Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29577Heap buffer overflow in `AvgPool3DGrad`

Low 2.5

In plain English

A low-severity memory corruption 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 11% 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 88.6% 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.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. 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-v6r6-84gr-92rm
PyPItensorflow2.4.2GHSA-v6r6-84gr-92rm
PyPItensorflow2.1.4GHSA-v6r6-84gr-92rm
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-214
PyPItensorflow2.2.3GHSA-v6r6-84gr-92rm
PyPItensorflow-cpu2.4.2GHSA-v6r6-84gr-92rm
PyPItensorflow-cpu2.1.4GHSA-v6r6-84gr-92rm
PyPItensorflow-cpu2.2.3GHSA-v6r6-84gr-92rm
PyPItensorflow-cpu2.3.3GHSA-v6r6-84gr-92rm
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-505
PyPItensorflow-gpu2.3.3GHSA-v6r6-84gr-92rm
PyPItensorflow-gpu2.4.2GHSA-v6r6-84gr-92rm
PyPItensorflow-gpu2.1.4GHSA-v6r6-84gr-92rm
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-703
PyPItensorflow-gpu2.2.3GHSA-v6r6-84gr-92rm

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-119 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References