CVE-2023-25661
CVSS V2 None
CVSS V3 None
Description
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.
Overview
- CVE ID
- CVE-2023-25661
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2023-03-27T20:15:09
- Last Modified Date
- 2023-04-03T16:19:24
Weakness Enumerations
CPE Configuration (Product)
| CPE | Vulnerable | Operator | Version Start | Version End |
|---|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.11.1 |
References
| Reference URL | Reference Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2 | Patch |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq | Exploit Patch Vendor Advisory |
Sources
| Source Name | Source URL |
|---|---|
| NIST | https://nvd.nist.gov/vuln/detail/CVE-2023-25661 |
| MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25661 |
History
| Created | Old Value | New Value | Data Type | Notes |
|---|---|---|---|---|
| 2023-04-17 03:33:26 | Added to TrackCVE | |||
| 2023-04-17 03:33:28 | Weakness Enumeration | new |