VDB-165993 · CVE-2020-26266 · GCVE-0-2020-26266

TensorFlow up to 2.3.1 Model uninitialized resource

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.
5.1	$0-$5k	0.00

Summaryinfo

A vulnerability identified as problematic has been detected in TensorFlow up to 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1. This vulnerability affects unknown code of the component Model Handler. Performing a manipulation results in uninitialized resource. This vulnerability was named CVE-2020-26266. The attack needs to be approached locally. There is no available exploit. You should 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 classified as problematic. This affects some unknown functionality of the component Model Handler. The manipulation with an unknown input leads to a uninitialized resource vulnerability. CWE is classifying the issue as CWE-908. The product uses or accesses a resource that has not been initialized. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was presented 12/11/2020. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2020-26266. 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.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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: 5.3
VulDB Meta Temp Score: 5.1

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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: 🔍

Exploitinginfo

Class: Uninitialized resource
CWE: CWE-908
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-2020-26266 (🔍)
GCVE (CVE): GCVE-0-2020-26266
GCVE (VulDB): GCVE-100-165993

Entryinfo

Created: 12/11/2020 08:24
Updated: 12/15/2020 17:55
Changes: 12/11/2020 08:24 (38), 12/15/2020 17:50 (6), 12/15/2020 17:55 (1)
Complete: 🔍
Cache ID: 216::103