VulnerabilityModified
CVE-2020-26266
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution.
MEDIUM 5.3EPSS 0.26%
Does this matter?
Lower severity and a low EPSS score (0.26%). Track it; it rarely justifies an emergency change on its own.
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.
- CVSS 3.1
- 5.3 MEDIUMCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
- EPSS
- 0.26% probability · 18th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-908
- Affected
- google/tensorflow
- Source
- security-advisories@github.com
References
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2Exploit, Patch, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.