CVE-2021-41216
low-risk
Published 2021-11-05
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Do I need to act?
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0.02% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
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Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
5
CVSS 5.5/10
Medium
LOCAL
/ LOW complexity
Affected Products (3)
Affected Vendors
References (4)
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9
27
/ 100
low-risk
Severity
18/34 · Moderate
Exploitability
0/34 · Minimal
Exposure
9/34 · Low