baddns 2.0.0 / badsecrets 1.0.0 compatibility

[liquidsec]

Summary

• baddns: Pass severity/confidence directly from library instead of mapping (baddns 2.0.0 aligns with BBOT's levels)
• baddns: Replace only_high_confidence boolean with min_severity/min_confidence threshold options (defaults: LOW/MODERATE)
• baddns_direct: Inherit from baddns base module instead of duplicating setup/threshold logic
• badsecrets: Add ASPNET_Resource to technology detection (new module in badsecrets 1.0.0)
• Version bumps: baddns~=2.0.0, badsecrets~=1.0.0

Note: Tests will fail until baddns 2.0.0 and badsecrets 1.0.0 are published to PyPI.

[liquidsec]

do not merge until badsecrets 1.0 and baddns 2.0 are released.

[github-actions]

📊 Performance Benchmark Report

Comparing 3.0 (baseline) vs badsecrets-baddns-major-version-compat (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	4.31ms	4.36ms	+1.0% ⚪	✅
Bloom Filter Large Scale Dns Brute Force	17.98ms	18.09ms	+0.6% ⚪	✅
Large Closest Match Lookup	344.02ms	331.14ms	-3.7% ⚪	✅
Realistic Closest Match Workload	180.26ms	179.28ms	-0.5% ⚪	✅
Event Memory Medium Scan	1769 B/event	1768 B/event	-0.0% ⚪	✅
Event Memory Large Scan	1757 B/event	1757 B/event	+0.0% ⚪	✅
Event Validation Full Scan Startup Small Batch	448.81ms	451.76ms	+0.7% ⚪	✅
Event Validation Full Scan Startup Large Batch	704.72ms	715.16ms	+1.5% ⚪	✅
Make Event Autodetection Small	24.58ms	24.88ms	+1.2% ⚪	✅
Make Event Autodetection Large	249.88ms	252.28ms	+1.0% ⚪	✅
Make Event Explicit Types	10.53ms	10.57ms	+0.4% ⚪	✅
Excavate Single Thread Small	3.579s	3.566s	-0.4% ⚪	✅
Excavate Single Thread Large	8.926s	8.799s	-1.4% ⚪	✅
Excavate Parallel Tasks Small	3.762s	3.765s	+0.1% ⚪	✅
Excavate Parallel Tasks Large	6.898s	6.898s	+0.0% ⚪	✅
Is Ip Performance	3.12ms	3.23ms	+3.3% ⚪	✅
Make Ip Type Performance	11.18ms	11.25ms	+0.7% ⚪	✅
Mixed Ip Operations	4.45ms	4.55ms	+2.2% ⚪	✅
Typical Queue Shuffle	60.10µs	59.13µs	-1.6% ⚪	✅
Priority Queue Shuffle	696.02µs	681.83µs	-2.0% ⚪	✅

🎯 Performance Summary

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

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🐍 Python Version 3.11.14