Update trufflehog to 3.95.2

[blsaccess]

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

• Revert "[INS-397] Fix git version parser panic on non-numeric patch versions" by @trufflesteeeve in Revert "[INS-397] Fix git version parser panic on non-numeric patch versions" trufflesecurity/trufflehog#4903

Full Changelog: trufflesecurity/trufflehog@v3.95.1...v3.95.2

[github-actions]

📊 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	4.27ms	4.26ms	-0.2% ⚪	✅
Bloom Filter Large Scale Dns Brute Force	17.62ms	17.54ms	-0.5% ⚪	✅
Large Closest Match Lookup	369.74ms	361.76ms	-2.2% ⚪	✅
Realistic Closest Match Workload	192.71ms	188.80ms	-2.0% ⚪	✅
Event Memory Medium Scan	1784 B/event	1783 B/event	-0.1% ⚪	✅
Event Memory Large Scan	1768 B/event	1768 B/event	+0.0% ⚪	✅
Event Validation Full Scan Startup Small Batch	411.16ms	406.51ms	-1.1% ⚪	✅
Event Validation Full Scan Startup Large Batch	577.53ms	584.92ms	+1.3% ⚪	✅
Make Event Autodetection Small	31.03ms	31.30ms	+0.9% ⚪	✅
Make Event Autodetection Large	319.10ms	317.33ms	-0.6% ⚪	✅
Make Event Explicit Types	13.88ms	14.07ms	+1.4% ⚪	✅
Excavate Single Thread Small	4.017s	3.997s	-0.5% ⚪	✅
Excavate Single Thread Large	9.493s	9.563s	+0.7% ⚪	✅
Excavate Parallel Tasks Small	4.082s	4.131s	+1.2% ⚪	✅
Excavate Parallel Tasks Large	7.165s	7.186s	+0.3% ⚪	✅
Is Ip Performance	3.23ms	3.24ms	+0.2% ⚪	✅
Make Ip Type Performance	11.74ms	11.83ms	+0.7% ⚪	✅
Mixed Ip Operations	4.56ms	4.62ms	+1.4% ⚪	✅
Memory Use Web Crawl	40.7 MB	46.4 MB	+14.1% 🟡🟡	⚠️
Memory Use Subdomain Enum	19.4 MB	19.4 MB	+0.0% ⚪	✅
Scan Throughput 100	7.026s	7.536s	+7.3% ⚪	✅
Scan Throughput 1000	36.050s	36.136s	+0.2% ⚪	✅
Typical Queue Shuffle	65.42µs	65.98µs	+0.8% ⚪	✅
Priority Queue Shuffle	746.05µs	734.97µs	-1.5% ⚪	✅

🎯 Performance Summary

! 1 regression ⚠️
  23 unchanged ✅

🔍 Significant Changes (>10%)

• Memory Use Web Crawl: 14.1% 🐌 more memory

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🐍 Python Version 3.11.15

[Ramrodddd]

Pending

[Ramrodddd]

Not approved

[Ramrodddd]

Pending

[Ramrodddd]

Pending

[TheTechromancer]

@Ramrodddd thanks for the approval, it means a lot