | ~480,000 | ~2,400 | 200× |
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| 1,000 | 1,000 | ~12,000,000 | ~12,000 | 1,000× |
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Most Artemis deployments have modest role counts (10–50) but enterprise LDAP-backed
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configurations with fine-grained per-address permissions can have hundreds of roles.
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The defect is hit on every broker startup and every live configuration reload.
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@ -1,4 +1,4 @@
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# UNDF: UNDF-2026-000000015
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# UNDF: UNDF-2026-000000235
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--- a/src/broad_phase.h
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+++ b/src/broad_phase.h
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@@ -30,8 +30,9 @@ typedef struct b2BroadPhase
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@ -1,3 +1,4 @@
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# UNDF: UNDF-2026-000000289
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# UNDF: (pending)
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# doris-0002: PlanNode.addConjunct — ArrayList.contains() O(C²) dedup
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@ -1,4 +1,4 @@
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# UNDF: UNDF-2026-000000054
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# UNDF: UNDF-2026-000000314
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--- a/Source/Dry/UI/ListView.h
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+++ b/Source/Dry/UI/ListView.h
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@@ -... ListView class members
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@ -1,4 +1,4 @@
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# UNDF: UNDF-2026-000000055
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# UNDF: UNDF-2026-000000316
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--- a/Source/Dry/Core/Object.cpp
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+++ b/Source/Dry/Core/Object.cpp
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@@ -269,12 +269,16 @@ void Object::UnsubscribeFromAllEventsExcept(const PODVector<StringHash>& exceptions, bool onlyUserData)
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@ -1,17 +1,16 @@
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# CLEAN — gRPC (multi-language)
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Scanned 2026-03-29 for CWE-407.
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# CLEAN — gRPC
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Scanned 2026-03-29 for CWE-407 (algorithmic complexity).
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## Scope
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- Java source: `examples/android/helloworld/` only (no Java RPC core in this clone)
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- C++ core: `core/lib/`, `src/core/` — service resolution, call handling
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The cloned `~/git/grpc` repository is the gRPC C/C++ core repo, not the Java
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implementation (`grpc-java`). No Java source files were found in `src/` beyond
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Android example activities.
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## Findings
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- No Java main-path source files present in this clone.
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- gRPC Java (`io.grpc:grpc-*`) ships as a separate Maven/Gradle repository
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(`grpc/grpc-java` on GitHub) which was not cloned.
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gRPC's Java implementation in this repository is limited to example code. The core RPC runtime is implemented in C++ and uses protobuf-generated descriptors with flat-array or hash-map lookups for service and method resolution. No quadratic list-membership pattern was found in:
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- Method descriptor building (protobuf ServiceDescriptor uses array indexing)
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- Service type resolution (registry uses hash map)
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- Call filter/interceptor chains (fixed-size arrays assembled at startup)
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**Result: No actionable CWE-407 defects.**
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## Result
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**CLEAN (N/A). No Java CWE-407 defects findable in this clone — wrong repo flavor.**
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**Action: clone `grpc/grpc-java` for a proper Java scan if needed.**
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27
defects/guice/patch/CLEAN.md
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27
defects/guice/patch/CLEAN.md
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# CLEAN — Google Guice
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Scanned 2026-03-29 for CWE-407 (algorithmic complexity).
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## Scope
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Module scanned: core/src (binding processor, injection point resolution, type listener store,
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provision listener store, cycle-detecting lock, annotations).
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## Findings
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### MembersInjectorStore — alreadySeenListeners.contains()
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`alreadySeenListeners` is declared `Set<TypeListener> alreadySeenListeners = Sets.newHashSet()`.
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O(1) membership checks. Clean.
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### BindingSourceRestriction — currentModulePermits.contains()
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`currentModulePermits` is `ImmutableSet<Class<? extends Annotation>>`. O(1). Clean.
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### AbstractBindingProcessor — FORBIDDEN_TYPES.contains()
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`FORBIDDEN_TYPES` is an `ImmutableSet`. O(1). Clean.
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### ProvisionListenerCallbackStore — INTERNAL_BINDINGS.contains()
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`INTERNAL_BINDINGS` is an `ImmutableSet<Key<?>>`. O(1). Clean.
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### InjectorJitBindingData — failedJitBindings.contains(), bannedKeys.contains()
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Both fields are `Set` implementations. Clean.
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## Result
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**CLEAN. No actionable CWE-407 defects found in Google Guice.**
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30
defects/hibernate/patch/CLEAN.md
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30
defects/hibernate/patch/CLEAN.md
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# CLEAN — Hibernate ORM
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Scanned 2026-03-29 for CWE-407 (algorithmic complexity).
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## Scope
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hibernate-core/src/main/java — SqmUtil, ActionQueue, BulkOperationCleanupAction,
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LoadQueryInfluencers, StatefulPersistenceContext, ToOneAttributeMapping,
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ManyToManyCollectionPart, BaseSqmToSqlAstConverter, GeneratedValuesProcessor.
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## Findings
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### ActionQueue — tableSpaces.contains()
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Parameter `Set<? extends Serializable> tableSpaces` — O(1). Clean.
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### BulkOperationCleanupAction — affectedTableSpaces.contains()
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Parameter is `Set<?>` — O(1). Clean.
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### LoadQueryInfluencers — enabledFetchProfileNames.contains()
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`enabledFetchProfileNames` is `HashSet<String>` — O(1). Clean.
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### ToOneAttributeMapping — targetKeyPropertyNames.contains()
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`targetKeyPropertyNames` is `Set<String>` backed by `HashSet` — O(1). Clean.
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### StatefulPersistenceContext — nullAssociations.contains(), insertedEntityIds.contains()
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Both backed by `HashSet` implementations — O(1). Clean.
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### BaseSqmToSqlAstConverter — visitedAssociationKeys.contains(), excludedEntityNames.contains()
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Both are `Set` or `HashSet` fields — O(1). Clean.
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## Result
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**CLEAN. No actionable CWE-407 defects found in Hibernate ORM.**
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# UNDF: UNDF-2026-000000134
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# UNDF: (pending)
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# kotlin-0001: NonExpansiveInheritanceRestrictionChecker.collectReachable — O(E×V) list scan on reachability result
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## CWE-407 — Algorithmic Complexity: Inefficient Algorithmic Complexity
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| Field | Value |
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|-------|-------|
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| ID | kotlin-0001 |
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| Severity | HIGH |
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| Ecosystem | kotlin |
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| Package | org.jetbrains.kotlin.resolve |
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| File | `compiler/frontend/src/org/jetbrains/kotlin/resolve/NonExpansiveInheritanceRestrictionChecker.kt` |
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| Lines | 150–169 |
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| Complexity | O(E × V) — was O(V) list scan per edge in cycle check |
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| Hot path | Type-checking of generic class declarations with complex supertype bounds |
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## Defect
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`collectReachable` builds the set of type-parameter nodes reachable from a given start node
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during the expansive-inheritance check (SLS §4.5 / KLS §11.2). The original implementation
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returns a `List<T>` via `DFS.NodeHandlerWithListResult`. The result is immediately consumed
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in `isEdgeInCycle`:
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```kotlin
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private fun <T> Graph<T>.isEdgeInCycle(edge: ExpansiveEdge<T>) =
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edge.from in collectReachable(edge.to)
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private fun <T> Graph<T>.collectReachable(from: T): List<T> { // BUG: List
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val handler = object : DFS.NodeHandlerWithListResult<T, T>() {
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override fun afterChildren(current: T?) {
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result.add(current)
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}
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}
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val neighbors = object : DFS.Neighbors<T> {
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override fun getNeighbors(current: T): Iterable<T> =
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this@collectReachable.getNeighbors(current)
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}
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DFS.dfs(listOf(from), neighbors, handler)
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return handler.result()
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}
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```
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`edge.from in collectReachable(edge.to)` uses Kotlin's `in` operator on a `List<T>`, which
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compiles to `List.contains()` — a linear O(V) scan. The check is performed once per
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expansive edge, so with E expansive edges and V type-parameter nodes the total cost is
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**O(E × V)**. For a deeply layered generic hierarchy (e.g. a sealed-trait diamond with
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many type parameters), E and V grow together, making this O(V²) in the worst case.
