CVE security advisories and vulnerability history for mercurial by PyPI.
Last updated
PyPI mercurial has 16 published CVE records since 2015, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 2 have a known public exploit. The average CVSS base score across scored CVEs is 5.1.
This page aggregates every publicly disclosed vulnerability (CVE) affecting PyPI mercurial, with a severity breakdown, the affected and patched versions, the most common weakness types, and the full CVE list.
How the CVSS severity of PyPI mercurial's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
15 additional CVEs have no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of PyPI mercurial's CVEs are currently listed in CISA's KEV catalog.
Public exploits
2
2 of PyPI mercurial's CVEs have a known public exploit available.
Browse every PyPI mercurial version named in a CVE, then pick one to see only the CVEs that affect it.
16 CVEs
The CWE weakness categories most often found in PyPI mercurial CVEs. Follow any weakness for its full explanation.
How many PyPI mercurial CVEs were published each year.
Browse vulnerabilities for other products by PyPI.
Common questions about PyPI mercurial vulnerabilities.
PyPI mercurial has 16 published CVE records since 2015.
None of PyPI mercurial's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 2 of PyPI mercurial's CVEs have a known public exploit.
169 distinct PyPI mercurial versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
PyPI mercurial's CVEs most often map to these CWE weakness types: CWE-22 (Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')).
The average CVSS base score across PyPI mercurial's scored CVEs is 5.1.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new PyPI mercurial vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
