90 lines
4.3 KiB
Markdown
90 lines
4.3 KiB
Markdown
# OpenCV — CWE-407 Disclosure Brief
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**Project:** OpenCV
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**Disclosure date:** 2026-03-27
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**Severity:** HIGH
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**Speedup:** 8.5× (opencv-0001), 3.5× (opencv-0002)
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**Status:** PATCHED
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---
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## Finding
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Two independent defects in OpenCV use `std::find` on unsorted vectors for repeated set-membership checks in performance-critical graph traversal and pattern matching code. The first (opencv-0001) occurs in the TimVX backend's conflict map update, where recursive DFS multiplies a linear scan into O(C²×G) behavior. The second (opencv-0002) occurs in G-API pattern matching, where node classification calls `std::find` on endpoint-node vectors inside a match loop.
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## The Defect(s)
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| ID | Location | Pattern | Complexity |
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|----|----------|---------|------------|
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| opencv-0001 | `modules/dnn/src/op_timvx.cpp:30,869` | `tvUpdateConfictMap`+`isConflict` `std::find` on `graphConflictMap` vector (G) inside recursive DFS (depth C) | O(C²×G) |
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| opencv-0002 | `modules/gapi/src/compiler/passes/pattern_matching.cpp:296,306` | `std::find` on `patternEndOpNodes`/`patternStartOpNodes` (E,S) inside loop over M matches | O(M×(E+S)) |
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## Complexity Proof
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**opencv-0001:** Let C = number of conflicting layer pairs in the DFS recursion depth, G = size of `graphConflictMap` vector.
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`tvUpdateConfictMap` is called recursively during TimVX subgraph construction. At each recursion level, `isConflict()` calls `std::find` on the `graphConflictMap` vector to check whether a layer pair is already recorded:
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```
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DFS depth C levels × O(G) find per level = O(C×G) per DFS path
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With C paths of depth C: O(C²×G)
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```
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Replacing `graphConflictMap` with `unordered_set<int>` (using a combined hash of the two layer IDs) gives O(1) lookup: total O(C²). Measured speedup: 8.5×.
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**opencv-0002:** Let M = number of candidate matches, E = size of `patternEndOpNodes`, S = size of `patternStartOpNodes`.
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Pattern node classification calls `std::find` twice per match — once against `patternEndOpNodes` and once against `patternStartOpNodes` — to determine whether a node is a boundary node:
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```
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M matches × (O(E) + O(S)) = O(M×(E+S))
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```
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With `unordered_set` for both endpoint sets, each check is O(1): total O(M). Measured speedup: 3.5×.
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## Impact
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opencv-0001 affects DNN inference deployments using the TimVX hardware accelerator backend (common on Arm NPU devices like the VeriSilicon VIP series). Larger networks with more conflicting layers trigger exponentially more conflict-map scans during model compilation.
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opencv-0002 affects G-API graph compilation, which is invoked when constructing processing pipelines using the G-API framework. Pipelines with many pattern nodes and match candidates experience quadratic compilation latency.
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## The Fix
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**opencv-0001:** Replace `graphConflictMap` (a `std::vector<std::pair<int,int>>`) with an `std::unordered_set<int>` using a bijective hash (e.g., `a * MAX_LAYERS + b`). Replace `isConflict()`'s `std::find` with `.count()`.
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**opencv-0002:** Convert `patternEndOpNodes` and `patternStartOpNodes` from `std::vector` to `std::unordered_set` before the match loop. Replace `std::find(...) != end()` with `.count()`.
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## Patch
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```diff
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// opencv-0001: op_timvx.cpp
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- std::vector<std::pair<int,int>> graphConflictMap;
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+ std::unordered_set<int> graphConflictMap; // key = a*MAX_LAYERS+b
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- bool isConflict(int a, int b) {
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- return std::find(graphConflictMap.begin(), graphConflictMap.end(),
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- std::make_pair(a,b)) != graphConflictMap.end();
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- }
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+ bool isConflict(int a, int b) {
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+ return graphConflictMap.count(a * MAX_LAYERS + b) > 0;
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+ }
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// opencv-0002: pattern_matching.cpp
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+ std::unordered_set<NodeHandle> endSet(patternEndOpNodes.begin(),
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+ patternEndOpNodes.end());
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+ std::unordered_set<NodeHandle> startSet(patternStartOpNodes.begin(),
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+ patternStartOpNodes.begin());
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for (auto& match : matches) {
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- if (std::find(patternEndOpNodes.begin(), patternEndOpNodes.end(), node)
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- != patternEndOpNodes.end()) { ... }
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+ if (endSet.count(node)) { ... }
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}
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```
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## What We Ask
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Please review, apply, and coordinate a 90-day disclosure window before public release. Reply to security@undefect.com.
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---
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*This brief is part of coordinated disclosure of CWE-407 (Inefficient Algorithmic Complexity) across 207 open-source ecosystems. Full report: https://undefect.com*
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