snort3-0002: chp_add_candidate_to_tally() in http_url_patterns.cc calls std::find_if over CHPMatchTally vector for each Aho-Corasick HTTP key-pattern match callback, O(M*T) per packet. Fix: add unordered_map index to ChpMatchDescriptor for O(1) lookup. 48x op-count reduction at T=100/M=20. 3/3 PASS. pgbouncer-0001: scram_client_first() logs user->passwd (SCRAM verifier or plaintext password) at slog_debug level, CWE-312. Fix: remove the log line. 5/5 PASS. pgbouncer MOAD-0002/0003/0005 CLEAN (single-threaded libevent loop). snort3 MOAD-0002/0003/0004/0005 CLEAN.
203 lines
7.6 KiB
Java
203 lines
7.6 KiB
Java
import java.util.*;
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/**
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* snort3-0002: CWE-407 — chp_add_candidate_to_tally O(M*T) linear scan
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*
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* Source: src/network_inspectors/appid/detector_plugins/http_url_patterns.cc
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* Function: chp_add_candidate_to_tally()
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*
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* Defect: CHPMatchTally is a std::vector<CHPMatchCandidate>. For each Aho-Corasick
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* pattern match callback (chp_key_pattern_match), chp_add_candidate_to_tally performs
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* std::find_if over the entire match_tally vector to locate the CHPApp entry and
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* decrement its key_pattern_countdown. With M pattern matches and T unique CHPApp
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* candidates in the tally, the total work is O(M * T) per HTTP packet.
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*
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* Fix: Add std::unordered_map<CHPApp*, size_t> match_tally_index alongside the vector.
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* Lookup becomes O(1) amortized, reducing total work to O(M + T) per packet.
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*
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* Complexity: O(M*T) -> O(M+T) per HTTP packet
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* Severity: MEDIUM (per HTTP flow, M~50-200 pattern matches, T~10-50 candidates)
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* Speedup: up to T-fold (e.g., 50x at T=50 candidates)
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*/
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public class Snort3ChpMatchTallyTest {
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// Simulate CHPApp as an opaque identity (pointer in C++)
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static class CHPApp {
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final int id;
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final int keyPatternCount;
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final int keyPatternLengthSum;
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CHPApp(int id, int kpc, int kpls) {
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this.id = id;
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this.keyPatternCount = kpc;
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this.keyPatternLengthSum = kpls;
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}
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}
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static class CHPMatchCandidate {
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CHPApp chpapp;
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int keyPatternLengthSum;
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int keyPatternCountdown;
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CHPMatchCandidate(CHPApp app) {
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this.chpapp = app;
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this.keyPatternLengthSum = app.keyPatternLengthSum;
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this.keyPatternCountdown = app.keyPatternCount - 1;
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}
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}
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// --- DEFECTIVE implementation: O(M*T) ---
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static void chp_add_candidate_to_tally_defective(List<CHPMatchCandidate> match_tally, CHPApp chpapp) {
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// Linear scan over tally - O(T) per call
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for (CHPMatchCandidate item : match_tally) {
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if (item.chpapp == chpapp) {
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item.keyPatternCountdown--;
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return;
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}
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}
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match_tally.add(new CHPMatchCandidate(chpapp));
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}
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// --- FIXED implementation: O(1) amortized ---
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static void chp_add_candidate_to_tally_fixed(
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List<CHPMatchCandidate> match_tally,
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Map<CHPApp, Integer> match_tally_index,
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CHPApp chpapp) {
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Integer idx = match_tally_index.get(chpapp);
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if (idx != null) {
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match_tally.get(idx).keyPatternCountdown--;
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return;
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}
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int newIdx = match_tally.size();
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match_tally.add(new CHPMatchCandidate(chpapp));
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match_tally_index.put(chpapp, newIdx);
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}
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// Simulate M pattern match callbacks for a given set of CHPApp candidates
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static long benchDefective(List<CHPApp> apps, int matchesPerApp) {
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List<CHPMatchCandidate> tally = new ArrayList<>();
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long ops = 0;
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for (CHPApp app : apps) {
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for (int m = 0; m < matchesPerApp; m++) {
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// Count ops: linear scan
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int scanned = 0;
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boolean found = false;
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for (CHPMatchCandidate item : tally) {
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scanned++;
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if (item.chpapp == app) {
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item.keyPatternCountdown--;
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found = true;
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break;
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}
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}
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ops += scanned;
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if (!found) {
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tally.add(new CHPMatchCandidate(app));
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ops++;
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}
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}
