Ecosyste.ms: Advisories

Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXY1MnAtaGZqZi13Zzg4

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

Impact

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

TF_LITE_ENSURE_EQ(context, final_dim_size % block_shape[dim], 0);
output_size->data[dim + 1] = final_dim_size / block_shape[dim];

An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 0.

Patches

We have patched the issue in GitHub commit 6d36ba65577006affb272335b7c1abd829010708.

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-v52p-hfjf-wg88
JSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXY1MnAtaGZqZi13Zzg4
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-v52p-hfjf-wg88, CVE-2021-29597
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v52p-hfjf-wg88
• https://nvd.nist.gov/vuln/detail/CVE-2021-29597
• https://github.com/tensorflow/tensorflow/commit/6d36ba65577006affb272335b7c1abd829010708
• https://github.com/advisories/GHSA-v52p-hfjf-wg88

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

Affected Packages