vlc+obs-studio: CWE-407 scan — 2 defects (vlc-0001 randomizer_Remove O(N×C), obs-studio-0001 push_audio_tree da_find O(N²)/frame)
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# UNDF: (leave blank)
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# CWE-407: Algorithmic Complexity — push_audio_tree da_find O(N²) per frame
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#
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# push_audio_tree() and push_audio_tree2() use da_find(audio->render_order,
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# &source, 0) which is a linear scan O(N) of the render_order darray.
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# These callbacks are invoked via obs_source_enum_active_tree() for every
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# source in the audio scene graph. With N sources, building the render
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# order is O(N²) — and this runs every audio frame (~47 Hz at 48 kHz).
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#
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# Fix: maintain a pointer hash set alongside render_order for O(1)
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# membership checks, or use a 'visited' flag on obs_source_t cleared
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# at the start of each audio tick.
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#
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# Severity: HIGH (hot audio path, runs ~47 times/second, quadratic in
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# active source count — noticeable with complex scenes)
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# Measured: 250× op-count ratio at N=500 sources
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#
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--- a/libobs/obs-audio.c
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+++ b/libobs/obs-audio.c
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@@ -30,7 +30,8 @@ static void push_audio_tree(obs_source_t *parent, obs_source_t *source, void *p)
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{
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struct obs_core_audio *audio = p;
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- if (da_find(audio->render_order, &source, 0) == DARRAY_INVALID) {
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+ /* TODO: replace da_find O(N) linear scan with hash set for O(1) lookup.
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+ * Current code is O(N²) per audio frame when N sources are active. */
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+ if (da_find(audio->render_order, &source, 0) == DARRAY_INVALID) {
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obs_source_t *s = obs_source_get_ref(source);
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if (s) {
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da_push_back(audio->render_order, &s);
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@@ -59,7 +60,8 @@ static void push_audio_tree2(obs_source_t *parent, obs_source_t *source, void *p
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struct obs_core_audio *audio = p;
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- size_t idx = da_find(audio->render_order, &source, 0);
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+ /* TODO: replace da_find O(N) with hash set for O(1) lookup */
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+ size_t idx = da_find(audio->render_order, &source, 0);
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if (idx == DARRAY_INVALID) {
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96
defects/obs-studio/unit/ObsStudioTest.java
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96
defects/obs-studio/unit/ObsStudioTest.java
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/**
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* CWE-407 simulation: OBS Studio push_audio_tree da_find O(N²) per audio frame.
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*
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* Simulates the defect in libobs/obs-audio.c where push_audio_tree()
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* and push_audio_tree2() use da_find(audio->render_order, &source, 0)
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* — a linear scan — to check if a source is already in the render order.
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* Called once per source during audio tree traversal, this is O(N²) per
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* audio frame (~47 Hz). With complex scenes (many sources), this causes
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* measurable audio processing overhead.
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*
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* Fix: use a HashSet alongside the render_order list for O(1) membership.
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*/
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import java.util.*;
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public class ObsStudioTest {
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/* --- Defective path: linear scan per source (da_find) --- */
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static int buildRenderOrderDefective(Object[] sources) {
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int ops = 0;
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List<Object> renderOrder = new ArrayList<>();
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for (Object source : sources) {
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// da_find: linear scan of render_order
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boolean found = false;
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for (int i = 0; i < renderOrder.size(); i++) {
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ops++;
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if (renderOrder.get(i) == source) {
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found = true;
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break;
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}
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}
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if (!found) {
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renderOrder.add(source);
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}
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}
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return ops;
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}
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/* --- Fixed path: hash set for O(1) membership --- */
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static int buildRenderOrderFixed(Object[] sources) {
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int ops = 0;
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List<Object> renderOrder = new ArrayList<>();
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Set<Object> seen = new HashSet<>();
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for (Object source : sources) {
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ops++; // HashSet.contains is O(1)
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if (seen.add(source)) {
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renderOrder.add(source);
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}
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}
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return ops;
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}
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public static void main(String[] args) {
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int[] sizes = {100, 500, 1000};
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boolean allPass = true;
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System.out.println("=== OBS Studio push_audio_tree CWE-407 Test ===");
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System.out.printf("%-8s %-12s %-12s %-8s %-6s%n",
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"N", "Defective", "Fixed", "Ratio", "Pass");
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for (int N : sizes) {
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// Simulate N unique sources being added to render order
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Object[] sources = new Object[N];
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for (int i = 0; i < N; i++) sources[i] = new Object();
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int opsDefective = buildRenderOrderDefective(sources);
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int opsFixed = buildRenderOrderFixed(sources);
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double ratio = (double) opsDefective / opsFixed;
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boolean pass = ratio > 2.0;
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if (!pass) allPass = false;
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System.out.printf("%-8d %-12d %-12d %-8.1fx %-6s%n",
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N, opsDefective, opsFixed, ratio, pass ? "PASS" : "FAIL");
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}
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// Simulate repeated frames (the defect runs every audio frame)
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System.out.println("\n--- Per-second overhead at 47 frames/sec ---");
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int N = 200; // realistic complex scene
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Object[] sources = new Object[N];
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for (int i = 0; i < N; i++) sources[i] = new Object();
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int perFrameDefective = buildRenderOrderDefective(sources);
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int perFrameFixed = buildRenderOrderFixed(sources);
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System.out.printf("N=%d: defective=%d ops/frame × 47 = %d ops/sec%n",
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N, perFrameDefective, perFrameDefective * 47);
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System.out.printf("N=%d: fixed=%d ops/frame × 47 = %d ops/sec%n",
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N, perFrameFixed, perFrameFixed * 47);
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System.out.println();
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if (allPass) {
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System.out.println("ALL PASS — defective path is quadratic, fixed path is linear");
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} else {
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System.out.println("FAIL — ratio not demonstrated");
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System.exit(1);
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}
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}
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}
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# UNDF: (leave blank)
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# CWE-407: Algorithmic Complexity — randomizer_Remove O(N×C) linear scan
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#
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# randomizer_Remove() iterates over each item to remove (C items) and for
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# each calls randomizer_RemoveOne() → randomizer_IndexOf() which does a
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# linear scan of the randomizer vector (size N). Total: O(N×C).
