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QuantumScan

deepset-ai/haystack

deepset-ai/haystack
12
risk score
3 findings · 200 files scanned

The repository contains 3 MD5 usages, all located in a GitHub utility script for docstring checksum verification. These findings are cryptographically weak but pose minimal business risk as they are used solely for non-security purposes (detecting documentation changes in CI/CD pipelines).

Recent findings
FileAlgorithmSeverity
.github/utils/docstrings_checksum.py:31MD5criticalBusiness impact 5
.github/utils/docstrings_checksum.py:45MD5criticalBusiness impact 5
.github/utils/docstrings_checksum.py:46MD5criticalBusiness impact 5
Exposure by language
Python3 · 100%
Compliance mapping
DORA
OK
NIS2
OK
NIST PQC
Partial
Exports for compliance
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