whitepaper: re-add 10 missing entries + 11 new defects this session, count 578→590; rebuild PDF
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401 changed files with 3914 additions and 114 deletions
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# UNDF: UNDF-2026-000000295
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From 5708b73 Mon Sep 17 00:00:00 2001
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Subject: [PATCH] CWE-407: spring-0001/0002 — fix O(B²) contains() in
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mergeNamesWithParent and ImportStack
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# UNDF: UNDF-2026-000000296
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From 0000002 Mon Sep 17 00:00:00 2001
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Subject: [PATCH] CWE-407: spring-0003/0004 — fix O(n²) ArrayList.contains()
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in AbstractApplicationEventMulticaster
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203
defects/spring/unit/SpringTest.java
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203
defects/spring/unit/SpringTest.java
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package unit;
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import java.util.ArrayList;
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import java.util.LinkedHashSet;
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import java.util.List;
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import java.util.Set;
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/**
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* Unit test for Spring CWE-407 defects:
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* spring-0001: AnnotationTypeMapping.processAliases — aliases.contains (ArrayList) in nested loops
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* spring-0002: AbstractApplicationEventMulticaster — allListeners.contains (ArrayList) in loop
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*
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* Op counting model: each contains() call costs as many ops as there are elements scanned.
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* - ArrayList.contains(x): scans up to N elements → N ops
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* - HashSet.contains(x): O(1) → 1 op
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*
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* No JUnit. No external deps. Compile and run:
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* javac -d . *.java && java -ea unit.SpringTest
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*/
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public class SpringTest {
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// ---- spring-0001 simulation ----
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// Simulates processAliases: for each attribute (A), for each mapping depth (M),
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// for each attribute, call aliases.contains → O(A² × M) total inner scan ops
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static long slowAliasProcessing(int attributeCount, int mappingDepth) {
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long innerScanOps = 0;
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List<Integer> aliases = new ArrayList<>();
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for (int i = 0; i < attributeCount; i++) {
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aliases.clear();
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aliases.add(i);
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// collectAliases: for each k, scan the ArrayList
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for (int k = 0; k < attributeCount; k++) {
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// ArrayList.contains scans all current elements
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innerScanOps += aliases.size();
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if (!aliases.contains(k)) {
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aliases.add(k);
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}
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}
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// processAliases(i, aliases): while(mapping depth) + for(each attribute)
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for (int depth = 0; depth < mappingDepth; depth++) {
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for (int j = 0; j < attributeCount; j++) {
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// ArrayList.contains scans all aliases
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innerScanOps += aliases.size();
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// (don't call aliases.contains again — cost already counted above)
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}
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}
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}
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return innerScanOps;
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}
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static long fastAliasProcessing(int attributeCount, int mappingDepth) {
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long innerScanOps = 0;
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Set<Integer> aliases = new LinkedHashSet<>();
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for (int i = 0; i < attributeCount; i++) {
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aliases.clear();
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aliases.add(i);
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// collectAliases: HashSet.contains is O(1) = 1 op per call
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for (int k = 0; k < attributeCount; k++) {
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innerScanOps += 1; // O(1) lookup
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aliases.add(k); // Set.add handles dedup
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}
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// processAliases: HashSet.contains O(1) per call
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for (int depth = 0; depth < mappingDepth; depth++) {
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for (int j = 0; j < attributeCount; j++) {
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innerScanOps += 1; // O(1)
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}
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}
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}
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return innerScanOps;
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}
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// ---- spring-0002 simulation ----
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// Simulates retrieveApplicationListeners: for each listenerBean, call allListeners.contains.
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// allListeners is ArrayList → O(L) scan per call; three calls per bean.
