Ecosyste.ms: Advisories

Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXBtcHItNTVmai1yMjI5

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

Impact

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

const int rank = params->rank;
...
TF_LITE_ENSURE_EQ(context, num_filters % rank, 0);

An attacker can craft a model such that params->rank would be 0.

Patches

We have patched the issue in GitHub commit 6841e522a3e7d48706a02e8819836e809f738682.

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-pmpr-55fj-r229
JSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLXBtcHItNTVmai1yMjI5
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-pmpr-55fj-r229, CVE-2021-29598
References:

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pmpr-55fj-r229
• https://nvd.nist.gov/vuln/detail/CVE-2021-29598
• https://github.com/tensorflow/tensorflow/commit/6841e522a3e7d48706a02e8819836e809f738682
• https://github.com/advisories/GHSA-pmpr-55fj-r229

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

Affected Packages