CVE-2020-26266

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.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
GitHub_MCNA
4.4 MEDIUM
LOCAL
LOW
LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
Base Score
CVSS 3.x
EPSS Score
Percentile: 16%
Affected Products (NVD)
VendorProductVersion
googletensorflow
𝑥
< 1.15.5
googletensorflow
2.0.0 ≤
𝑥
< 2.0.4
googletensorflow
2.1.0 ≤
𝑥
< 2.1.3
googletensorflow
2.2.0 ≤
𝑥
< 2.2.2
googletensorflow
2.3.0 ≤
𝑥
< 2.3.2
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
VendorProductVersionSource
tensorflowtensorflow
𝑥
< 1.15.5
CNA
Common Weakness Enumeration
References
https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2