TensorFlow up to 2.3.x Large Value tf.image.crop_and_resize boxes memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability was found in TensorFlow up to 2.3.x. It has been classified as problematic. This affects the function tf.image.crop_and_resize of the component Large Value Handler. Performing a manipulation of the argument boxes results in memory corruption. This vulnerability was named CVE-2020-15266. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as problematic has been found in TensorFlow up to 2.3.x (Artificial Intelligence Software). This affects the function tf.image.crop_and_resize of the component Large Value Handler. The manipulation of the argument boxes with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on availability.

The weakness was presented 10/23/2020. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2020-15266. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available.

Upgrading to version 2.4.0 eliminates this vulnerability. Applying the patch eccb7ec454e6617738554a255d77f08e60ee0808 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.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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: 6.3

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

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: 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 2.4.0
Patch: eccb7ec454e6617738554a255d77f08e60ee0808

Timelineinfo

06/25/2020 🔍
10/23/2020 +120 days 🔍
10/23/2020 +0 days 🔍
11/25/2020 +33 days 🔍

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2020-15266 (🔍)
GCVE (CVE): GCVE-0-2020-15266
GCVE (VulDB): GCVE-100-163413

Entryinfo

Created: 10/23/2020 07:45
Updated: 11/25/2020 19:39
Changes: 10/23/2020 07:45 (41), 11/25/2020 19:32 (3), 11/25/2020 19:39 (19)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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