Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29611Incomplete validation in `SparseReshape`

Low 3.6

In plain English

A low-severity security flaw 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)3.6Low
Exploit odds (30 days)0.2%top 89.8% 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. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-248
PyPItensorflow2.3.3GHSA-9rpc-5v9q-5r7f
PyPItensorflow2.4.2GHSA-9rpc-5v9q-5r7f
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-539
PyPItensorflow-cpu2.4.2GHSA-9rpc-5v9q-5r7f
PyPItensorflow-cpu2.3.3GHSA-9rpc-5v9q-5r7f
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-737
PyPItensorflow-gpu2.3.3GHSA-9rpc-5v9q-5r7f
PyPItensorflow-gpu2.4.2GHSA-9rpc-5v9q-5r7f

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-665 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L

References