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## Fix
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Accumulate the reachable nodes into a `HashSet<T>` directly and return `Set<T>`, so the
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`in` membership test at the call site becomes O(1):
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```kotlin
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private fun <T> Graph<T>.isEdgeInCycle(edge: ExpansiveEdge<T>) =
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edge.from in collectReachable(edge.to) // unchanged — but now O(1)
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// Return Set<T> so `in` is O(1) hash lookup instead of O(V) list scan
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private fun <T> Graph<T>.collectReachable(from: T): Set<T> {
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val reachable = hashSetOf<T>()
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val handler = object : DFS.NodeHandlerWithListResult<T, T>() {
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override fun afterChildren(current: T?) {
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if (current != null) reachable.add(current)
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}
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}
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val neighbors = object : DFS.Neighbors<T> {
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override fun getNeighbors(current: T): Iterable<T> =
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this@collectReachable.getNeighbors(current)
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}
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DFS.dfs(listOf(from), neighbors, handler)
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return reachable
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}
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```
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`TypeParameterDescriptor` already implements `equals`/`hashCode` (identity by object),
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so storing it in a `HashSet` is correct and safe.
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## Speedup
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| V (type params) | E (expansive edges) | Before (ops) | After (ops) | Speedup |
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|-----------------|---------------------|-------------|-------------|---------|
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| 10 | 10 | 100 | 10 | 10× |
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| 50 | 50 | 2,500 | 50 | 50× |
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| 100 | 100 | 10,000 | 100 | 100× |
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| 200 | 200 | 40,000 | 200 | 200× |
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Real-world Kotlin classes rarely exceed V=20 type parameters, but annotation-heavy
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codebases (frameworks using typeclasses / phantom types) can push higher. The patch
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removes an entire complexity class regardless of input size.
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## Affected Versions
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All Kotlin compiler versions that include `NonExpansiveInheritanceRestrictionChecker`
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(introduced circa Kotlin 1.0; still present in Kotlin 2.x frontend compatibility layer).
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## References
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- JetBrains YouTrack (none filed)
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- Upstream source: `compiler/frontend/src/org/jetbrains/kotlin/resolve/NonExpansiveInheritanceRestrictionChecker.kt`
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- CWE-407: https://cwe.mitre.org/data/definitions/407.html
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# UNDF: UNDF-2026-000000135
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# UNDF: (pending)
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# kotlin-0002: ConstraintSystemBuilderImpl.addBound — O(B) ArrayList scan per constraint during type inference
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## CWE-407 — Algorithmic Complexity: Inefficient Algorithmic Complexity
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| Field | Value |
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|-------|-------|
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| ID | kotlin-0002 |
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| Severity | MEDIUM |
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| Ecosystem | kotlin |
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| Package | org.jetbrains.kotlin.resolve.calls.inference |
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| File | `compiler/frontend/src/org/jetbrains/kotlin/resolve/calls/inference/ConstraintSystemBuilderImpl.kt` |
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| Lines | 266–279 |
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| Complexity | O(B) duplicate-check per addBound call; O(B²) total per type variable during constraint incorporation |
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| Hot path | Type inference for every generic call site |
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## Defect
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`ConstraintSystemBuilderImpl.addBound()` deduplicates bounds before adding them to prevent
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the constraint incorporation loop from diverging. The dedup check uses `ArrayList.contains()`:
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```kotlin
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// TypeBoundsImpl.kt:31
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override val bounds = ArrayList<Bound>() // BUG: ArrayList
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// ConstraintSystemBuilderImpl.kt:277
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val typeBounds = getTypeBounds(typeVariable)
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if (typeBounds.bounds.contains(bound)) return // O(B) linear scan per call
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typeBounds.addBound(bound)
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```
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`TypeBounds.Bound` defines `equals()` and `hashCode()` (comparing `typeVariable`,
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`constrainingType`, `kind`, and `position.isStrong()`), making it fully eligible for
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storage in a hash-based collection.
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During constraint incorporation (`constraintIncorporation.kt`), `incorporateBound()` is
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called once per new bound and may call `addBound` O(B) times as it cross-multiplies with
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existing bounds. Each `addBound` performs an O(B) `contains` scan, yielding **O(B²)
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total** duplicate-check work per type variable per incorporation round. For functions with
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many type parameters and complex bounds (e.g. higher-kinded types, SAM conversions with
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many overloads), B can reach 30–50 during a single call resolution.
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## Fix
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Change `TypeBoundsImpl.bounds` from `ArrayList<Bound>` to `LinkedHashSet<Bound>` to
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provide O(1) `contains` and maintain insertion order for deterministic value computation:
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```kotlin
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// TypeBoundsImpl.kt — change bounds to LinkedHashSet
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class TypeBoundsImpl(override val typeVariable: TypeVariable) : TypeBounds {
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override val bounds: MutableSet<Bound> = LinkedHashSet() // was: ArrayList<Bound>()
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fun addBound(bound: Bound) {
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resultValues = null
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assert(bound.typeVariable == typeVariable) { ... }
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bounds.add(bound)
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}
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// ... rest unchanged
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}
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```
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The `TypeBounds` interface declares `bounds: Collection<Bound>`, so changing the concrete
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type to `LinkedHashSet` is a compatible implementation change. All iteration patterns
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(`bounds.indices`, `bounds.filter`, `bounds.any`, `bounds.flatMap`) work identically on
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`Set` as on `List`.
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The dedup guard in `ConstraintSystemBuilderImpl.addBound()` can then rely on
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`LinkedHashSet.add()` returning `false` on duplicate, or retain the explicit check — both
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become O(1).
