Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
TensorFlow versions before 2.5.3, from 2.6.0 before 2.6.3, and from 2.7.0 before 2.7.1 (also tensorflow-cpu and tensorflow-gpu) can crash when shape inference fails to specialize a type. The source describes this as a crash rather than a broader compromise, and it gives few details on how an attacker would trigger it. Upgrade to 2.5.3, 2.6.3, 2.7.1 or later.
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 |
|---|---|---|---|---|
| 6.5 | Medium | 3.1 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H | CNA (GitHub_M) |
- CISA KEV Not listed.
- EPSS 0.010, the 63rd percentile, on 9 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 15:02 UTC First seen by agentprime
- 31 Oct 2026, 15:02 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-rww7-2gpw-fv6j
- OSV: GHSA-rww7-2gpw-fv6j
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j
- nvd.nist.gov/vuln/detail/CVE-2022-23572
- github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-81.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-136.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174