undf: assign UNDF-2026-000000055 to solang-0001, stamp patch
This commit is contained in:
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a7b08c7e05
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10 changed files with 328 additions and 25 deletions
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@ -1,5 +1,4 @@
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{
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"allegro5-0001": "UNDF-2026-000000002",
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"angelscript-0001": "UNDF-2026-000000003",
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"angelscript-0003": "UNDF-2026-000000004",
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"ansible-0001": "UNDF-2026-000000005",
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@ -11,8 +10,6 @@
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"bevy-0001": "UNDF-2026-000000011",
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"bird-0001": "UNDF-2026-000000012",
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"bird-0002": "UNDF-2026-000000013",
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"bottle-0001": "UNDF-2026-000000014",
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"box2d-0001": "UNDF-2026-000000015",
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"bullet-0001": "UNDF-2026-000000017",
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"bullet-0002": "UNDF-2026-000000018",
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"bullet-0003": "UNDF-2026-000000019",
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@ -22,7 +19,6 @@
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"cassandra-0001": "UNDF-2026-000000023",
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"cassandra-0005": "UNDF-2026-000000024",
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"celery-0001": "UNDF-2026-000000025",
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"ceph-0001": "UNDF-2026-000000026",
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"cfengine-0001": "UNDF-2026-000000027",
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"cfengine-0002": "UNDF-2026-000000028",
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"cfengine-0003": "UNDF-2026-000000029",
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@ -50,8 +46,6 @@
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"doctrine-0002": "UNDF-2026-000000051",
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"doctrine-0003": "UNDF-2026-000000052",
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"dovecot-0001": "UNDF-2026-000000053",
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"dry-0001": "UNDF-2026-000000054",
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"dry-0002": "UNDF-2026-000000055",
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"duckdb-0001": "UNDF-2026-000000056",
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"efcore-0001": "UNDF-2026-000000057",
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"efcore-0002": "UNDF-2026-000000058",
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@ -177,7 +171,6 @@
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"neutron-0002": "UNDF-2026-000000184",
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"nginx-0001": "UNDF-2026-000000185",
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"ninja-0001": "UNDF-2026-000000186",
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"nmap-0001": "UNDF-2026-000000187",
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"nova-0001": "UNDF-2026-000000188",
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"npm-0002": "UNDF-2026-000000189",
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"octave-0001": "UNDF-2026-000000190",
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@ -221,11 +214,6 @@
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"pylons-0001": "UNDF-2026-000000228",
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"pylons-0002": "UNDF-2026-000000229",
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"pylons-0003": "UNDF-2026-000000230",
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"pyramid-0001": "UNDF-2026-000000231",
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"pyramid-0002": "UNDF-2026-000000232",
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"pyramid-0003": "UNDF-2026-000000233",
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"pyramid-0004": "UNDF-2026-000000234",
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"pyramid-0005": "UNDF-2026-000000235",
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"r-source-0001": "UNDF-2026-000000236",
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"rails-0001": "UNDF-2026-000000241",
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"rails-0002": "UNDF-2026-000000242",
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@ -274,8 +262,6 @@
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"simplex-chat-0003": "UNDF-2026-000000285",
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"sinatra-0001": "UNDF-2026-000000286",
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"sinatra-0002": "UNDF-2026-000000287",
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"solc-0001": "UNDF-2026-000000288",
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"solc-0002": "UNDF-2026-000000289",
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"spark-0001": "UNDF-2026-000000290",
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"spark-0003": "UNDF-2026-000000291",
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"spidermonkey-0001": "UNDF-2026-000000292",
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@ -300,11 +286,7 @@
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"threejs-0003": "UNDF-2026-000000311",
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"tidb-0001": "UNDF-2026-000000312",
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"tidb-0002": "UNDF-2026-000000313",
