CVE security advisories and vulnerability history for tensorflow by pip.
Last updated
pip tensorflow has 421 published CVE records since 2019, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 93 have a known public exploit. The average CVSS base score across scored CVEs is 5.5.
This page aggregates every publicly disclosed vulnerability (CVE) affecting pip tensorflow, with a severity breakdown, the affected and patched versions, the most common weakness types, and the full CVE list.
How the CVSS severity of pip tensorflow's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
8 additional CVEs have no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of pip tensorflow's CVEs are currently listed in CISA's KEV catalog.
Public exploits
93
93 of pip tensorflow's CVEs have a known public exploit available.
Browse every pip tensorflow version named in a CVE, then pick one to see only the CVEs that affect it.
421 CVEs
Showing 30 of 421
The CWE weakness categories most often found in pip tensorflow CVEs. Follow any weakness for its full explanation.
How many pip tensorflow CVEs were published each year.
Browse vulnerabilities for other products by pip.
Common questions about pip tensorflow vulnerabilities.
pip tensorflow has 421 published CVE records since 2019.
None of pip tensorflow's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 93 of pip tensorflow's CVEs have a known public exploit.
44 distinct pip tensorflow versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
pip tensorflow's CVEs most often map to these CWE weakness types: CWE-20 (Improper Input Validation), CWE-617 (Reachable Assertion), CWE-125 (Out-of-bounds Read), CWE-369 (Divide By Zero).
pip tensorflow has 5 critical and 103 high-severity CVEs.
The average CVSS base score across pip tensorflow's scored CVEs is 5.5.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new pip tensorflow vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
