Ecosyste.ms: Advisories

Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLThybTYtNzVtZi03cjdy

Division by zero in TFLite's implementation of hashtable lookup

Impact

The TFLite implementation of hashtable lookup is vulnerable to a division by zero error:

const int num_rows = SizeOfDimension(value, 0); 
const int row_bytes = value->bytes / num_rows; 

An attacker can craft a model such that values's first dimension would be 0.

Patches

We have patched the issue in GitHub commit 5117e0851348065ed59c991562c0ec80d9193db2.

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-8rm6-75mf-7r7r
JSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLThybTYtNzVtZi03cjdy
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-8rm6-75mf-7r7r, CVE-2021-29604
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r
• https://nvd.nist.gov/vuln/detail/CVE-2021-29604
• https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2
• https://github.com/advisories/GHSA-8rm6-75mf-7r7r

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

Affected Packages