TensorFlow up to 2.2.0/2.3.0 dlpack.to_dlpack Argument null pointer dereference

CVSS Meta Temp Score
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CTI Interest Score
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4.7$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, was found in TensorFlow up to 2.2.0/2.3.0. Affected is the function dlpack.to_dlpack. Such manipulation as part of Argument leads to null pointer dereference. This vulnerability is documented as CVE-2020-15191. The attack can be executed remotely. There is not any exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in TensorFlow up to 2.2.0/2.3.0 (Artificial Intelligence Software) and classified as problematic. Affected by this issue is the function dlpack.to_dlpack. The manipulation as part of a Argument leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. Impacted is availability. CVE summarizes:

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

The weakness was released 09/25/2020 (GitHub Repository). The advisory is shared for download at github.com. This vulnerability is handled as CVE-2020-15191 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 2.2.1 or 2.3.1 eliminates this vulnerability.

Entries connected to this vulnerability are available at VDB-162000, VDB-161999, VDB-161998 and VDB-161997. Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.0

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

NVD Base Score: 5.3
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Null pointer dereference
CWE: CWE-476 / CWE-404
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 2.2.1/2.3.1

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-2020-15191 (🔍)
GCVE (CVE): GCVE-0-2020-15191
GCVE (VulDB): GCVE-100-161996
See also: 🔍

Entryinfo

Created: 09/26/2020 07:21
Updated: 11/14/2020 11:26
Changes: 09/26/2020 07:21 (40), 09/26/2020 07:26 (12), 11/13/2020 07:55 (1), 11/14/2020 11:19 (1), 11/14/2020 11:26 (1)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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