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## Speedup
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| B (bounds per type var) | Before (contains ops) | After (contains ops) | Speedup |
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|-------------------------|-----------------------|----------------------|---------|
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| 10 | 100 | 10 | 10× |
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| 30 | 900 | 30 | 30× |
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| 50 | 2,500 | 50 | 50× |
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Typical Kotlin inference sessions for moderate generics see B ≈ 5–15; complex higher-kinded
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scenarios can reach B = 30–50. The patch provides consistent O(1) dedup across all cases.
|
||||
|
||||
## Affected Versions
|
||||
|
||||
All Kotlin compiler versions with `ConstraintSystemBuilderImpl` / `TypeBoundsImpl`
|
||||
(Kotlin 1.0+; still present in K1 frontend used by kotlinc and IntelliJ IDEA K1 mode).
|
||||
|
||||
## References
|
||||
|
||||
- JetBrains YouTrack (none filed)
|
||||
- Upstream source: `compiler/frontend/src/org/jetbrains/kotlin/resolve/calls/inference/`
|
||||
- CWE-407: https://cwe.mitre.org/data/definitions/407.html
|
||||
29
defects/netty/patch/CLEAN.md
Normal file
29
defects/netty/patch/CLEAN.md
Normal file
|
|
@ -0,0 +1,29 @@
|
|||
# CLEAN — Netty
|
||||
Scanned 2026-03-29 for CWE-407 (algorithmic complexity).
|
||||
|
||||
## Scope
|
||||
Modules scanned: common, handler (SSL/TLS), codec-http, codec-http2, transport.
|
||||
|
||||
## Findings
|
||||
|
||||
### handler/ssl/JdkBaseApplicationProtocolNegotiator — NoFailProtocolSelector.select()
|
||||
`for (String p : supportedProtocols)` iterates a `Set<String>` (field declared as
|
||||
`Set<String> supportedProtocols`) and calls `protocols.contains(p)` on a `List<String>`.
|
||||
The outer set is O(S) where S = supported ALPN protocol count (typically 1–3); inner
|
||||
list scan is O(P) where P = negotiated protocol count (also typically 1–3). Total O(S×P)
|
||||
but bounded to small constants — not actionable.
|
||||
|
||||
### handler/ssl/JdkBaseApplicationProtocolNegotiator — NoFailProtocolSelectionListener.selected()
|
||||
`supportedProtocols.contains(protocol)` — single call, not in a loop. Not a CWE-407 issue.
|
||||
|
||||
### handler/ssl/SslUtils.addIfSupported()
|
||||
`supported.contains(n)` — `supported` is declared `Set<String>`. O(1). Clean.
|
||||
|
||||
### codec-http2/HttpConversionUtil — HTTP_TO_HTTP2_HEADER_BLACKLIST.contains()
|
||||
Both `HTTP_TO_HTTP2_HEADER_BLACKLIST` and `connectionBlacklist` are `Set<AsciiString>` — O(1). Clean.
|
||||
|
||||
### transport/NioChannelOption — supportedOptions().contains()
|
||||
Returns `Set<SocketOption<?>>` from the JDK. Clean.
|
||||
|
||||
## Result
|
||||
**CLEAN. No actionable CWE-407 defects found in Netty.**
|
||||
|
|
@ -0,0 +1,76 @@
|
|||
# UNDF: UNDF-2026-000000472
|
||||
# UNDF: (pending)
|
||||
# nifi-0001: StandardParameterContext.verifyNoCycles — O(D²) Stack.contains on DFS path
|
||||
|
||||
## CWE-407 — Algorithmic Complexity
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | nifi-0001 |
|
||||
| Severity | MEDIUM |
|
||||
| Ecosystem | nifi |
|
||||
| Package | nifi-framework-components |
|
||||
| File | `nifi-framework-bundle/nifi-framework/nifi-framework-components/src/main/java/org/apache/nifi/parameter/StandardParameterContext.java` |
|
||||
| Lines | 532–556 |
|
||||
| Complexity | O(D²) |
|
||||
| Hot path | Called on every ParameterContext inheritance update |
|
||||
|
||||
## Defect
|
||||
|
||||
`verifyNoCycles` uses a `Stack<String>` (which extends `Vector<String>`) to track the DFS
|
||||
path and calls `traversedIds.contains(id)` to detect back-edges. `Stack.contains()` is an
|
||||
O(D) linear scan, called once per node at each recursion level, giving O(D²) total where D is
|
||||
the depth of the ParameterContext inheritance chain.
|
||||
|
||||
```java
|
||||
private void verifyNoCycles(final Stack<String> traversedIds,
|
||||
final List<ParameterContext> parameterContexts) {
|
||||
for (final ParameterContext parameterContext : parameterContexts) {
|
||||
final String id = parameterContext.getIdentifier();
|
||||
if (traversedIds.contains(id)) { // O(D) linear scan
|
||||
throw new IllegalStateException(...);
|
||||
}
|
||||
traversedIds.push(id);
|
||||
verifyNoCycles(traversedIds, parameterContext.getInheritedParameterContexts());
|
||||
traversedIds.pop();
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Fix
|
||||
|
||||
Replace `Stack<String>` with a `HashSet<String>` for the visited-in-current-path set. Since
|
||||
`Stack` is used as a DFS path tracker, we need O(1) membership checks. Use a `Set<String>` for
|
||||
the cycle check and a separate `Deque<String>` only if ordering is needed (it is not here).
|
||||
|
||||
```java
|
||||
private void verifyNoCycles(final List<ParameterContext> parameterContexts) {
|
||||
final Set<String> traversedIds = new HashSet<>();
|
||||
traversedIds.add(id);
|
||||
verifyNoCycles(traversedIds, parameterContexts);
|
||||
}
|
||||
|
||||
private void verifyNoCycles(final Set<String> traversedIds,
|
||||
final List<ParameterContext> parameterContexts) {
|
||||
for (final ParameterContext parameterContext : parameterContexts) {
|
||||
final String id = parameterContext.getIdentifier();
|
||||
if (traversedIds.contains(id)) { // O(1) hash lookup
|
||||
throw new IllegalStateException(
|
||||
String.format("Circular references in Parameter Contexts not allowed. "
|
||||
+ "[%s] was detected in a cycle.", parameterContext.getName()));
|
||||
}
|
||||
traversedIds.add(id);
|
||||
verifyNoCycles(traversedIds, parameterContext.getInheritedParameterContexts());
|
||||
traversedIds.remove(id);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Speedup
|
||||
|
||||
| D (chain depth) | Before (ops) | After (ops) | Speedup |
|
||||
|-----------------|-------------|-------------|---------|
|
||||
| 10 | 100 | 10 | 10× |
|
||||
| 50 | 2,500 | 50 | 50× |
|
||||
| 100 | 10,000 | 100 | 100× |
|
||||
| 500 | 250,000 | 500 | 500× |
|
||||
20
defects/protobuf/patch/CLEAN.md
Normal file
20
defects/protobuf/patch/CLEAN.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
# CLEAN — Protocol Buffers (Java)
|
||||
Scanned 2026-03-29 for CWE-407 (algorithmic complexity).
|
||||
|
||||
## Scope
|
||||
Java library: java/core/src/main and java/util/src/main — Descriptors, DynamicMessage,
|
||||
MessageLiteToString, JsonFormat, SchemaUtil, DescriptorMessageInfoFactory.
|
||||
|
||||
## Findings
|
||||
|
||||
### MessageLiteToString — setters.contains()
|
||||
`setters` is `Set<String> setters = new HashSet<>()`. O(1). Clean.
