Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
Affected versions of tensorflow, tensorflow-cpu and tensorflow-gpu are those before 2.5.3, from 2.6.0 before 2.6.3, and from 2.7.0 before 2.7.1. A type confusion in the shape inference for ConcatV2 lets a crafted input bypass a rank check and cause a segfault, enabling denial of service. Upgrade to 2.5.3, 2.6.3, 2.7.1 or later; no workaround is listed.
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 0.0085, the 58th percentile, on 9 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 14:37 UTC First seen by agentprime
- 31 Oct 2026, 14:37 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-m4hf-j54p-p353
- OSV: GHSA-m4hf-j54p-p353
- github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353
- nvd.nist.gov/vuln/detail/CVE-2022-21731
- github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f53f3ec022
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-55.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-110.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/common_shape_fns.cc#L1961-L2059
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.cc#L345-L358