PyPI tensorflow Vulnerabilities

• CWE-369Divide By Zero45 CVEs
• CWE-125Out-of-bounds Read36 CVEs
• CWE-476NULL Pointer Dereference27 CVEs
• CWE-20Improper Input Validation17 CVEs
• CWE-824Access of Uninitialized Pointer14 CVEs
• CWE-119Improper Restriction of Operations within the Bounds of a Memory Buffer

All PyPI vulnerabilities

How many CVEs does PyPI tensorflow have?

PyPI tensorflow has 234 published CVE records since 2019.

How many PyPI tensorflow CVEs are in CISA KEV?

None of PyPI tensorflow's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.

Are there public exploits for PyPI tensorflow vulnerabilities?

Yes — 161 of PyPI tensorflow's CVEs have a known public exploit.

Which versions of PyPI tensorflow are affected?

427 distinct PyPI tensorflow versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.

What are the most common weakness types in PyPI tensorflow CVEs?

PyPI tensorflow's CVEs most often map to these CWE weakness types: CWE-369 (Divide By Zero), CWE-125 (Out-of-bounds Read), CWE-476 (NULL Pointer Dereference), CWE-20 (Improper Input Validation).

How many critical PyPI tensorflow vulnerabilities are there?

PyPI tensorflow has 3 critical and 50 high-severity CVEs.

What is the average severity of PyPI tensorflow CVEs?

The average CVSS base score across PyPI tensorflow's scored CVEs is 4.8.

• All PyPI vulnerabilities
• The MITRE CVE Program (opens in a new tab)
• Learn: What is a CVE?
• CWE directory: the weakness types these CVEs map to

Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.