CVE-2023-33976PYSEC-2026-1962BIT-TENSORFLOW-2023-33976GHSA-GJH7-XX4R-X345PYSEC-2026-3190PYSEC-2026-3331
TensorFlow segfault in array_ops.upper_bound
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 2.13.0, 2.12.1
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
CISA's decision points: whether it is exploited, whether attacks can be automated, and how much control an attacker gets. Assessed (SSVC 2.0.3).What do these mean? →
- Exploitation: none
- Automatable: no
- Technical impact: partial
Summary
TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- tensorflow tensorflow
fixed in 2.13.0
- tensorflow-gpuPyPI
fixed in 2.12.1
- tensorflowPyPI
fixed in 2.12.1
- tensorflow-cpuPyPI
fixed in 2.12.1