Ecosyste.ms: Advisories

Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXZmOTQtMzZnNS02OXY4

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

Impact

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

const int block_size = params->block_size;
...
const int input_channels = input->dims->data[3];
... 
int output_channels = input_channels / block_size / block_size;

An attacker can craft a model such that params->block_size is 0.

Patches

We have patched the issue in GitHub commit 106d8f4fb89335a2c52d7c895b7a7485465ca8d9.

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-vf94-36g5-69v8
JSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXZmOTQtMzZnNS02OXY4
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Low
Classification: General
Published: about 2 years ago
Updated: 4 months 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-vf94-36g5-69v8, CVE-2021-29595
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vf94-36g5-69v8
• https://nvd.nist.gov/vuln/detail/CVE-2021-29595
• https://github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9
• https://github.com/advisories/GHSA-vf94-36g5-69v8

Affected Packages