Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37661Crash caused by integer conversion to unsigned in TensorFlow

Medium 5.5

In plain English

A medium-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 5% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.5Medium
Exploit odds (30 days)0.2%top 95.4% 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. In affected versions an attacker can cause a denial of service in `boosted_trees_create_quantile_stream_resource` by using negative arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantile_ops.cc#L96) does not validate that `num_streams` only contains non-negative numbers. In turn, [this results in using this value to allocate memory](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantiles/quantile_stream_resource.h#L31-L40). However, `reserve` receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. This results in a crash from the standard library. We have patched the issue in GitHub commit 8a84f7a2b5a2b27ecf88d25bad9ac777cd2f7992. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.4, 2.4.3PYSEC-2021-283
PyPItensorflow2.3.4GHSA-gf88-j2mg-cc82
PyPItensorflow2.4.3GHSA-gf88-j2mg-cc82
PyPItensorflow2.5.1GHSA-gf88-j2mg-cc82
PyPItensorflow-cpu2.4.3GHSA-gf88-j2mg-cc82
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-574
PyPItensorflow-cpu2.3.4GHSA-gf88-j2mg-cc82
PyPItensorflow-cpu2.5.1GHSA-gf88-j2mg-cc82
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-772
PyPItensorflow-gpu2.3.4GHSA-gf88-j2mg-cc82
PyPItensorflow-gpu2.4.3GHSA-gf88-j2mg-cc82
PyPItensorflow-gpu2.5.1GHSA-gf88-j2mg-cc82

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4

Weakness: CWE-681 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References