Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37664Heap OOB in boosted trees in TensorFlow

High 7.3

In plain English

A high-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 6% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.3High
Exploit odds (30 days)0.2%top 94.0% 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 `BoostedTreesSparseCalculateBestFeatureSplit`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. 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-2021-286
PyPItensorflow2.3.4GHSA-r4c4-5fpq-56wg
PyPItensorflow2.4.3GHSA-r4c4-5fpq-56wg
PyPItensorflow2.5.1GHSA-r4c4-5fpq-56wg
PyPItensorflow-cpu2.4.3GHSA-r4c4-5fpq-56wg
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-577
PyPItensorflow-cpu2.3.4GHSA-r4c4-5fpq-56wg
PyPItensorflow-cpu2.5.1GHSA-r4c4-5fpq-56wg
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-775
PyPItensorflow-gpu2.3.4GHSA-r4c4-5fpq-56wg
PyPItensorflow-gpu2.4.3GHSA-r4c4-5fpq-56wg
PyPItensorflow-gpu2.5.1GHSA-r4c4-5fpq-56wg

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:L/A:H

References