| |
Vulnerability CVE-2020-15206
Published: 2020-09-25
Description: |
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. |
Type:
CWE-20 (Improper Input Validation)
CVSS2 => (AV:N/AC:L/Au:N/C:N/I:N/A:P)
CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
5/10 |
2.9/10 |
10/10 |
Exploit range |
Attack complexity |
Authentication |
Remote |
Low |
No required |
Confidentiality impact |
Integrity impact |
Availability impact |
None |
None |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g
|
|
|
Copyright 2024, cxsecurity.com
|
|
|