CVE-2022-41883GHSA-W58W-79XV-6VCJBIT-TENSORFLOW-2022-41883PYSEC-2026-1042PYSEC-2026-3251PYSEC-2026-3376
Out of bounds segmentation fault due to unequal op inputs in Tensorflow
- 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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 2.10.1
- 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: poc
- Automatable: no
- Technical impact: partial
Summary
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- tensorflow tensorflow
From 2.10.0 · fixed in 2.10.1
- tensorflowPyPI
From 2.10.0 · fixed in 2.10.1
- tensorflow-cpuPyPI
From 2.10.0 · fixed in 2.10.1
- tensorflow-gpuPyPI
From 2.10.0 · fixed in 2.10.1