CVE-2022-23593PYSEC-2022-157BIT-TENSORFLOW-2022-23593GHSA-GWCX-JRX4-92W2PYSEC-2022-102PYSEC-2026-3193
Segfault in `simplifyBroadcast` 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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 2.8.0
- 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 Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- tensorflow tensorflow
From 2.7.0 · fixed in 2.8.0
- tensorflow-gpuPyPI
From 2.7.0 · fixed in 2.8.0
- tensorflowPyPI
From 2.8.0-rc0 · fixed in 2.8.0
- tensorflow-cpuPyPI
From 2.8.0-rc0 · fixed in 2.8.0
- tensorflow-gpuPyPI
From 2.8.0-rc0 · fixed in 2.8.0
- tensorflow-cpuPyPI
From 2.7.0 · fixed in 2.8.0