VDB-165997 · CVE-2020-26270 · GCVE-0-2020-26270

TensorFlow up to 2.3.1 LSTM/GRU 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 classified as problematic has been found in TensorFlow up to 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1. The impacted element is an unknown function of the component LSTM/GRU. This manipulation causes denial of service. This vulnerability is tracked as CVE-2020-26270. The attack is restricted to local execution. No exploit exists. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic was found in TensorFlow up to 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1 (Artificial Intelligence Software). Affected by this vulnerability is some unknown processing of the component LSTM/GRU. The manipulation with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability.

The weakness was disclosed 12/11/2020. The advisory is shared at github.com. This vulnerability is known as CVE-2020-26270. Neither technical details nor an exploit are publicly available.

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
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

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-2020-26270 (🔍)
GCVE (CVE): GCVE-0-2020-26270
GCVE (VulDB): GCVE-100-165997

Entryinfo

Created: 12/11/2020 08:29
Updated: 12/15/2020 18:29
Changes: 12/11/2020 08:29 (39), 12/15/2020 18:22 (6), 12/15/2020 18:29 (1)
Complete: 🔍
Cache ID: 216::103