|
||||
|
||||
### JsonFormat — includingDefaultValueFields.contains()
|
||||
`includingDefaultValueFields` is `Set<FieldDescriptor>`. O(1). Clean.
|
||||
|
||||
### DescriptorMessageInfoFactory — specialFieldNames.contains()
|
||||
`specialFieldNames` is a static `Set<String>`. O(1). Clean.
|
||||
|
||||
## Result
|
||||
**CLEAN. No actionable CWE-407 defects found in Protocol Buffers Java library.**
|
||||
95
defects/scala3/patch/scala3-0001-namer-export-seen-list.md
Normal file
95
defects/scala3/patch/scala3-0001-namer-export-seen-list.md
Normal file
|
|
@ -0,0 +1,95 @@
|
|||
# UNDF: UNDF-2026-000000271
|
||||
# UNDF: (pending)
|
||||
# scala3-0001: Namer.addWildcardForwarders — O(M×S) List[TermName] seen-scan for Given export forwarders
|
||||
|
||||
## CWE-407 — Algorithmic Complexity: Inefficient Algorithmic Complexity
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | scala3-0001 |
|
||||
| Severity | MEDIUM |
|
||||
| Ecosystem | scala3 |
|
||||
| Package | dotty.tools.dotc.typer |
|
||||
| File | `compiler/src/dotty/tools/dotc/typer/Namer.scala` |
|
||||
| Lines | 1418–1448 |
|
||||
| Complexity | O(M × S) — O(S) list scan per member for Given exports |
|
||||
| Hot path | `export` clause compilation — executed once per export statement |
|
||||
|
||||
## Defect
|
||||
|
||||
`Namer.addWildcardForwarders` is called when an `export path.*` wildcard clause is
|
||||
compiled. It receives `seen: List[TermName]` — the names of explicitly-listed selectors
|
||||
that precede the wildcard in the same export clause (built by prepending in
|
||||
`addForwarders`).
|
||||
|
||||
For **non-Given** members the code correctly materializes `seen` into a `mutable.HashSet`
|
||||
at the top of the function (`nonContextual`). But for **Given** members, it falls back to
|
||||
the raw `List.contains()` O(S) scan on every member:
|
||||
|
||||
```scala
|
||||
def addWildcardForwarders(seen: List[TermName], span: Span): Unit =
|
||||
val nonContextual = mutable.HashSet(seen*) // O(S) one-time copy — OK for non-Given branch
|
||||
...
|
||||
for mbr <- pathType.membersBasedOnFlags(...) do
|
||||
...
|
||||
val alias = mbr.name.toTermName
|
||||
if mbr.symbol.is(Given) then
|
||||
if !seen.contains(alias) && mbr.matchesImportBound(givenBound) then // BUG: O(S) per member
|
||||
addForwarder(alias, mbr, span)
|
||||
else if !nonContextual.contains(alias) ... // OK: O(1)
|
||||
```
|
||||
|
||||
With M members in `pathType` and S explicit selectors in `seen`, the Given branch
|
||||
performs **O(M × S)** comparisons. The non-Given branch already pays this cost to
|
||||
construct `nonContextual`, but does it only once (O(S)) then O(1) per lookup.
|
||||
The Given branch neglects to reuse `nonContextual` and re-scans the original list
|
||||
per member.
|
||||
|
||||
`TermName` is a value type with a stable `hashCode`, making it safe in `HashSet`.
|
||||
|
||||
## Fix
|
||||
|
||||
Reuse `nonContextual` (which already contains all names from `seen`) for the Given branch
|
||||
lookup. Both branches then pay O(1) per member:
|
||||
|
||||
```scala
|
||||
def addWildcardForwarders(seen: List[TermName], span: Span): Unit =
|
||||
val nonContextual = mutable.HashSet(seen*) // covers both Given and non-Given
|
||||
...
|
||||
for mbr <- pathType.membersBasedOnFlags(...) do
|
||||
...
|
||||
val alias = mbr.name.toTermName
|
||||
if mbr.symbol.is(Given) then
|
||||
if !nonContextual.contains(alias) && mbr.matchesImportBound(givenBound) then // FIX: O(1)
|
||||
addForwarder(alias, mbr, span)
|
||||
else if !nonContextual.contains(alias) && mbr.matchesImportBound(wildcardBound) then
|
||||
nonContextual += alias
|
||||
addWildcardForwardersNamed(alias, span)
|
||||
```
|
||||
|
||||
The semantics are identical: `seen` contains the names of all explicit selectors, and
|
||||
`nonContextual` is initialized to exactly `seen*`, so `nonContextual.contains(alias)` is
|
||||
equivalent to `seen.contains(alias)` but O(1) instead of O(S).
|
||||
|
||||
## Speedup
|
||||
|
||||
| M (members) | S (selectors) | Before (Given ops) | After (Given ops) | Speedup |
|
||||
|-------------|---------------|-------------------|-------------------|---------|
|
||||
| 50 | 10 | 500 | 50 | 10× |
|
||||
| 200 | 20 | 4,000 | 200 | 20× |
|
||||
| 500 | 50 | 25,000 | 500 | 50× |
|
||||
|
||||
Typical Scala 3 `export` clauses target trait-rich objects with O(100–500) members
|
||||
and O(5–30) explicit selectors. The pathological case is a large typeclass object
|
||||
with many given instances and a long list of explicit `export` selectors.
|
||||
|
||||
## Affected Versions
|
||||
|
||||
Scala 3.x (dotty) — `addWildcardForwarders` present since `export` was introduced
|
||||
in Scala 3.0; affects all versions through current main branch.
|
||||
|
||||
## References
|
||||
|
||||
- Scala 3 issue tracker (none filed)
|
||||
- Upstream source: `compiler/src/dotty/tools/dotc/typer/Namer.scala`
|
||||
- CWE-407: https://cwe.mitre.org/data/definitions/407.html
|
||||
|
|
@ -0,0 +1,102 @@
|
|||
# UNDF: UNDF-2026-000000295
|
||||
# UNDF: (pending)
|
||||
# spring-0001: BeanFactoryUtils.mergeNamesWithParent — O(P×R) ArrayList.contains inside loop
|
||||
|
||||
## CWE-407 — Algorithmic Complexity: Unnecessary Quadratic Complexity (List membership inside loop)
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | spring-0001 |
|
||||
| Severity | MEDIUM |
|
||||
| Ecosystem | spring-framework |
|
||||
| Package | org.springframework.beans.factory |
|
||||
| File | `spring-beans/src/main/java/org/springframework/beans/factory/BeanFactoryUtils.java` |
|
||||
| Lines | 525–532 |
|
||||
| Complexity | O(P×R) |
|
||||
| Hot path | bean type resolution with hierarchical ApplicationContext |
|
||||
|
||||
## Defect
|
||||
|
||||
`BeanFactoryUtils.mergeNamesWithParent()` is called by
|
||||
`beanNamesForTypeIncludingAncestors()` and related methods to merge bean name
|
||||
lists from parent and child application contexts. The `merged` variable is an
|
||||
`ArrayList<String>`. For each of the P entries in `parentResult`, the code calls
|
||||
`merged.contains(beanName)` — an O(R) linear scan where R is the number of
|
||||
already-added names. Total cost O(P×R).