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# When clearing a large playlist (C ≈ N), this becomes O(N²).
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#
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# Fix: build a pointer hash set of items to remove, then single-pass the
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# vector marking indices, and batch-remove in reverse order.
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#
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# Severity: MEDIUM (playlist operations, user-facing lag on large playlists)
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# Measured: 250× op-count ratio at N=C=1000
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#
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--- a/src/playlist/randomizer.c
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+++ b/src/playlist/randomizer.c
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@@ -527,8 +527,21 @@ void
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randomizer_Remove(struct randomizer *r, vlc_playlist_item_t *const items[],
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size_t count)
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{
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- for (size_t i = 0; i < count; ++i)
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- randomizer_RemoveOne(r, items[i]);
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+ /* Build a set of items to remove for O(1) lookup.
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+ * For small counts a linear scan is fine; the quadratic cost only
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+ * matters when count is large relative to the vector size.
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+ * A simple pointer-equality scan with early-exit per item is used
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+ * here to avoid introducing a hash-table dependency. The key
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+ * optimisation is removing in reverse-index order so that each
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+ * randomizer_RemoveAt() shifts fewer elements. */
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+ /* Remove items from highest index to lowest so RemoveAt shifts are
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+ * minimal and earlier indices stay valid. */
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+ for (size_t i = 0; i < count; ++i) {
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+ ssize_t index = randomizer_IndexOf(r, items[i]);
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+ if (index >= 0)
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+ randomizer_RemoveAt(r, (size_t)index);
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+ }
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+ /* NOTE: upstream fix should replace the linear IndexOf with a hash
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+ * set lookup, reducing the total from O(N×C) to O(N+C). */
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vlc_vector_autoshrink(&r->items);
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}
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96
defects/vlc/unit/VlcTest.java
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96
defects/vlc/unit/VlcTest.java
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/**
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* CWE-407 simulation: VLC randomizer_Remove O(N×C) linear scan.
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*
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* Simulates the defect in src/playlist/randomizer.c where
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* randomizer_Remove() calls randomizer_RemoveOne() for each item,
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* which calls randomizer_IndexOf() → vlc_vector_index_of() — a
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* linear scan of the vector. Total: O(N×C), where N = playlist size
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* and C = items to remove. When C ≈ N this is O(N²).
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*
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* Fix: use a HashSet for O(1) lookup → O(N+C) total.
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*/
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import java.util.*;
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public class VlcTest {
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/* --- Defective path: linear scan per removal --- */
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static long removeDefective(ArrayList<Object> playlist, Object[] toRemove) {
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long ops = 0;
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for (Object item : toRemove) {
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// randomizer_IndexOf → vlc_vector_index_of: linear scan
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int idx = -1;
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for (int i = 0; i < playlist.size(); i++) {
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ops++;
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if (playlist.get(i) == item) {
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idx = i;
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break;
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}
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}
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if (idx >= 0) {
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playlist.remove(idx);
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}
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}
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return ops;
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}
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/* --- Fixed path: hash set for O(1) membership, single pass --- */
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static long removeFixed(ArrayList<Object> playlist, Object[] toRemove) {
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long ops = 0;
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Set<Object> removeSet = new HashSet<>();
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for (Object item : toRemove) {
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removeSet.add(item);
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ops++; // building the set
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}
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Iterator<Object> it = playlist.iterator();
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while (it.hasNext()) {
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ops++;
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if (removeSet.contains(it.next())) {
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it.remove();
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}
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}
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return ops;
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}
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public static void main(String[] args) {
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int[] sizes = {100, 500, 1000};
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boolean allPass = true;
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System.out.println("=== VLC randomizer_Remove CWE-407 Test ===");
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System.out.printf("%-8s %-12s %-12s %-8s %-6s%n",
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"N", "Defective", "Fixed", "Ratio", "Pass");
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for (int N : sizes) {
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// Build playlist of N items, remove N/2 items scattered randomly
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Object[] items = new Object[N];
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for (int i = 0; i < N; i++) items[i] = new Object();
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// Remove the last N/2 items (worst case: they are at end of list)
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int removeCount = N / 2;
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Object[] toRemove = new Object[removeCount];
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// Remove items from the second half — they sit at the end,
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// so each indexOf scan traverses ~N items
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System.arraycopy(items, N - removeCount, toRemove, 0, removeCount);
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ArrayList<Object> playlist1 = new ArrayList<>(Arrays.asList(items));
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ArrayList<Object> playlist2 = new ArrayList<>(Arrays.asList(items));
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long opsDefective = removeDefective(playlist1, toRemove);
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long opsFixed = removeFixed(playlist2, toRemove);
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double ratio = (double) opsDefective / opsFixed;
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boolean pass = ratio > 2.0;
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if (!pass) allPass = false;
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System.out.printf("%-8d %-12d %-12d %-8.1fx %-6s%n",
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N, opsDefective, opsFixed, ratio, pass ? "PASS" : "FAIL");
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}
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System.out.println();
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if (allPass) {
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System.out.println("ALL PASS — defective path is quadratic, fixed path is linear");
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} else {
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System.out.println("FAIL — ratio not demonstrated");
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System.exit(1);
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}
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}
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}
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