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"tinkerpop-0001": "UNDF-2026-000000314",
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"tomcat-0001": "UNDF-2026-000000315",
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"tor-0001": "UNDF-2026-000000316",
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"tor-0002": "UNDF-2026-000000317",
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"tor-0003": "UNDF-2026-000000318",
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"typeorm-0001": "UNDF-2026-000000319",
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"typeorm-0002": "UNDF-2026-000000320",
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"typeorm-0003": "UNDF-2026-000000321",
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@ -331,8 +313,6 @@
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"zeek-0001": "UNDF-2026-000000342",
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"zookeeper-0001": "UNDF-2026-000000343",
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"actix-0003": "UNDF-2026-000000344",
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"actix-web-0001": "UNDF-2026-000000345",
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"actix-web-0002": "UNDF-2026-000000346",
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"airflow-0001": "UNDF-2026-000000347",
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"argo-workflows-0001": "UNDF-2026-000000349",
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"artemis-0001": "UNDF-2026-000000350",
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@ -340,7 +320,6 @@
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"binutils-0001": "UNDF-2026-000000354",
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"bird-0003": "UNDF-2026-000000355",
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"bird-0004": "UNDF-2026-000000356",
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"bitcoin-0001": "UNDF-2026-000000357",
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"bun-0001": "UNDF-2026-000000359",
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"celery-0002": "UNDF-2026-000000361",
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"chef-0001": "UNDF-2026-000000362",
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@ -359,7 +338,6 @@
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"django-0006": "UNDF-2026-000000379",
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"doctrine-orm": "UNDF-2026-000000380",
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"doris-0001": "UNDF-2026-000000381",
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"dragonfly-0001": "UNDF-2026-000000382",
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"druid-0001": "UNDF-2026-000000383",
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"eclipse-jdt-0001": "UNDF-2026-000000384",
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"elasticsearch-0001": "UNDF-2026-000000385",
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@ -379,7 +357,6 @@
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"graphhopper-0002": "UNDF-2026-000000408",
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"groovy-0001": "UNDF-2026-000000409",
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"groovy-0002": "UNDF-2026-000000410",
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"grpc-0001": "UNDF-2026-000000411",
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"haproxy-0002": "UNDF-2026-000000413",
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"haproxy-0003": "UNDF-2026-000000414",
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"hazelcast-0001": "UNDF-2026-000000415",
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@ -503,7 +480,6 @@
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"tcl-0001": "UNDF-2026-000000549",
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"tensorflow-0001": "UNDF-2026-000000551",
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"threejs-0006": "UNDF-2026-000000552",
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"thrift-0001": "UNDF-2026-000000553",
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"tokio-0001": "UNDF-2026-000000555",
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"tomcat-0002": "UNDF-2026-000000556",
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"traefik-0001": "UNDF-2026-000000557",
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@ -589,5 +565,13 @@
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"eclipse-jdt-0002": "UNDF-2026-000000598",
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"graal-0001": "UNDF-2026-000000599",
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"graal-0002": "UNDF-2026-000000600",
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"hazelcast-0003": "UNDF-2026-000000601"
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"hazelcast-0003": "UNDF-2026-000000601",
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"bullet3-0001": "UNDF-2026-000000001",
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"doctrine-orm-0001": "UNDF-2026-000000002",
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"kylin-0002": "UNDF-2026-000000014",
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"mastodon-0001": "UNDF-2026-000000015",
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"mastodon-0002": "UNDF-2026-000000016",
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"pulsar-0006": "UNDF-2026-000000026",
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"sea-orm-0001": "UNDF-2026-000000054",
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"solang-0001": "UNDF-2026-000000055"
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}
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25
defects/beam/patch/CLEAN.md
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25
defects/beam/patch/CLEAN.md
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# CLEAN — Apache Beam
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Scanned 2026-03-29 for CWE-407.
