Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
The tensorflow, tensorflow-cpu and tensorflow-gpu packages, versions below 1.15.2 and version 2.0.0, segfault when a Python string is converted to tf.float16 in eager mode. An attacker who supplies a string instead of a float16 value in input data or a saved model can cause a denial of service. Upgrade to 1.15.2 or 2.0.1.
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 |
|---|---|---|---|---|
| 5.0 | Medium | 3.1 | CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L | CNA (GitHub_M) |
- CISA KEV Not listed.
- EPSS 0.0059, the 48th percentile, on 9 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 14:38 UTC First seen by agentprime
- 31 Oct 2026, 14:38 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-977j-xj7q-2jr9
- OSV: GHSA-977j-xj7q-2jr9
- github.com/tensorflow/tensorflow/security/advisories/GHSA-977j-xj7q-2jr9
- nvd.nist.gov/vuln/detail/CVE-2020-5215
- github.com/tensorflow/tensorflow/commit/5ac1b9e24ff6afc465756edf845d2e9660bd34bf
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-303.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-338.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-258.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/releases/tag/v1.15.2
- github.com/tensorflow/tensorflow/releases/tag/v2.0.1