AI Threat Alert
CVE-2020-26266
MEDIUMIn affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
Severity & Risk
Recommended Action
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD Description
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L References
- github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2 Exploit Patch 3rd Party
- github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2 Exploit Patch 3rd Party