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## Scope
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- `sdks/java/core/src/main/java` — PCollection DAG, PTransform graph, GreedyStageFuser
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- `runners/core-java/src/main/java` — InMemoryStateInternals, SimplePushbackSideInputDoFnRunner, WatermarkHold
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- `runners/google-cloud-dataflow-java/src/main/java` — DataflowRunner, DataflowPipelineTranslator
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- `runners/google-cloud-dataflow-java/worker/src/main/java` — WindmillOrderedList
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- `runners/jet/src/main/java` — DAGBuilder
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## Findings
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| Location | Pattern | Type | Result |
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|----------|---------|------|--------|
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| `GreedyStageFuser` | `fusedCollections.contains` / `materializedPCollections.contains` | `LinkedHashSet` | CLEAN |
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| `DAGBuilder.sideInputCollections` | `contains` per edge | `HashSet<String>` | CLEAN |
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| `WindmillOrderedList.pendingDeletes` | `contains` in stream filter | `TreeRangeSet` (O(log N)) | CLEAN |
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| `DataflowRunner.experiments` | `experiments.contains(...)` | `List<String>` — called at job-submission time (once), not in hot loop | LOW — startup only |
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| `InMemoryStateInternals.contents` | `contains` | `Set` interface (HashSet impl) | CLEAN |
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| `SideInputHandler.readyWindows` | `contains` | `CopyOnWriteArraySet` | CLEAN |
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The `DataflowRunner.experiments` pattern makes several `List<String>.contains` calls during job submission — a one-time initialization path, not a per-record or per-traversal hot path. Not actionable as CWE-407.
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**Result: No actionable CWE-407 defects.**
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17
defects/grpc/patch/CLEAN.md
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17
defects/grpc/patch/CLEAN.md
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# CLEAN — gRPC (multi-language)
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Scanned 2026-03-29 for CWE-407.
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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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## Findings
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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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# UNDF: UNDF-2026-000000447
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# UNDF: (pending)
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# kylin-0001: NDataflowManager.updateDataflowDetailsLayouts — O(L²) ArrayList.contains in layout update loop
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## CWE-407 — Algorithmic Complexity
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| Field | Value |
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|-------|-------|
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| ID | kylin-0001 |
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| Severity | MEDIUM |
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| Ecosystem | Apache Kylin |
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| Package | `org.apache.kylin.metadata.cube.model` |
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| File | `src/core-metadata/src/main/java/org/apache/kylin/metadata/cube/model/NDataflowManager.java` |
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| Lines | 655–672 |
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| Complexity | O(L²) — two nested list scans per segment layout update |
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| Hot path | Called during index build / segment compaction for every segment when layouts are added or removed |
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## Defect
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```java
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// DEFECT: toRemoveLayouts is List<Long> (ArrayList) passed by caller
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// removeIf iterates all layouts, calling toRemoveLayouts.contains per element — O(S×R)
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layouts.removeIf(layout -> toRemoveLayouts.contains(layout.getLayoutId()));
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// DEFECT: existLayouts is ArrayList<Long> from Collectors.toList()
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// for loop calls existLayouts.contains per candidate — O(T×L)
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List<Long> existLayouts = layouts.stream()
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.map(NDataLayout::getLayoutId)
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.collect(Collectors.toList());
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for (Long layoutId : toAddLayouts) {
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if (!existLayouts.contains(layoutId)) { // O(L) per iteration
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layouts.add(NDataLayout.newDataLayout(copyForWrite, layoutId));
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}
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}
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```
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Where S = current layout count, R = toRemoveLayouts.size(), T = toAddLayouts.size(), L = post-remove layout count.
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In practice S, R, T, L all grow together with the number of indexes defined on a model — 100–1000 layouts per segment is common in Kylin deployments.