|
||||
|
||||
```java
|
||||
// BeanFactoryUtils.java line 521-532
|
||||
private static String[] mergeNamesWithParent(String[] result, String[] parentResult,
|
||||
HierarchicalBeanFactory hbf) {
|
||||
if (parentResult.length == 0) {
|
||||
return result;
|
||||
}
|
||||
List<String> merged = new ArrayList<>(result.length + parentResult.length);
|
||||
merged.addAll(Arrays.asList(result));
|
||||
for (String beanName : parentResult) {
|
||||
if (!merged.contains(beanName) && !hbf.containsLocalBean(beanName)) {
|
||||
// ^^^^^^^^ O(R) per iteration → O(P×R) total
|
||||
merged.add(beanName);
|
||||
}
|
||||
}
|
||||
return StringUtils.toStringArray(merged);
|
||||
}
|
||||
```
|
||||
|
||||
This method is called from `getBeanNamesForType()`, `beanNamesForAnnotationIncludingAncestors()`,
|
||||
and similar utility methods which can be called at runtime (e.g., during dependency injection,
|
||||
AOP proxy creation, and Spring Boot auto-configuration) with deep ApplicationContext hierarchies.
|
||||
|
||||
## Fix
|
||||
|
||||
Use a `LinkedHashSet` to preserve insertion order while providing O(1) membership tests,
|
||||
or build a `HashSet` for the dedup check:
|
||||
|
||||
```java
|
||||
private static String[] mergeNamesWithParent(String[] result, String[] parentResult,
|
||||
HierarchicalBeanFactory hbf) {
|
||||
if (parentResult.length == 0) {
|
||||
return result;
|
||||
}
|
||||
Set<String> seen = new HashSet<>(Arrays.asList(result));
|
||||
List<String> merged = new ArrayList<>(result.length + parentResult.length);
|
||||
merged.addAll(Arrays.asList(result));
|
||||
for (String beanName : parentResult) {
|
||||
if (!seen.contains(beanName) && !hbf.containsLocalBean(beanName)) {
|
||||
seen.add(beanName);
|
||||
merged.add(beanName);
|
||||
}
|
||||
}
|
||||
return StringUtils.toStringArray(merged);
|
||||
}
|
||||
```
|
||||
|
||||
Alternatively, use `LinkedHashSet` directly:
|
||||
|
||||
```java
|
||||
private static String[] mergeNamesWithParent(String[] result, String[] parentResult,
|
||||
HierarchicalBeanFactory hbf) {
|
||||
if (parentResult.length == 0) {
|
||||
return result;
|
||||
}
|
||||
Set<String> merged = new LinkedHashSet<>(Arrays.asList(result));
|
||||
for (String beanName : parentResult) {
|
||||
if (!merged.contains(beanName) && !hbf.containsLocalBean(beanName)) {
|
||||
merged.add(beanName);
|
||||
}
|
||||
}
|
||||
return StringUtils.toStringArray(merged);
|
||||
}
|
||||
```
|
||||
|
||||
## Speedup
|
||||
|
||||
| R (result count) | P (parentResult count) | Before (ops) | After (ops) | Speedup |
|
||||
|-----------------|------------------------|-------------|-------------|---------|
|
||||
| 100 | 100 | 10,000 | 100 | 100× |
|
||||
| 500 | 500 | 250,000 | 500 | 500× |
|
||||
| 1,000 | 1,000 | 1,000,000 | 1,000 | 1,000× |
|
||||
|
||||
Applications with large numbers of beans and deep ApplicationContext hierarchies
|
||||
(common in Spring Boot multi-module applications and OSGi container deployments)
|
||||
are most affected.
|
||||
|
|
@ -0,0 +1,85 @@
|
|||
# UNDF: UNDF-2026-000000317
|
||||
# UNDF: (pending)
|
||||
# spring-0002: DefaultListableBeanFactory.getBeanNamesForAnnotation — O(B×M) ArrayList.contains inside loop
|
||||
|
||||
## CWE-407 — Algorithmic Complexity: Unnecessary Quadratic Complexity (List membership inside loop)
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | spring-0002 |
|
||||
| Severity | MEDIUM |
|
||||
| Ecosystem | spring-framework |
|
||||
| Package | org.springframework.beans.factory.support |
|
||||
| File | `spring-beans/src/main/java/org/springframework/beans/factory/support/DefaultListableBeanFactory.java` |
|
||||
| Lines | 770–784 |
|
||||
| Complexity | O(B×M) |
|
||||
| Hot path | `getBeanNamesForAnnotation()` — called during startup and annotation-driven wiring |
|
||||
|
||||
## Defect
|
||||
|
||||
`DefaultListableBeanFactory.getBeanNamesForAnnotation()` builds a result list from
|
||||
two sources: `beanDefinitionNames` and `manualSingletonNames`. For each of the M
|
||||
entries in `manualSingletonNames` it calls `result.contains(beanName)` where `result`
|
||||
is an `ArrayList<String>` that has already been populated with up to B entries from
|
||||
`beanDefinitionNames`. This is O(B×M) — quadratic in total bean count.
|
||||
|
||||
```java
|
||||
// DefaultListableBeanFactory.java line 770-784
|
||||
public String[] getBeanNamesForAnnotation(Class<? extends Annotation> annotationType) {
|
||||
List<String> result = new ArrayList<>();
|
||||
for (String beanName : this.beanDefinitionNames) {
|
||||
BeanDefinition bd = this.beanDefinitionMap.get(beanName);
|
||||
if (bd != null && !bd.isAbstract() && findAnnotationOnBean(beanName, annotationType) != null) {
|
||||
result.add(beanName);
|
||||
}
|
||||
}
|
||||
for (String beanName : this.manualSingletonNames) {
|
||||
if (!result.contains(beanName) && findAnnotationOnBean(beanName, annotationType) != null) {
|
||||
// ^^^^^^^^ O(B) per iteration → O(B×M) total
|
||||
result.add(beanName);
|
||||
}
|
||||
}
|
||||
return StringUtils.toStringArray(result);
|
||||
}
|
||||
```
|
||||
|
||||
`findAnnotationOnBean()` involves reflection and is itself expensive — but it is only called
|
||||
after `result.contains()` succeeds (for the negative branch), so the list scan overhead is
|
||||
paid on every iteration including those that ultimately do nothing.
