2021-37677 | Google TensorFlow tf.raw_ops.Dequantize denial of service

By Max On Aug 18, 2021

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
4.1	$0-$5k	0.59

A vulnerability has been found in Google TensorFlow up to 2.3.3/2.4.2/2.5.0 (Artificial Intelligence Software) and classified as problematic. Affected by this vulnerability is the function tf.raw_ops.Dequantize. The manipulation with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. As an impact it is known to affect availability. The summary by CVE is:

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

The weakness was disclosed 08/13/2021. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2021-37677 since 07/29/2021. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn’t need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/18/2021). The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

Upgrading to version 2.3.4, 2.4.3, 2.5.1 or 2.6.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Type

Vendor

Name

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

AV	AC	Au	C	I	A
🔍	🔍	🔍	🔍	🔍	🔍
🔍	🔍	🔍	🔍	🔍	🔍
🔍	🔍	🔍	🔍	🔍	🔍

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
unlock	unlock	unlock	unlock	unlock	unlock
unlock	unlock	unlock	unlock	unlock	unlock
unlock	unlock	unlock	unlock	unlock	unlock

VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Class: Denial of service
CWE: CWE-404
ATT&CK: T1499

Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

Price Prediction: 🔍
Current Price Estimation: 🔒

0-Day	unlock	unlock	unlock	unlock
Today	unlock	unlock	unlock	unlock

Threat Intelligenceinfoedit

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: TensorFlow 2.3.4/2.4.3/2.5.1/2.6.0
Patch: github.com

07/29/2021 CVE assigned
08/13/2021 +15 days Advisory disclosed
08/13/2021 +0 days VulDB entry created
08/18/2021 +4 days VulDB last updateVendor: https://www.google.com/

Advisory: github.com
Status: Confirmed
Confirmation: 🔒

CVE: CVE-2021-37677 (🔒)

Created: 08/13/2021 07:44
Updated: 08/18/2021 01:24
Changes: (1) source_cve_cna
Complete: 🔍

Comments

Download it now for free!

Source link