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## Fix
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```java
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// AFTER: convert both lists to HashSet before the critical sections
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Set<Long> toRemoveSet = new HashSet<>(toRemoveLayouts);
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layouts.removeIf(layout -> toRemoveSet.contains(layout.getLayoutId())); // O(1) per check
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Set<Long> existLayoutSet = layouts.stream()
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.map(NDataLayout::getLayoutId)
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.collect(Collectors.toCollection(HashSet::new));
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for (Long layoutId : toAddLayouts) {
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if (!existLayoutSet.contains(layoutId)) { // O(1) per check
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layouts.add(NDataLayout.newDataLayout(copyForWrite, layoutId));
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}
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}
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```
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## Speedup
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| L (layouts per segment) | Before (ops) | After (ops) | Speedup |
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|--------------------------|--------------|-------------|---------|
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| 10 | 100 | 10 | 10× |
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| 100 | 10,000 | 100 | 100× |
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| 500 | 250,000 | 500 | 500× |
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| 1,000 | 1,000,000 | 1,000 | 1,000× |
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## Call chain
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`ModelService.updateIndexes` → `NDataflowManager.updateDataflowDetailsLayouts` (per-segment, batched in a loop over all segments of the dataflow)
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Each segment independently executes both list scans, so for a dataflow with M segments the total work is O(M × L²) before the fix, O(M × L) after.
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# UNDF: UNDF-2026-000000014
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# UNDF: (pending)
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# kylin-0002: AclPermissionUtil.transformAuthorities — O(A²) ArrayList dedup loop
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## CWE-407 — Algorithmic Complexity
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| Field | Value |
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|-------|-------|
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| ID | kylin-0002 |
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| Severity | MEDIUM |
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| Ecosystem | Apache Kylin |
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| Package | `org.apache.kylin.rest.util` |
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| File | `src/core-metadata/src/main/java/org/apache/kylin/rest/util/AclPermissionUtil.java` |
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| Lines | 65–73 |
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| Complexity | O(A²) — ArrayList.contains called in O(A) loop to deduplicate authorities |
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| Hot path | Called on every API request that resolves ACL permissions; invoked from multiple REST controllers |
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## Defect
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```java
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// DEFECT: ret is an ArrayList<String>; ret.contains() is O(A) per call
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// Called inside an O(A) loop → O(A²) total
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public static List<String> transformAuthorities(
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Collection<? extends GrantedAuthority> authorities) {
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List<String> ret = Lists.newArrayList();
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for (GrantedAuthority auth : authorities) {
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if (!ret.contains(auth.getAuthority())) { // O(A) linear scan
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ret.add(auth.getAuthority());
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}
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}
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return ret;
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}
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```
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`A` = number of granted authorities for the authenticated user. In enterprise deployments with role-group hierarchies, a user can accumulate dozens to hundreds of authorities after group-role expansion.
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## Fix
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```java
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// AFTER: use LinkedHashSet to dedup in O(1) per insert while preserving insertion order
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public static List<String> transformAuthorities(
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Collection<? extends GrantedAuthority> authorities) {
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Set<String> seen = new LinkedHashSet<>();
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for (GrantedAuthority auth : authorities) {
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seen.add(auth.getAuthority());
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}
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return new ArrayList<>(seen);
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}
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```
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## Speedup
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| A (authorities per user) | Before (ops) | After (ops) | Speedup |
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|--------------------------|--------------|-------------|---------|
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| 20 | 400 | 20 | 20× |
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| 100 | 10,000 | 100 | 100× |
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| 500 | 250,000 | 500 | 500× |
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## Notes
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This pattern is a textbook dedup-via-list antipattern. The fix preserves the exact return type (`List<String>`) and insertion ordering while eliminating the O(A²) scan cost. `transformAuthorities` is called from `AclPermissionUtil.isGlobalAdmin`, `getCurrentUserGroups`, and several REST filter chains — each serving incoming HTTP requests.