|
||||
|
||||
## Fix
|
||||
|
||||
Build a `HashSet` shadow alongside `result` to provide O(1) dedup:
|
||||
|
||||
```java
|
||||
public String[] getBeanNamesForAnnotation(Class<? extends Annotation> annotationType) {
|
||||
List<String> result = new ArrayList<>();
|
||||
Set<String> seen = new HashSet<>();
|
||||
for (String beanName : this.beanDefinitionNames) {
|
||||
BeanDefinition bd = this.beanDefinitionMap.get(beanName);
|
||||
if (bd != null && !bd.isAbstract() && findAnnotationOnBean(beanName, annotationType) != null) {
|
||||
result.add(beanName);
|
||||
seen.add(beanName);
|
||||
}
|
||||
}
|
||||
for (String beanName : this.manualSingletonNames) {
|
||||
if (!seen.contains(beanName) && findAnnotationOnBean(beanName, annotationType) != null) {
|
||||
result.add(beanName);
|
||||
}
|
||||
}
|
||||
return StringUtils.toStringArray(result);
|
||||
}
|
||||
```
|
||||
|
||||
## Speedup
|
||||
|
||||
| B (bean definitions) | M (manual singletons) | Before (ops) | After (ops) | Speedup |
|
||||
|---------------------|-----------------------|-------------|-------------|---------|
|
||||
| 500 | 100 | 50,000 | 600 | 83× |
|
||||
| 1,000 | 500 | 500,000 | 1,500 | 333× |
|
||||
| 5,000 | 1,000 | 5,000,000 | 6,000 | 833× |
|
||||
|
||||
Large Spring Boot applications with hundreds of beans annotated with `@Service`,
|
||||
`@Component`, `@Controller` etc. will benefit most. `getBeanNamesForAnnotation()`
|
||||
is called by `getBeansWithAnnotation()`, event publisher detection, and various
|
||||
Spring Boot auto-configuration processors.
|
||||
|
|
@ -0,0 +1,95 @@
|
|||
# UNDF: UNDF-2026-000000296
|
||||
# UNDF: (pending)
|
||||
# spring-0003: AnnotationTypeMapping.processAliases — O(A²×D×L) ArrayList.contains in nested annotation attribute loop
|
||||
|
||||
## CWE-407 — Algorithmic Complexity: Unnecessary Quadratic Complexity (List membership inside nested loop)
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | spring-0003 |
|
||||
| Severity | MEDIUM |
|
||||
| Ecosystem | spring-framework |
|
||||
| Package | org.springframework.core.annotation |
|
||||
| File | `spring-core/src/main/java/org/springframework/core/annotation/AnnotationTypeMapping.java` |
|
||||
| Lines | 197–258, 556–573 |
|
||||
| Complexity | O(A²×D×L) |
|
||||
| Hot path | annotation type mapping initialization (startup + first use per annotation type) |
|
||||
|
||||
## Defect
|
||||
|
||||
`AnnotationTypeMapping.processAliases()` resolves `@AliasFor` relationships across
|
||||
meta-annotation hierarchies. It is called once per annotation type during mapping
|
||||
construction (cached afterwards). The `aliases` local variable is an `ArrayList<Method>`.
|
||||
|
||||
For each annotation attribute (A attributes), `processAliases(i, aliases)` is called.
|
||||
Inside that method, for each level in the meta-annotation chain (D levels), it iterates
|
||||
over all attributes (A) and calls `aliases.contains(mapping.attributes.get(i))` — an O(L)
|
||||
scan where L is the current aliases list size. The same pattern appears in
|
||||
`getFirstRootAttributeIndex()` and `MirrorSets.updateFrom()`.
|
||||
|
||||
```java
|
||||
// processAliases(int attributeIndex, List<Method> aliases) — lines 223-248
|
||||
AnnotationTypeMapping mapping = this;
|
||||
while (mapping != null) { // D iterations (meta-annotation depth)
|
||||
if (rootAttributeIndex != -1 && mapping != this.root) {
|
||||
for (int i = 0; i < mapping.attributes.size(); i++) { // A iterations
|
||||
if (aliases.contains(mapping.attributes.get(i))) { // O(L) scan
|
||||
mapping.aliasMappings[i] = rootAttributeIndex;
|
||||
}
|
||||
}
|
||||
}
|
||||
mapping.mirrorSets.updateFrom(aliases); // updateFrom also calls aliases.contains()
|
||||
...
|
||||
mapping = mapping.source;
|
||||
}
|
||||
|
||||
// MirrorSets.updateFrom(Collection<Method> aliases) — lines 556-573
|
||||
for (int i = 0; i < attributes.size(); i++) { // A iterations
|
||||
Method attribute = attributes.get(i);
|
||||
if (aliases.contains(attribute)) { // O(L) scan
|
||||
...
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Total cost per annotation type: O(A × D × A × L) = O(A²×D×L).
|
||||
|
||||
For complex composed annotations (e.g., `@SpringBootTest`, `@Transactional`, framework
|
||||
stereotypes with `@AliasFor` chains), A can be 10–30, D can be 5–10, L can be 5–10,
|
||||
yielding up to ~90,000 operations per annotation type initialization.
|
||||
|
||||
## Fix
|
||||
|
||||
Replace `List<Method>` with `LinkedHashSet<Method>` for `aliases` to make `.contains()`
|
||||
O(1) while preserving insertion order (order matters for alias resolution):
|
||||
|
||||
```java
|
||||
private void processAliases() {
|
||||
Set<Method> aliases = new LinkedHashSet<>(); // was: List<Method> aliases = new ArrayList<>();
|
||||
for (int i = 0; i < this.attributes.size(); i++) {
|
||||
aliases.clear();
|
||||
aliases.add(this.attributes.get(i));
|
||||
collectAliases(aliases);
|
||||
if (aliases.size() > 1) {
|
||||
processAliases(i, aliases);
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The `processAliases(int, List<Method>)` signature must also accept `Collection<Method>`
|
||||
or `Set<Method>` (or keep `List<Method>` and pass `new ArrayList<>(aliases)`).
|
||||
Similarly update `getFirstRootAttributeIndex()` and `MirrorSets.updateFrom()` parameter
|
||||
types to accept `Collection<Method>`.
|
||||
|
||||
## Speedup
|
||||
|
||||
| A (attributes) | D (depth) | L (alias list) | Before (ops) | After (ops) | Speedup |
|
||||
|---------------|-----------|---------------|-------------|-------------|---------|
|
||||
| 10 | 5 | 5 | 2,500 | 500 | 5× |
|
||||
| 20 | 8 | 10 | 32,000 | 4,000 | 8× |
|
||||
| 30 | 10 | 15 | 135,000 | 9,000 | 15× |
|
||||
|
||||
Annotation types are cached after first construction, so this is a startup / first-use
|
||||
cost rather than per-request. Applications with many composed annotations (Spring Boot,
|
||||
Spring Security, Spring Data) construct many such mappings during startup.
|
||||
|
|
@ -1,20 +1,19 @@
|
|||
# CLEAN — Apache Thrift
|
||||
Scanned 2026-03-29 for CWE-407.
|
||||
# CLEAN — Apache Thrift (Java)
|
||||
Scanned 2026-03-29 for CWE-407 (algorithmic complexity).
|
||||
|
||||
## Scope
|
||||
|
||||
- `lib/java/src/main/java` — Java runtime library (PartialThriftComparer, TBase implementations)
|
||||
- `compiler/cpp/src/thrift/parse/` — C++ IDL compiler (t_scope.h, t_program.h, t_const_value.h)
|
||||
Library: lib/java/src — TBinaryProtocol, TCompactProtocol, TJSONProtocol, partial Thrift
|
||||
comparer, service processor infrastructure.
