CVE security advisories and vulnerability history for exiv2 by PyPI.
Last updated
PyPI exiv2 has 11 published CVE records since 2017, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 7 have a known public exploit. The average CVSS base score across scored CVEs is 6.6.
This page aggregates every publicly disclosed vulnerability (CVE) affecting PyPI exiv2, 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 exiv2's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
7 additional CVEs have no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of PyPI exiv2's CVEs are currently listed in CISA's KEV catalog.
Public exploits
7
7 of PyPI exiv2's CVEs have a known public exploit available.
Browse every PyPI exiv2 version named in a CVE, then pick one to see only the CVEs that affect it.
11 CVEs
The CWE weakness categories most often found in PyPI exiv2 CVEs. Follow any weakness for its full explanation.
How many PyPI exiv2 CVEs were published each year.
Browse vulnerabilities for other products by PyPI.
Common questions about PyPI exiv2 vulnerabilities.
PyPI exiv2 has 11 published CVE records since 2017.
None of PyPI exiv2's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 7 of PyPI exiv2's CVEs have a known public exploit.
30 distinct PyPI exiv2 versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
PyPI exiv2's CVEs most often map to these CWE weakness types: CWE-125 (Out-of-bounds Read), CWE-674 (Uncontrolled Recursion), CWE-770 (Allocation of Resources Without Limits or Throttling), CWE-787 (Out-of-bounds Write).
The average CVSS base score across PyPI exiv2's scored CVEs is 6.6.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new PyPI exiv2 vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