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# UNDF: UNDF-2026-000000026
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# UNDF: (pending)
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# pulsar-0006: PartialRoundRobinMessageRouterImpl.getOrCreatePartialList — O(P²) CopyOnWriteArrayList.contains during partition expansion
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## CWE-407 — Algorithmic Complexity
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| Field | Value |
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|-------|-------|
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| ID | pulsar-0006 |
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| Severity | MEDIUM |
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| Ecosystem | Apache Pulsar |
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| Package | `org.apache.pulsar.client.impl.customroute` |
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| File | `pulsar-client/src/main/java/org/apache/pulsar/client/impl/customroute/PartialRoundRobinMessageRouterImpl.java` |
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| Lines | 72–78 |
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| Complexity | O(P²) — CopyOnWriteArrayList.contains called per element of IntStream.range(0, numPartitions) |
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| Hot path | Triggered every time a Pulsar topic adds partitions while a producer using this router is active (partition expansion event) |
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## Defect
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```java
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// partialList is CopyOnWriteArrayList<Integer>
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private final List<Integer> partialList = new CopyOnWriteArrayList<>();
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private List<Integer> getOrCreatePartialList(TopicMetadata metadata) {
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if (partialList.isEmpty()
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|| partialList.size() < numPartitionsLimit
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&& partialList.size() < metadata.numPartitions()) {
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synchronized (this) {
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// ...
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} else if (partialList.size() < numPartitionsLimit
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&& partialList.size() < metadata.numPartitions()) {
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// DEFECT: stream over all P partition IDs, calling partialList.contains(e)
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// for each — O(P) per call × O(P) elements = O(P²)
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partialList.addAll(IntStream.range(0, metadata.numPartitions()).boxed()
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.filter(e -> !partialList.contains(e)) // O(P) per element
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.collect(Collectors.collectingAndThen(Collectors.toList(), list -> {
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Collections.shuffle(list);
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return list.stream();
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})).limit(numPartitionsLimit - partialList.size())
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.collect(Collectors.toList()));
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}
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}
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}
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return partialList;
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}
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```
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`P` = `metadata.numPartitions()`. Pulsar topics with thousands of partitions are common in high-throughput deployments. CopyOnWriteArrayList.contains is O(N) — there is no hash-based shortcut.
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## Fix
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```java
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// AFTER: snapshot partialList to a HashSet once, then filter in O(1) per element
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} else if (partialList.size() < numPartitionsLimit
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&& partialList.size() < metadata.numPartitions()) {
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Set<Integer> existing = new HashSet<>(partialList); // O(P) one-time build
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partialList.addAll(IntStream.range(0, metadata.numPartitions()).boxed()
|
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.filter(e -> !existing.contains(e)) // O(1) per element
|
||||
.collect(Collectors.collectingAndThen(Collectors.toList(), list -> {
|
||||
Collections.shuffle(list);
|
||||
return list.stream();
|
||||
})).limit(numPartitionsLimit - partialList.size())
|
||||
.collect(Collectors.toList()));
|
||||
}
|
||||
```
|
||||
|
||||
## Speedup
|
||||
|
||||
| P (total partitions) | Before (ops) | After (ops) | Speedup |
|
||||
|----------------------|--------------|-------------|---------|
|
||||
| 100 | 10,000 | 100 | 100× |
|
||||
| 1,000 | 1,000,000 | 1,000 | 1,000× |
|
||||
| 4,000 | 16,000,000 | 4,000 | 4,000× |
|
||||
|
||||
## Notes
|
||||
|
||||
The synchronized block prevents concurrent re-entrancy, but the inner O(P²) work still stalls all threads waiting on the lock during a partition expansion event. In a high-throughput producer this synchronized stall causes a latency spike proportional to P².
|
||||
21
defects/samza/patch/CLEAN.md
Normal file
21
defects/samza/patch/CLEAN.md
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
# CLEAN — Apache Samza
|
||||
Scanned 2026-03-29 for CWE-407.
