Ecosyste.ms: Advisories

Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXJmM2gteGd2NS0ycTM5

Division by zero in TFLite's implementation of `DepthwiseConv`

Impact

The implementation of the DepthwiseConv TFLite operator is vulnerable to a division by zero error:

int num_input_channels = SizeOfDimension(input, 3);
TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0);

An attacker can craft a model such that input's fourth dimension would be 0.

Patches

We have patched the issue in GitHub commit cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 members of the Aivul Team from Qihoo 360.

Permalink: https://github.com/advisories/GHSA-rf3h-xgv5-2q39
JSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXJmM2gteGd2NS0ycTM5
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Low
Classification: General
Published: almost 3 years ago
Updated: about 1 year ago

CVSS Score: 2.5
CVSS vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Identifiers: GHSA-rf3h-xgv5-2q39, CVE-2021-29602
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rf3h-xgv5-2q39
• https://nvd.nist.gov/vuln/detail/CVE-2021-29602
• https://github.com/tensorflow/tensorflow/commit/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0
• https://github.com/advisories/GHSA-rf3h-xgv5-2q39

Repository: https://github.com/tensorflow/tensorflow
Blast Radius: 12.2

Affected Packages