Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
A segfault in the simplifyBroadcast function in TensorFlow, which is in the MLIR-TFRT infrastructure, affects the tensorflow, tensorflow-cpu and tensorflow-gpu packages from 2.8.0-rc0 up to but not including 2.8.0. The source says it is triggered when the function is called with all scalar shapes, causing a denial of service. Upgrade to TensorFlow 2.8.0, which includes the fix.
Not analysed yet
We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.
Severity and exploitation
| Score | Rating | CVSS | Vector | Source |
|---|---|---|---|---|
| 5.9 | Medium | 3.1 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H | CNA (GitHub_M) |
- CISA KEV Not listed.
- EPSS 0.0087, the 59th percentile, on 9 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 15:01 UTC First seen by agentprime
- 31 Oct 2026, 15:01 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-gwcx-jrx4-92w2
- OSV: GHSA-gwcx-jrx4-92w2
- github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
- nvd.nist.gov/vuln/detail/CVE-2022-23593
- github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-157.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205