|
||||
|
||||
## Scope
|
||||
|
||||
- `samza-core/src/main/java` — JobGraph, JobNode, IntermediateStreamManager, StandbyContainerManager, BlobStoreUtil, DirDiffUtil
|
||||
|
||||
## Findings
|
||||
|
||||
| Location | Pattern | Type | Result |
|
||||
|----------|---------|------|--------|
|
||||
| `JobGraph.findReachable` | `visited.contains` in BFS | `HashSet<JobNode>` | CLEAN |
|
||||
| `JobGraph.topologicalSort` | `visited.contains` | `HashSet<JobNode>` | CLEAN |
|
||||
| `JobNode.findReachableOperators` | `reachableOperators.contains` | `Set<OperatorSpec>` | CLEAN |
|
||||
| `IntermediateStreamManager.processedStreamSets` | `contains` in stream filter | `HashSet<StreamSet>` | CLEAN |
|
||||
| `DirDiffUtil.filesToIgnore` | `contains` in stream filter | `Set<String>` parameter | CLEAN |
|
||||
| `StandbyContainerManager.standbySamzaContainerIds` | `contains` | Field type verified as `Set` | CLEAN |
|
||||
|
||||
All graph traversal, BFS, and deduplication patterns use `HashSet` or `Set`-typed collections throughout.
|
||||
|
||||
**Result: No actionable CWE-407 defects.**
|
||||
|
|
@ -1,3 +1,4 @@
|
|||
# UNDF: UNDF-2026-000000055
|
||||
# UNDF: (pending)
|
||||
# solang-0001: add_external_functions emits_events Vec::contains O(F×E²) → O(F×E)
|
||||
|
||||
|
|
|
|||
20
defects/thrift/patch/CLEAN.md
Normal file
20
defects/thrift/patch/CLEAN.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
# CLEAN — Apache Thrift
|
||||
Scanned 2026-03-29 for CWE-407.
|
||||
|
||||
## 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)
|
||||
|
||||
## 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 |
|
||||
|
||||
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.**
|
||||
27
defects/tinkerpop/patch/CLEAN.md
Normal file
27
defects/tinkerpop/patch/CLEAN.md
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
# CLEAN — Apache TinkerPop
|
||||
Scanned 2026-03-29 for CWE-407.
|
||||
|
||||
## Scope
|
||||
|
||||
- `gremlin-core/src/main/java` — MatchStep, DisjunctStep, TraversalHelper, PartitionStrategy, FilterRankingStrategy, PathRetractionStrategy
|
||||
- Graph traversal execution engine
|
||||
|
||||
## Findings
|
||||
|
||||
| Location | Pattern | Type | Result |
|
||||
|----------|---------|------|--------|
|
||||
| `MatchStep.dedups` | `dedups.contains` per traverser | `HashSet<List<Object>>` | CLEAN |
|
||||
| `MatchStep.traverser.getTags()` | `getTags().contains` per step | `Set<String>` in AbstractTraverser | CLEAN |
|
||||
| `DisjunctStep.setA / setB` | `setB.contains` / `setA.contains` in loops | Both are `Set<?>` (HashSet impl) | CLEAN |
|
||||
| `PartitionStrategy.readPartitions` | `readPartitions.contains` per element check | `Set<String>` (unmodifiableSet of HashSet) | CLEAN |
|
||||
| `CoreImports.unique` (uniqueMethods) | `unique.contains` | `LinkedHashSet<String>` | CLEAN |
|
||||
| `MatchStep.Helper.computeStartLabel.sort` | `sort.contains` in plan ordering | `ArrayList<String>` — but called once at plan-construction time over label names (N < 20), not per record | LOW — not hot path |
|
||||
| `TraversalHelper.getSteps().contains` | step membership check | Called once at plan-optimization time | LOW |
|
||||
|
||||
All per-record hot-path traversal uses hash-based set types. The `sort` ArrayList in `computeStartLabel` accumulates label strings during query planning (once per query), not during record iteration. With N labels typically in the single digits this is not actionable.
|
||||
|
||||
**Result: No actionable CWE-407 defects.**
|
||||
|
||||
## Note
|
||||
|
||||
Previous scan (project_graphdb_scan.md) also confirmed TinkerPop CLEAN. This scan independently verified the same conclusion with broader coverage of strategy and step classes.
|
||||
Loading…
Add table
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Reference in a new issue