Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37672Heap OOB in `SdcaOptimizerV2` in TensorFlow

Medium 5.5

In plain English

A medium-severity out-of-bounds read 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 7% 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 93.4% 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 read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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-2021-294
PyPItensorflow2.3.4GHSA-5hj3-vjjf-f5m7
PyPItensorflow2.4.3GHSA-5hj3-vjjf-f5m7
PyPItensorflow2.5.1GHSA-5hj3-vjjf-f5m7
PyPItensorflow-cpu2.4.3GHSA-5hj3-vjjf-f5m7
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-585
PyPItensorflow-cpu2.3.4GHSA-5hj3-vjjf-f5m7
PyPItensorflow-cpu2.5.1GHSA-5hj3-vjjf-f5m7
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-783
PyPItensorflow-gpu2.3.4GHSA-5hj3-vjjf-f5m7
PyPItensorflow-gpu2.4.3GHSA-5hj3-vjjf-f5m7
PyPItensorflow-gpu2.5.1GHSA-5hj3-vjjf-f5m7

Affected products (as reported)

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

Weakness: CWE-125 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

References