Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29519CHECK-fail in SparseCross due to type confusion

Low 2.5

In plain English

A low-severity type confusion 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. The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type `tstring` which in fact contains integral elements. Fixing the type confusion by preventing mixing `DT_STRING` and `DT_INT64` types solves this issue. 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-772j-h9xw-ffp5
PyPItensorflow2.4.2GHSA-772j-h9xw-ffp5
PyPItensorflow2.1.4GHSA-772j-h9xw-ffp5
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-156
PyPItensorflow2.2.3GHSA-772j-h9xw-ffp5
PyPItensorflow-cpu2.4.2GHSA-772j-h9xw-ffp5
PyPItensorflow-cpu2.1.4GHSA-772j-h9xw-ffp5
PyPItensorflow-cpu2.2.3GHSA-772j-h9xw-ffp5
PyPItensorflow-cpu2.3.3GHSA-772j-h9xw-ffp5
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-447
PyPItensorflow-gpu2.3.3GHSA-772j-h9xw-ffp5
PyPItensorflow-gpu2.4.2GHSA-772j-h9xw-ffp5
PyPItensorflow-gpu2.1.4GHSA-772j-h9xw-ffp5
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-645
PyPItensorflow-gpu2.2.3GHSA-772j-h9xw-ffp5

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-843 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References