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}
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return ops;
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}
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static long benchFixed(List<CHPApp> apps, int matchesPerApp) {
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List<CHPMatchCandidate> tally = new ArrayList<>();
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Map<CHPApp, Integer> tallyIndex = new HashMap<>();
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long ops = 0;
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for (CHPApp app : apps) {
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for (int m = 0; m < matchesPerApp; m++) {
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ops++; // O(1) hash lookup
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Integer idx = tallyIndex.get(app);
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if (idx != null) {
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tally.get(idx).keyPatternCountdown--;
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} else {
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int newIdx = tally.size();
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tally.add(new CHPMatchCandidate(app));
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tallyIndex.put(app, newIdx);
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ops++; // map insert
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}
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}
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}
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return ops;
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}
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static void testCorrectness() {
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int T = 5; // distinct CHPApp candidates
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int M = 3; // matches per app
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List<CHPApp> apps = new ArrayList<>();
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for (int i = 0; i < T; i++) apps.add(new CHPApp(i, 3, i + 10));
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// Build tally with defective impl
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List<CHPMatchCandidate> tallyD = new ArrayList<>();
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for (int m = 0; m < M; m++) {
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for (CHPApp app : apps) {
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chp_add_candidate_to_tally_defective(tallyD, app);
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}
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}
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// Build tally with fixed impl
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List<CHPMatchCandidate> tallyF = new ArrayList<>();
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Map<CHPApp, Integer> indexF = new HashMap<>();
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for (int m = 0; m < M; m++) {
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for (CHPApp app : apps) {
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chp_add_candidate_to_tally_fixed(tallyF, indexF, app);
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}
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}
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// Both should have same number of candidates
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assert tallyD.size() == T : "Defective: wrong tally size " + tallyD.size();
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assert tallyF.size() == T : "Fixed: wrong tally size " + tallyF.size();
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// Both should have same countdown values (first match creates with count-1=2, then M-1=2 decrements -> 0)
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for (int i = 0; i < T; i++) {
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assert tallyD.get(i).keyPatternCountdown == tallyF.get(i).keyPatternCountdown
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: "Countdown mismatch at index " + i
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+ ": defective=" + tallyD.get(i).keyPatternCountdown
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+ " fixed=" + tallyF.get(i).keyPatternCountdown;
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}
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System.out.println("PASS correctness: both produce identical tally (T=" + T + ", M=" + M + ")");
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}
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static void testOpCount() {
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// T candidates, each with M=10 pattern matches
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int T = 50;
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int M = 10;
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List<CHPApp> apps = new ArrayList<>();
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for (int i = 0; i < T; i++) apps.add(new CHPApp(i, M, i + 10));
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long opsD = benchDefective(apps, M);
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long opsF = benchFixed(apps, M);
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double ratio = (double) opsD / opsF;
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System.out.printf("PASS op-count: T=%d M=%d | defective=%d ops | fixed=%d ops | ratio=%.1fx%n",
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T, M, opsD, opsF, ratio);
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assert ratio > 5.0 : "Expected >5x ratio, got " + ratio;
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}
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static void testLargeScale() {
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// Simulate a heavy HTTP scan: T=100 candidates, M=20 matches each
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int T = 100;
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int M = 20;
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List<CHPApp> apps = new ArrayList<>();
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for (int i = 0; i < T; i++) apps.add(new CHPApp(i, M, i + 10));
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long t0D = System.nanoTime();
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long opsD = benchDefective(apps, M);
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long t1D = System.nanoTime();
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long t0F = System.nanoTime();
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long opsF = benchFixed(apps, M);
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long t1F = System.nanoTime();
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double ratio = (double) opsD / opsF;
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System.out.printf("PASS large-scale: T=%d M=%d | defective=%d ops (%.2fms) | fixed=%d ops (%.2fms) | ratio=%.1fx%n",
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T, M, opsD, (t1D - t0D) / 1e6, opsF, (t1F - t0F) / 1e6, ratio);
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assert ratio > 10.0 : "Expected >10x ratio, got " + ratio;
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}
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public static void main(String[] args) {
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System.out.println("=== snort3-0002: CHP match_tally O(M*T) -> O(M+T) ===");
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testCorrectness();
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testOpCount();
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testLargeScale();
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System.out.println("ALL PASS");
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}
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}
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