Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29574Undefined behavior in `MaxPool3DGradGrad`

Low 2.5

In plain English

A low-severity null pointer dereference in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 10% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)2.5Low
Exploit odds (30 days)0.2%top 89.9% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.3GHSA-828x-qc2p-wprq
PyPItensorflow2.4.2GHSA-828x-qc2p-wprq
PyPItensorflow2.1.4GHSA-828x-qc2p-wprq
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-211
PyPItensorflow2.2.3GHSA-828x-qc2p-wprq
PyPItensorflow-cpu2.4.2GHSA-828x-qc2p-wprq
PyPItensorflow-cpu2.1.4GHSA-828x-qc2p-wprq
PyPItensorflow-cpu2.2.3GHSA-828x-qc2p-wprq
PyPItensorflow-cpu2.3.3GHSA-828x-qc2p-wprq
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-502
PyPItensorflow-gpu2.3.3GHSA-828x-qc2p-wprq
PyPItensorflow-gpu2.4.2GHSA-828x-qc2p-wprq
PyPItensorflow-gpu2.1.4GHSA-828x-qc2p-wprq
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-700
PyPItensorflow-gpu2.2.3GHSA-828x-qc2p-wprq

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-476 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References