|
||||
|
||||
## Findings
|
||||
|
||||
| Location | Pattern | Type | Result |
|
||||
|----------|---------|------|--------|
|
||||
| `PartialThriftComparer.areEqual` (Set path) | `s2.contains(e1)` in loop over s1 | `s2` is `Set<Object>` (Java Set semantics per Thrift spec) | CLEAN |
|
||||
| `t_scope.h` | `types_.find`, `services_.find`, `constants_.find` | `std::map` — O(log N) | CLEAN |
|
||||
| `t_program.h` | namespace lookups | `std::map` | CLEAN |
|
||||
| `contrib/thrift-maven-plugin` | `thriftPathElements.contains` | Called once per directory during classpath building, not in hot loop | LOW |
|
||||
### partial/PartialThriftComparer — s2.contains()
|
||||
`s2` is cast from parameter `Object o2` and the cast target is `Set<Object>`:
|
||||
```java
|
||||
Set<Object> s2 = (Set<Object>) o2;
|
||||
if (!s2.contains(e1)) { ... }
|
||||
```
|
||||
O(1) set membership. Clean.
|
||||
|
||||
The Java library is minimal and the C++ compiler uses `std::map` (ordered map, O(log N) find). No quadratic list-membership pattern exists in the production hot path.
|
||||
|
||||
**Result: No actionable CWE-407 defects.**
|
||||
## Result
|
||||
**CLEAN. No actionable CWE-407 defects found in Apache Thrift (Java library).**
|
||||
|
|
|
|||
|
|
@ -1,21 +1,22 @@
|
|||
# CLEAN — Tor Anonymity Network
|
||||
Scanned 2026-03-29 for CWE-407 (algorithmic complexity: O(N²) linear membership tests, O(2^D) diamond recursion).
|
||||
# CLEAN — Tor Anonymity Network (beyond tor-0001/0002/0003)
|
||||
Scanned 2026-03-29 for additional CWE-407 defects beyond existing patches.
|
||||
|
||||
## Scope
|
||||
- `src/feature/client/entrynodes.c` — guard node selection, sampled/confirmed guard lists
|
||||
- `src/feature/client/circpathbias.c` — circuit path bias tracking
|
||||
- `src/feature/nodelist/node_select.c` — node selection with exclusion lists
|
||||
- `src/feature/nodelist/nodelist.c` — family membership, `nodes_have_common_family_id`
|
||||
- `src/feature/nodelist/routerlist.c` — router descriptor ingestion
|
||||
- `src/feature/hs/hs_service.c` — hidden service hsdir tracking
|
||||
- `src/feature/relay/dns.c` — DNS wildcard detection
|
||||
## Existing Defects (already patched)
|
||||
- `tor-0001` — `router_load_routers_from_string` requested_fingerprints smartlist O(R²) → digestmap
|
||||
- `tor-0002` — `nodes_have_common_family_id` family ID string scan → strmap
|
||||
- `tor-0003` — KIST scheduler re-add heap index O(N) → O(1)
|
||||
|
||||
## Additional Areas Scanned
|
||||
- `src/feature/client/entrynodes.c` — guard selection, sampled/confirmed guard lists
|
||||
- `src/feature/nodelist/node_select.c` — node exclusion via bitarray (already O(N))
|
||||
- `src/feature/hs/hs_service.c` — previous_hsdirs tracking (bounded ≤6 entries)
|
||||
- `src/feature/relay/dns.c` — dns_wildcard_list scan (bounded ≤10 entries)
|
||||
- `src/feature/client/circpathbias.c` — circuit list scan (one-off at circuit close)
|
||||
|
||||
## Findings
|
||||
- **`nodelist_subtract`** (`node_select.c:890`) — explicitly noted in comments as "delivers linear performance when smartlist_subtract would be quadratic." Uses `bitarray_t` indexed by `node->nodelist_idx`. O(N+M). CLEAN.
|
||||
- **`nodes_have_common_family_id`** (`nodelist.c:2190`) — O(|ids_a| × |ids_b|) nested loop over family certificate IDs. Both lists are tiny (typically 1–3 IDs per relay). Outer loop in `nodelist_add_node_and_family` iterates all ~7000 relays but inner product is O(F²) where F≪1. Not a scalable O(N²). CLEAN.
|
||||
- **`entrynodes.c` guard lists** — `smartlist_contains` on `primary_entry_guards` and `confirmed_entry_guards`: bounded by `MAX_SAMPLE_THRESHOLD` (dozens), called in setup/error paths (BUG assertions), not hot per-circuit. CLEAN.
|
||||
- **`hs_service.c` `previous_hsdirs`** — `smartlist_contains_string` on a list bounded by `REND_NUMBER_OF_CONSECUTIVE_REPLICAS` (6). CLEAN.
|
||||
- **`dns.c` `dns_wildcard_list`** — linear scan on a list of hijacked IPs. In practice contains 0–10 entries; called once per DNS response. CLEAN.
|
||||
- **Router descriptor ingestion** — `requested_fingerprints` shrinks as each router is processed (O(N) total). CLEAN.
|
||||
- **`nodelist_subtract`** — already uses `bitarray_t` for O(N) subtraction. CLEAN.
|
||||
- **`entrynodes.c` guard BUG-checks** — constant-bounded (MAX_SAMPLE_THRESHOLD dozens). CLEAN.
|
||||
- **`hs_service.c` previous_hsdirs** — bounded by `REND_NUMBER_OF_CONSECUTIVE_REPLICAS` (6). CLEAN.
|
||||
- **`dns.c` wildcard list** — bounded to ~10 hijacked IPs. CLEAN.
|
||||
|
||||
**Result: No actionable CWE-407 defects. Tor's hot node-selection paths use bitarray-indexed O(N) exclusion; all family/guard list scans operate on constant-bounded collections.**
|
||||
**Result: No additional CWE-407 defects beyond existing patches.**
|
||||
|
|
|
|||
|
|
@ -0,0 +1,93 @@
|
|||
# UNDF: UNDF-2026-000000560
|
||||
# UNDF: (pending)
|
||||
# trino-0001: StatementAnalyzer JOIN USING — O(C×J) ArrayList.contains for field dedup
|
||||
|
||||
## CWE-407 — Algorithmic Complexity
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | trino-0001 |
|
||||
| Severity | MEDIUM |
|
||||
| Ecosystem | trino |
|
||||
| Package | trino-main |
|
||||
| File | `core/trino-main/src/main/java/io/trino/sql/analyzer/StatementAnalyzer.java` |
|
||||
| Lines | 3975–4030 |
|
||||
| Complexity | O(C×J) |
|
||||
| Hot path | Called for every SQL JOIN ... USING (...) query during analysis |
|
||||
|
||||
## Defect
|
||||
|
||||
When analyzing a `JOIN ... USING (col1, col2, ...)` clause, two `ArrayList<Integer>` lists
|
||||
(`leftJoinFields`, `rightJoinFields`) are built from the USING column indices, then used as
|
||||
membership test targets in loops over all fields of the left and right relation types:
|
||||
|
||||
```java
|
||||
List<Integer> leftJoinFields = new ArrayList<>();
|
||||
List<Integer> rightJoinFields = new ArrayList<>();
|
||||
|
||||
// build phase: O(J)
|
||||
for (Identifier column : columns) {
|
||||
leftJoinFields.add(leftField.getRelationFieldIndex());
|
||||
rightJoinFields.add(rightField.getRelationFieldIndex());
|
||||
}
|
||||
|
||||
// output phase: O(C × J) -- for each field, scan the list
|
||||
for (int i = 0; i < left.getRelationType().getAllFieldCount(); i++) {
|
||||
if (!leftJoinFields.contains(i)) { // O(J) linear scan per field
|
||||
outputs.add(...); leftFields.add(i);
|
||||
}
|
||||
}
|
||||
for (int i = 0; i < right.getRelationType().getAllFieldCount(); i++) {
|
||||
if (!rightJoinFields.contains(i)) { // O(J) linear scan per field
|
||||
outputs.add(...); rightFields.add(i);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Where C = total column count across both sides, J = number of USING columns. For wide tables
|
||||
(C large) with many join keys (J large), this degrades to O(C²) in the worst case.
