Fix overlap worker silently dropping non-duplicate secrets
When a chunk matched multiple detectors and one result was flagged as a cross-detector duplicate via likelyDuplicate(), the entire detector was removed from detectorKeysWithResults. This silently dropped any other non-duplicate results from later match spans of that same detector. Because detector iteration order comes from a Go map (non-deterministic), which detector got deleted changed between runs, causing unique secrets to randomly appear or disappear across scans of the same data. The fix tracks specific duplicate results in an overlapEmitted map keyed by (DetectorKey, raw secret value). The detector remains in the pipeline for full processing by detectChunk, which skips only the results already emitted by the overlap worker via the new overlapSecrets field on detectableChunk. This gives exact-once reporting for both duplicate and non-duplicate results with no silent data loss. Co-authored-by: Cursor <[email protected]>
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# Bug Fix: Overlap Worker Silently Drops Non-Duplicate Secrets
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## Summary
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The verification overlap worker in `pkg/engine/engine.go` silently drops unique secrets when a chunk contains multiple secrets from the same detector, and one of those secrets overlaps with a different detector's result.
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## Root Cause
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When a chunk matches multiple detectors (e.g., `GoogleGeminiAPIKey` and `YoutubeApiKey`), the overlap worker runs each detector to check for cross-detector duplicates via `likelyDuplicate()`. If one of a detector's results is flagged as a duplicate, the code deletes the **entire detector** from further processing:
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```go
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delete(detectorKeysWithResults, detector.Key)
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```
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This means any **other, non-duplicate results** from that same detector on different match spans are silently lost — they never reach `detectChunk` for full processing.
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Because detectors are iterated from a Go map (non-deterministic order), which detector gets deleted changes between runs. This causes unique secrets to randomly appear or disappear across scans of the same data.
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## How to Reproduce
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Create a test file containing multiple secrets that match both `GoogleGeminiAPIKey` (regex: `AIzaSy[A-Za-z0-9_-]{33}`) and `YoutubeApiKey` (requires a `youtube` keyword prefix). The key ingredient is:
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1. A secret that matches **both** detectors (the overlap trigger)
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2. A separate secret that matches **only one** of those detectors (the victim)
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Example file (`/tmp/overlap-test.txt`):
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```
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# Config file for testing
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youtube_api_key = AIzaSyFAKE1aaBBccDDeeFFggHHiiJJkkLLmmNNO
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other_api_key = AIzaSyFAKE2xxYYzzAAbbCCddEEffGGhhIIjjKKL
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```
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Line 3 contains a key prefixed with `youtube`, so it matches both `YoutubeApiKey` and `GoogleGeminiAPIKey`. Line 5 contains a key that only matches `GoogleGeminiAPIKey` (no `youtube` prefix).
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Run the scan multiple times and observe the flapping:
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```bash
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for i in $(seq 1 10); do
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RESULTS=$(trufflehog filesystem /tmp/overlap-test.txt --no-verification --json 2>/dev/null)
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COUNT=$(echo "$RESULTS" | wc -l)
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UNIQUE=$(echo "$RESULTS" | python3 -c "
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import sys, json
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seen = set()
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for line in sys.stdin:
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r = json.loads(line.strip())
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seen.add((r.get('DetectorType'), r.get('Raw')))
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print(len(seen))
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")
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echo "Run $i: $COUNT results, $UNIQUE unique secrets"
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done
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```
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**Before fix:** The unique count flaps — sometimes the second key (`AIzaSyFAKE2...`) is missing because `GoogleGeminiAPIKey` lost the overlap coin flip on the first key and the entire detector was deleted.
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**After fix:** The result count and unique count are stable across all runs.
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## The Fix
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Instead of deleting the entire detector when one of its results is a cross-detector duplicate, we now track the specific duplicate result and pass it through to `detectChunk` via an `overlapSecrets` set on the `detectableChunk` struct.
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The overlap worker still emits the duplicate result with `errOverlap` (preserving existing behavior). The detector remains in `detectorKeysWithResults` and flows to `detectChunk` for full processing. In `detectChunk`, results whose raw value matches an entry in `overlapSecrets` are skipped, preventing double-reporting. All other results from that detector are processed normally.
