CVE security advisories and vulnerability history for tensorflow by Bitnami.
Last updated
Bitnami tensorflow has 423 published CVE records since 2020, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 95 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 Bitnami 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 Bitnami tensorflow's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
2 additional CVEs have no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of Bitnami tensorflow's CVEs are currently listed in CISA's KEV catalog.
Public exploits
95
95 of Bitnami tensorflow's CVEs have a known public exploit available.
Browse every Bitnami tensorflow version named in a CVE, then pick one to see only the CVEs that affect it.
423 CVEs
Showing 30 of 423
The CWE weakness categories most often found in Bitnami tensorflow CVEs. Follow any weakness for its full explanation.
How many Bitnami tensorflow CVEs were published each year.
Browse vulnerabilities for other products by Bitnami.
Common questions about Bitnami tensorflow vulnerabilities.
Bitnami tensorflow has 423 published CVE records since 2020.
None of Bitnami tensorflow's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 95 of Bitnami tensorflow's CVEs have a known public exploit.
41 distinct Bitnami tensorflow versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
Bitnami 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).
Bitnami tensorflow has 5 critical and 106 high-severity CVEs.
The average CVSS base score across Bitnami 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 Bitnami tensorflow vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
