CVE security advisories and vulnerability history for tensorflow-gpu by pip.
Last updated
pip tensorflow-gpu has 421 published CVE records since 2019, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 92 have a known public exploit. The average CVSS base score across scored CVEs is 5.4.
This page aggregates every publicly disclosed vulnerability (CVE) affecting pip tensorflow-gpu, 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-gpu'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-gpu's CVEs are currently listed in CISA's KEV catalog.
Public exploits
92
92 of pip tensorflow-gpu's CVEs have a known public exploit available.
Browse every pip tensorflow-gpu 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-gpu CVEs. Follow any weakness for its full explanation.
How many pip tensorflow-gpu CVEs were published each year.
Browse vulnerabilities for other products by pip.
Common questions about pip tensorflow-gpu vulnerabilities.
pip tensorflow-gpu has 421 published CVE records since 2019.
None of pip tensorflow-gpu's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 92 of pip tensorflow-gpu's CVEs have a known public exploit.
44 distinct pip tensorflow-gpu versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
pip tensorflow-gpu's CVEs most often map to these CWE weakness types: CWE-617 (Reachable Assertion), CWE-20 (Improper Input Validation), CWE-369 (Divide By Zero), CWE-125 (Out-of-bounds Read).
pip tensorflow-gpu has 5 critical and 101 high-severity CVEs.
The average CVSS base score across pip tensorflow-gpu's scored CVEs is 5.4.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new pip tensorflow-gpu vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
