TensorFlow up to 2.3.0 SparseFillEmptyRowsGrad heap-based overflow

CVSS Meta Temp Score
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CTI Interest Score
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7.0$0-$5k0.00

Summaryinfo

A vulnerability was found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0. It has been declared as critical. This vulnerability affects the function SparseFillEmptyRowsGrad. The manipulation results in heap-based overflow. This vulnerability is known as CVE-2020-15195. It is possible to launch the attack remotely. No exploit is available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical has been found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0 (Artificial Intelligence Software). Affected is the function SparseFillEmptyRowsGrad. The manipulation with an unknown input leads to a heap-based overflow vulnerability. CWE is classifying the issue as CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, 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 published 09/25/2020 (GitHub Repository). The advisory is shared for download at github.com. This vulnerability is traded as CVE-2020-15195 since 06/25/2020. It is possible to launch the attack remotely. Required for exploitation is a authentication. 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 390611e0d45c5793c7066110af37c8514e6a6c54 is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.

Similar entries are available at VDB-162004, VDB-162003, VDB-162002 and VDB-162001. 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: 7.9
VulDB Meta Temp Score: 7.5

VulDB Base Score: 7.4
VulDB Temp Score: 6.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.5
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Heap-based overflow
CWE: CWE-122 / CWE-119
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: 390611e0d45c5793c7066110af37c8514e6a6c54

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-2020-15195 (🔍)
GCVE (CVE): GCVE-0-2020-15195
GCVE (VulDB): GCVE-100-162000
See also: 🔍

Entryinfo

Created: 09/26/2020 07:23
Updated: 11/14/2020 12:11
Changes: 09/26/2020 07:23 (40), 09/26/2020 07:28 (12), 11/14/2020 12:02 (1), 11/14/2020 12:11 (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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