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Update trufflehog to 3.95.9#3295

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liquidsec merged 1 commit into
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update-trufflehog
Jul 10, 2026
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Update trufflehog to 3.95.9#3295
liquidsec merged 1 commit into
devfrom
update-trufflehog

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This PR uses https://api.github.com/repos/trufflesecurity/trufflehog/releases/latest to obtain the latest version of trufflehog and update the version in bbot/modules/trufflehog.py.

Release notes:

What's Changed

New Contributors

Full Changelog: trufflesecurity/trufflehog@v3.95.8...v3.95.9

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📊 Performance Benchmark Report

Comparing dev (baseline) vs update-trufflehog (current)

📈 Detailed Results (All Benchmarks)

📋 Complete results for all benchmarks - includes both significant and insignificant changes

🧪 Test Name 📏 Base 📏 Current 📈 Change 🎯 Status
Bloom Filter Dns Mutation Tracking Performance 4.21ms 4.21ms -0.2%
Bloom Filter Large Scale Dns Brute Force 17.89ms 17.40ms -2.7%
Large Closest Match Lookup 365.53ms 356.64ms -2.4%
Realistic Closest Match Workload 191.47ms 193.64ms +1.1%
Event Memory Medium Scan 1403 B/event 1402 B/event -0.1%
Event Memory Large Scan 1527 B/event 1527 B/event +0.0%
Event Validation Full Scan Startup Small Batch 402.86ms 407.31ms +1.1%
Event Validation Full Scan Startup Large Batch 538.74ms 541.08ms +0.4%
Make Event Autodetection Small 25.89ms 25.51ms -1.5%
Make Event Autodetection Large 262.80ms 262.32ms -0.2%
Make Event Explicit Types 11.53ms 11.41ms -1.0%
Excavate Single Thread Small 4.039s 4.034s -0.1%
Excavate Single Thread Large 9.998s 9.788s -2.1%
Excavate Parallel Tasks Small 4.178s 4.214s +0.9%
Excavate Parallel Tasks Large 6.323s 6.322s -0.0%
Intercept Throughput Small 879.12ms 872.25ms -0.8%
Intercept Throughput Medium 868.50ms 922.54ms +6.2%
Dns Throughput Quiet 2.712s 2.688s -0.9%
Dns Throughput Loaded 1.768s 1.891s +6.9%
Dns Throughput Inherited 2.430s 2.333s -4.0%
Is Ip Performance 2.22ms 2.23ms +0.5%
Make Ip Type Performance 230.69µs 232.04µs +0.6%
Mixed Ip Operations 2.34ms 2.31ms -1.4%
Memory Use Web Crawl 1.0 MB 1.0 MB +0.0%
Memory Use Subdomain Enum 28.3 MB 28.3 MB +0.0%
Memory Use Deep Chain 5.0 MB 5.0 MB +0.0%
Memory Use Parallel Chains 13.2 MB 12.1 MB -8.4%
Scan Throughput 100 2.826s 2.706s -4.3%
Scan Throughput 1000 20.545s 20.629s +0.4%
Typical Queue Shuffle 5.38µs 5.36µs -0.4%
Priority Queue Shuffle 25.68µs 25.81µs +0.5%

🎯 Performance Summary

No significant performance changes detected (all changes <10%)


🐍 Python Version 3.11.15

@codecov

codecov Bot commented Jul 10, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 90%. Comparing base (57f7312) to head (481972f).
⚠️ Report is 2 commits behind head on dev.

Additional details and impacted files
@@          Coverage Diff          @@
##             dev   #3295   +/-   ##
=====================================
- Coverage     90%     90%   -0%     
=====================================
  Files        450     450           
  Lines      46229   46229           
=====================================
- Hits       41484   41483    -1     
- Misses      4745    4746    +1     

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

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@liquidsec liquidsec merged commit 69ec06a into dev Jul 10, 2026
24 of 25 checks passed
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