Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
Three TensorFlow packages (tensorflow, tensorflow-cpu, and tensorflow-gpu) before 2.7.1 are affected. A maliciously altered GraphDef inside a SavedModel can crash the TensorFlow process, so an attacker needs a crafted model file that a user loads. Upgrade to TensorFlow 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 |
|---|---|---|---|---|
| 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 0.0098, the 62nd 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-pqrv-8r2f-7278
- OSV: GHSA-pqrv-8r2f-7278
- github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278
- nvd.nist.gov/vuln/detail/CVE-2022-23590
- github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-99.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-154.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567