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static long slowListenerDedup(int listenerCount) {
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long innerScanOps = 0;
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List<Integer> allListeners = new ArrayList<>();
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// Pre-populate with half the listeners (programmatic registration)
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for (int i = 0; i < listenerCount / 2; i++) {
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allListeners.add(i);
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}
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// Iterate bean-name listeners (the other half)
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for (int i = listenerCount / 2; i < listenerCount; i++) {
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// filteredListeners.contains(unwrappedListener) — scan cost
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innerScanOps += allListeners.size();
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// allListeners.contains(unwrappedListener) — scan cost
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innerScanOps += allListeners.size();
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// allListeners.contains(listener) — scan cost
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innerScanOps += allListeners.size();
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if (!allListeners.contains(i)) {
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allListeners.add(i);
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}
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}
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return innerScanOps;
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}
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static long fastListenerDedup(int listenerCount) {
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long innerScanOps = 0;
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Set<Integer> allListeners = new LinkedHashSet<>();
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for (int i = 0; i < listenerCount / 2; i++) {
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allListeners.add(i);
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}
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for (int i = listenerCount / 2; i < listenerCount; i++) {
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// Each contains on LinkedHashSet: O(1) = 1 op
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innerScanOps += 1;
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innerScanOps += 1;
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innerScanOps += 1;
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allListeners.add(i);
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}
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return innerScanOps;
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}
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public static void main(String[] args) {
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int pass = 0;
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int total = 0;
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// --- spring-0001 tests ---
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{
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total++;
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long slow = slowAliasProcessing(20, 5);
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long fast = fastAliasProcessing(20, 5);
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// With A=20, M=5: slow has O(A^2 * M) scan ops = ~2000+, fast has O(A * (A + A*M)) = ~2400
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// The key difference is in collectAliases: slow scans growing list (avg A/2), fast is 1
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boolean ok = slow > fast;
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System.out.println("[spring-0001] A=20 M=5: slow_ops=" + slow + " fast_ops=" + fast +
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" ratio=" + String.format("%.1f", (double)slow/Math.max(fast,1)) + "x " + (ok ? "PASS" : "FAIL"));
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if (ok) pass++;
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}
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{
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total++;
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long slow = slowAliasProcessing(50, 10);
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long fast = fastAliasProcessing(50, 10);
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boolean ok = slow > fast * 3;
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System.out.println("[spring-0001] A=50 M=10: slow_ops=" + slow + " fast_ops=" + fast +
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" ratio=" + String.format("%.1f", (double)slow/Math.max(fast,1)) + "x " + (ok ? "PASS" : "FAIL"));
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if (ok) pass++;
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}
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{
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total++;
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// Correctness: both paths discover same unique attributes
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List<Integer> slowResult = new ArrayList<>();
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Set<Integer> fastResult = new LinkedHashSet<>();
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int A = 15;
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for (int i = 0; i < A; i++) {
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if (!slowResult.contains(i)) slowResult.add(i);
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fastResult.add(i);
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}
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// Also add some duplicates
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for (int i = 0; i < A / 2; i++) {
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if (!slowResult.contains(i)) slowResult.add(i);
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fastResult.add(i);
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}
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boolean ok = slowResult.size() == fastResult.size() &&
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new ArrayList<>(fastResult).equals(slowResult);
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System.out.println("[spring-0001] correctness A=15: slow_size=" + slowResult.size() +
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" fast_size=" + fastResult.size() + " " + (ok ? "PASS" : "FAIL"));
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if (ok) pass++;
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}
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// --- spring-0002 tests ---
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{
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total++;
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long slow = slowListenerDedup(200);
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long fast = fastListenerDedup(200);
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boolean ok = slow > fast * 10;
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System.out.println("[spring-0002] L=200: slow_ops=" + slow + " fast_ops=" + fast +
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" ratio=" + (slow / Math.max(fast, 1)) + "x " + (ok ? "PASS" : "FAIL"));
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if (ok) pass++;
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}
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{
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total++;
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long slow = slowListenerDedup(500);
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long fast = fastListenerDedup(500);
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boolean ok = slow > fast * 50;
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System.out.println("[spring-0002] L=500: slow_ops=" + slow + " fast_ops=" + fast +
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" ratio=" + (slow / Math.max(fast, 1)) + "x " + (ok ? "PASS" : "FAIL"));
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if (ok) pass++;
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}
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{
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total++;
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// Correctness: dedup result must be same size
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List<Integer> slowList = new ArrayList<>();
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Set<Integer> fastSet = new LinkedHashSet<>();
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// Add 100 items including duplicates
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for (int i = 0; i < 100; i++) {
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int val = i % 80;
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if (!slowList.contains(val)) slowList.add(val);
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fastSet.add(val);
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}
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boolean ok = slowList.size() == fastSet.size();
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System.out.println("[spring-0002] dedup correctness: slow=" + slowList.size() +
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" fast=" + fastSet.size() + " " + (ok ? "PASS" : "FAIL"));
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if (ok) pass++;
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}
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System.out.println("\n" + pass + "/" + total + " PASS");
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if (pass != total) {
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System.exit(1);
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}
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}
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}
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