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Vulnerability details: VCID-hcud-kg7b-zyhx
Vulnerability ID VCID-hcud-kg7b-zyhx
Aliases CVE-2022-23593
GHSA-gwcx-jrx4-92w2
PYSEC-2022-102
PYSEC-2022-157
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.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (3)
CWE-754 Improper Check for Unusual or Exceptional Conditions
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-157.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
CVE-2022-23593 https://nvd.nist.gov/vuln/detail/CVE-2022-23593
GHSA-gwcx-jrx4-92w2 https://github.com/advisories/GHSA-gwcx-jrx4-92w2
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:44.079646+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml 38.6.0