Update trufflehog to 3.93.7

[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

• [INS-331] Fix the issue causing the tests file system soruce tests to fail on windows by @MuneebUllahKhan222 in [INS-331] Fix the issue causing the tests file system soruce tests to fail on windows trufflesecurity/trufflehog#4743
• Thread original chunk data through engine pipeline by @dustin-decker in Thread original chunk data through engine pipeline trufflesecurity/trufflehog#4780
• Added detector for JFrog Artifactory Reference Tokens by @shahzadhaider1 in Added detector for JFrog Artifactory Reference Tokens trufflesecurity/trufflehog#4684
• Fix JDBC detector regex truncating trailing non-alphanumeric password characters by @amanfcp in Fix JDBC detector regex truncating trailing non-alphanumeric password characters trufflesecurity/trufflehog#4755

Full Changelog: trufflesecurity/trufflehog@v3.93.6...v3.93.7

[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	4.25ms	4.35ms	+2.3% ⚪	✅
Bloom Filter Large Scale Dns Brute Force	18.23ms	18.65ms	+2.3% ⚪	✅
Large Closest Match Lookup	362.97ms	355.76ms	-2.0% ⚪	✅
Realistic Closest Match Workload	192.98ms	191.74ms	-0.6% ⚪	✅
Event Validation Full Scan Startup Small Batch	486.39ms	501.28ms	+3.1% ⚪	✅
Event Validation Full Scan Startup Large Batch	882.46ms	816.40ms	-7.5% ⚪	✅
Make Event Autodetection Small	31.53ms	31.37ms	-0.5% ⚪	✅
Make Event Autodetection Large	320.39ms	321.07ms	+0.2% ⚪	✅
Make Event Explicit Types	14.62ms	14.30ms	-2.2% ⚪	✅
Excavate Single Thread Small	4.133s	4.156s	+0.6% ⚪	✅
Excavate Single Thread Large	9.974s	9.955s	-0.2% ⚪	✅
Excavate Parallel Tasks Small	4.370s	4.381s	+0.2% ⚪	✅
Excavate Parallel Tasks Large	7.444s	7.594s	+2.0% ⚪	✅
Is Ip Performance	3.20ms	3.18ms	-0.6% ⚪	✅
Make Ip Type Performance	11.36ms	11.28ms	-0.7% ⚪	✅
Mixed Ip Operations	4.49ms	4.44ms	-1.1% ⚪	✅
Typical Queue Shuffle	62.13µs	60.92µs	-1.9% ⚪	✅
Priority Queue Shuffle	709.22µs	693.91µs	-2.2% ⚪	✅

🎯 Performance Summary

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

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🐍 Python Version 3.11.14

[Ramrodddd]

Pending

[Ramrodddd]

Not approved

[Ramrodddd]

Pending

[Ramrodddd]

Pending

[TheTechromancer]

@Ramrodddd thanks for the approval, it means a lot