Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37669Crash in NMS ops 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 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 93.0% 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 cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. 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-2021-291
PyPItensorflow2.3.4GHSA-vmjw-c2vp-p33c
PyPItensorflow2.4.3GHSA-vmjw-c2vp-p33c
PyPItensorflow2.5.1GHSA-vmjw-c2vp-p33c
PyPItensorflow-cpu2.4.3GHSA-vmjw-c2vp-p33c
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-582
PyPItensorflow-cpu2.3.4GHSA-vmjw-c2vp-p33c
PyPItensorflow-cpu2.5.1GHSA-vmjw-c2vp-p33c
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-780
PyPItensorflow-gpu2.3.4GHSA-vmjw-c2vp-p33c
PyPItensorflow-gpu2.4.3GHSA-vmjw-c2vp-p33c
PyPItensorflow-gpu2.5.1GHSA-vmjw-c2vp-p33c

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