|
||||
|
||||
## Fix
|
||||
|
||||
Replace `ArrayList<Integer>` with `HashSet<Integer>` for O(1) membership lookup. The lists are
|
||||
only used for contains checks in the output phase; the ordering is not required for that.
|
||||
|
||||
```java
|
||||
Set<Integer> leftJoinFields = new HashSet<>();
|
||||
Set<Integer> rightJoinFields = new HashSet<>();
|
||||
|
||||
// build phase
|
||||
for (Identifier column : columns) {
|
||||
leftJoinFields.add(leftField.getRelationFieldIndex());
|
||||
rightJoinFields.add(rightField.getRelationFieldIndex());
|
||||
joinFields.add(Field.newUnqualified(column.getValue(), type.get()));
|
||||
// ... other logic unchanged
|
||||
}
|
||||
|
||||
// output phase: O(C) total
|
||||
for (int i = 0; i < left.getRelationType().getAllFieldCount(); i++) {
|
||||
if (!leftJoinFields.contains(i)) { // O(1) hash lookup
|
||||
outputs.add(left.getRelationType().getFieldByIndex(i));
|
||||
leftFields.add(i);
|
||||
}
|
||||
}
|
||||
for (int i = 0; i < right.getRelationType().getAllFieldCount(); i++) {
|
||||
if (!rightJoinFields.contains(i)) { // O(1) hash lookup
|
||||
outputs.add(right.getRelationType().getFieldByIndex(i));
|
||||
rightFields.add(i);
|
||||
}
|
||||
}
|
||||
// Pass sets to JoinUsingAnalysis (also accepts Collection<Integer>)
|
||||
analysis.setJoinUsing(node, new Analysis.JoinUsingAnalysis(
|
||||
ImmutableList.copyOf(leftJoinFields), ImmutableList.copyOf(rightJoinFields),
|
||||
leftFields.build(), rightFields.build()));
|
||||
```
|
||||
|
||||
## Speedup
|
||||
|
||||
| C (columns) | J (join keys) | Before (ops) | After (ops) | Speedup |
|
||||
|-------------|--------------|-------------|-------------|---------|
|
||||
| 50 | 5 | 250 | 50 | 5× |
|
||||
| 200 | 20 | 4,000 | 200 | 20× |
|
||||
| 500 | 50 | 25,000 | 500 | 50× |
|
||||
| 1,000 | 100 | 100,000 | 1,000 | 100× |
|
||||
|
|
@ -0,0 +1,73 @@
|
|||
# UNDF: UNDF-2026-000000233
|
||||
# UNDF: (pending)
|
||||
# vertx-core-0001: HAManager.nodeLeft — O(N×M) nodes List.contains inside clusterMap loop
|
||||
|
||||
## CWE-407 — Algorithmic Complexity: Unnecessary Quadratic Complexity (List membership inside loop)
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| ID | vertx-core-0001 |
|
||||
| Severity | HIGH |
|
||||
| Ecosystem | vertx-core |
|
||||
| Package | io.vertx.core.impl |
|
||||
| File | `vertx-core/src/main/java/io/vertx/core/impl/HAManager.java` |
|
||||
| Lines | 307–314 |
|
||||
| Complexity | O(N×M) |
|
||||
| Hot path | every cluster node departure event |
|
||||
|
||||
## Defect
|
||||
|
||||
`HAManager.nodeLeft()` is called whenever a node leaves a Vert.x cluster. It
|
||||
resumes any prior failed failovers by scanning `clusterMap` for entries not in
|
||||
the current live node list. The live node list is obtained from
|
||||
`clusterManager.getNodes()` which returns a `List<String>`. For each of the N
|
||||
entries in `clusterMap`, it calls `nodes.contains(entry.getKey())` — an O(M)
|
||||
linear scan of the node list. With N cluster-map entries and M live nodes the
|
||||
total cost is O(N×M) per node-departure event.
|
||||
|
||||
```java
|
||||
// HAManager.java line 307-314
|
||||
List<String> nodes = clusterManager.getNodes(); // returns List<String>
|
||||
|
||||
for (Map.Entry<String, String> entry: clusterMap.entrySet()) {
|
||||
if (!leftNodeID.equals(entry.getKey()) && !nodes.contains(entry.getKey())) {
|
||||
// ^^^^^^^^ O(M) per iteration
|
||||
JsonObject haInfo = new JsonObject(entry.getValue());
|
||||
checkFailover(entry.getKey(), haInfo);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The same pattern appears in `addHaInfoIfLost()` (line 319):
|
||||
```java
|
||||
if (clusterManager.getNodes().contains(nodeID) && ...) // O(M) single call, low risk
|
||||
```
|
||||
|
||||
## Fix
|
||||
|
||||
Convert the node list to a `HashSet` before the loop so membership checks are O(1).
|
||||
|
||||
```java
|
||||
Set<String> nodesSet = new HashSet<>(clusterManager.getNodes());
|
||||
|
||||
for (Map.Entry<String, String> entry: clusterMap.entrySet()) {
|
||||
if (!leftNodeID.equals(entry.getKey()) && !nodesSet.contains(entry.getKey())) {
|
||||
JsonObject haInfo = new JsonObject(entry.getValue());
|
||||
checkFailover(entry.getKey(), haInfo);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
For `addHaInfoIfLost()` the single call is not in a loop so is low risk — but can be converted similarly if consistency is desired.
|
||||
|
||||
## Speedup
|
||||
|
||||
| N (clusterMap entries) | M (nodes) | Before (ops) | After (ops) | Speedup |
|
||||
|------------------------|-----------|-------------|-------------|---------|
|
||||
| 100 | 100 | 10,000 | 100 | 100× |
|
||||
| 500 | 500 | 250,000 | 500 | 500× |
|
||||
| 1,000 | 1,000 | 1,000,000 | 1,000 | 1,000× |
|
||||
|
||||
In large Vert.x HA clusters with many concurrent deployments the quadratic
|
||||
cost is paid on every node failure event — exactly when latency matters most
|
||||
for failover speed.
|
||||
Loading…
Add table
Add a link
Reference in a new issue