VDB-165995 · CVE-2020-26268 · GCVE-0-2020-26268

TensorFlow up to 2.3.1 Python Interpreter tf.raw_ops.ImmutableConst denial of service

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.
3.2	$0-$5k	0.00

Summaryinfo

A vulnerability marked as problematic has been reported in TensorFlow up to 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1. Impacted is the function tf.raw_ops.ImmutableConst of the component Python Interpreter. The manipulation leads to denial of service. This vulnerability is referenced as CVE-2020-26268. The attack can only be performed from a local environment. No exploit is available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in TensorFlow up to 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1 (Artificial Intelligence Software). It has been rated as problematic. This issue affects the function tf.raw_ops.ImmutableConst of the component Python Interpreter. The manipulation with an unknown input leads to a denial of service vulnerability. Using CWE to declare the problem leads to CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. Impacted is availability.

The weakness was published 12/11/2020. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2020-26268. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2 or 2.4.0 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.

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Productinfo

Type

Artificial Intelligence Software

Name

TensorFlow

Version

License

free

Website

Product: https://github.com/tensorflow/tensorflow/

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.3
VulDB Meta Temp Score: 3.2

VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Denial of service
CWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: TensorFlow 1.15.5/2.0.4/2.1.3/2.2.2/2.3.2/2.4.0
Patch: github.com

Timelineinfo

10/01/2020 🔍
12/11/2020 +71 days 🔍
12/11/2020 +0 days 🔍
12/15/2020 +4 days 🔍

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2020-26268 (🔍)
GCVE (CVE): GCVE-0-2020-26268
GCVE (VulDB): GCVE-100-165995

Entryinfo

Created: 12/11/2020 08:26
Updated: 12/15/2020 18:12
Changes: 12/11/2020 08:26 (40), 12/15/2020 18:07 (6), 12/15/2020 18:12 (1)
Complete: 🔍
Cache ID: 216::103