Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29564Null pointer dereference in `EditDistance`

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 9% 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 91.4% 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. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. 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-75f6-78jr-4656
PyPItensorflow2.4.2GHSA-75f6-78jr-4656
PyPItensorflow2.1.4GHSA-75f6-78jr-4656
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-201
PyPItensorflow2.2.3GHSA-75f6-78jr-4656
PyPItensorflow-cpu2.4.2GHSA-75f6-78jr-4656
PyPItensorflow-cpu2.1.4GHSA-75f6-78jr-4656
PyPItensorflow-cpu2.2.3GHSA-75f6-78jr-4656
PyPItensorflow-cpu2.3.3GHSA-75f6-78jr-4656
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-492
PyPItensorflow-gpu2.3.3GHSA-75f6-78jr-4656
PyPItensorflow-gpu2.4.2GHSA-75f6-78jr-4656
PyPItensorflow-gpu2.1.4GHSA-75f6-78jr-4656
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-690
PyPItensorflow-gpu2.2.3GHSA-75f6-78jr-4656

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