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This gives us proper deduplication with no silent data loss:
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- Duplicate results: emitted exactly once (from the overlap worker, with `errOverlap`)
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- Non-duplicate results: emitted exactly once (from `detectChunk`)
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- No results lost
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## Impact
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Any file containing:
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- Multiple secrets matching the same detector (e.g., multiple Google API keys)
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- At least one of those secrets also matching a different detector (e.g., a key near the word "youtube")
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...is affected. The non-overlapping secrets randomly disappear depending on Go map iteration order, making scan results non-deterministic.
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## Files Changed
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- `pkg/engine/engine.go`:
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- Added `overlapSecrets` field to `detectableChunk` struct
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- Replaced `delete(detectorKeysWithResults, detector.Key)` in `verificationOverlapWorker` with per-result tracking via `overlapEmitted` map
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- Added overlap secret filtering in `detectChunk` result loop
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+33
-13
@@ -773,10 +773,11 @@ func (e *Engine) ScanChunk(chunk *sources.Chunk) {
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// detectableChunk is a decoded chunk that is ready to be scanned by its detector.
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type detectableChunk struct {
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detector *ahocorasick.DetectorMatch
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chunk sources.Chunk
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decoder detectorspb.DecoderType
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wgDoneFn func()
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detector *ahocorasick.DetectorMatch
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chunk sources.Chunk
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decoder detectorspb.DecoderType
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wgDoneFn func()
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overlapSecrets map[string]struct{}
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}
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// verificationOverlapChunk is a decoded chunk that has multiple detectors that match it.
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@@ -992,6 +993,8 @@ func (e *Engine) verificationOverlapWorker(ctx context.Context) {
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chunkSecrets := make(map[chunkSecretKey]struct{}, avgSecretsPerDetector)
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for chunk := range e.verificationOverlapChunksChan {
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overlapEmitted := make(map[ahocorasick.DetectorKey]map[string]struct{})
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for _, detector := range chunk.detectors {
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isFalsePositive := detectors.GetFalsePositiveCheck(detector.Detector)
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@@ -1057,10 +1060,13 @@ func (e *Engine) verificationOverlapWorker(ctx context.Context) {
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isFalsePositive,
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)
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// Remove the detector key from the list of detector keys with results.
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// This is to ensure that the chunk is not reprocessed with verification enabled
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// for this detector.
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delete(detectorKeysWithResults, detector.Key)
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// Track this specific secret as already emitted so detectChunk
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// can skip it, but keep the detector in detectorKeysWithResults
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// so its other non-duplicate results are still processed.
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if _, ok := overlapEmitted[detector.Key]; !ok {
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overlapEmitted[detector.Key] = make(map[string]struct{})
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}
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overlapEmitted[detector.Key][string(val)] = struct{}{}
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}
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chunkSecrets[key] = struct{}{}
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}
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@@ -1069,12 +1075,17 @@ func (e *Engine) verificationOverlapWorker(ctx context.Context) {
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for _, detector := range detectorKeysWithResults {
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wgDetect.Add(1)
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chunk.chunk.Verify = e.shouldVerifyChunk(chunk.chunk.Verify, detector, e.detectorVerificationOverrides)
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verify := e.shouldVerifyChunk(chunk.chunk.Verify, detector, e.detectorVerificationOverrides)
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if _, hadOverlap := overlapEmitted[detector.Key]; hadOverlap {
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verify = false
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}
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chunk.chunk.Verify = verify
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e.detectableChunksChan <- detectableChunk{
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chunk: chunk.chunk,
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detector: detector,
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decoder: chunk.decoder,
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wgDoneFn: wgDetect.Done,
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chunk: chunk.chunk,
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detector: detector,
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decoder: chunk.decoder,
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wgDoneFn: wgDetect.Done,
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overlapSecrets: overlapEmitted[detector.Key],
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}
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}
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@@ -1180,6 +1191,15 @@ func (e *Engine) detectChunk(ctx context.Context, data detectableChunk) {
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}
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for _, res := range results {
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if data.overlapSecrets != nil {
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raw := string(res.Raw)
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if res.RawV2 != nil {
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raw = string(res.RawV2)
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}
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if _, ok := data.overlapSecrets[raw]; ok {
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continue
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}
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}
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e.processResult(ctx, res, data.chunk, data.decoder, data.detector.Detector.Description(), isFalsePositive)
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}
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}
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