CVE-2021-29574

low-risk
Published 2021-05-14

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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
2
CVSS 2.5/10 Low
LOCAL / HIGH complexity

Affected Products (1)

Affected Vendors

Google

References (4)

Patch https://github.com/tensorflow/tensorflow/commit/a3d9f9be9ac2296615644061b40cefce...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-828x-qc2p-wprq
Patch https://github.com/tensorflow/tensorflow/commit/a3d9f9be9ac2296615644061b40cefce...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-828x-qc2p-wprq
11
/ 100
low-risk
Severity 6/34 · Minimal
Exploitability 0/34 · Minimal
Exposure 5/34 · Minimal