TensorFlow up to 2.3.0 tf.strings.as_string fill input validation

CVSS Meta Temp Score
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CTI Interest Score
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5.6$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic was found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0. Affected by this vulnerability is an unknown functionality of the file tf.strings.as_string. Such manipulation of the argument fill as part of Argument leads to input validation. This vulnerability is listed as CVE-2020-15203. The attack may be performed from remote. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0 (Artificial Intelligence Software). It has been rated as problematic. Affected by this issue is an unknown function of the file tf.strings.as_string. The manipulation of the argument fill as part of a Argument leads to a input validation vulnerability. Using CWE to declare the problem leads to CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. Impacted is availability. CVE summarizes:

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

The weakness was presented 09/25/2020 (GitHub Repository). The advisory is shared for download at github.com. This vulnerability is handled as CVE-2020-15203 since 06/25/2020. The attack may be launched remotely. No form of authentication is required for exploitation. There are known technical details, but no exploit is available.

Upgrading to version 1.15.4, 2.0.3, 2.1.2, 2.2.1 or 2.3.1 eliminates this vulnerability. Applying the patch 33be22c65d86256e6826666662e40dbdfe70ee83 is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.

See VDB-162012, VDB-162011, VDB-162010 and VDB-162009 for similar entries. VulDB is the best source for vulnerability data and more expert information about this specific topic.

Productinfo

Type

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.1

VulDB Base Score: 5.3
VulDB Temp Score: 4.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Input validation
CWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: TensorFlow 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1
Patch: 33be22c65d86256e6826666662e40dbdfe70ee83

Timelineinfo

06/25/2020 🔍
09/25/2020 +92 days 🔍
09/26/2020 +1 days 🔍
11/14/2020 +49 days 🔍

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2020-15203 (🔍)
GCVE (CVE): GCVE-0-2020-15203
GCVE (VulDB): GCVE-100-162008
See also: 🔍

Entryinfo

Created: 09/26/2020 07:30
Updated: 11/14/2020 13:45
Changes: 09/26/2020 07:30 (42), 09/26/2020 07:35 (12), 11/13/2020 07:56 (1), 11/14/2020 13:36 (1), 11/14/2020 13:45 (1)
Complete: 🔍
Cache ID: 216::103

VulDB is the best source for vulnerability data and more expert information about this specific topic.

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