OpenEXR up to 2.4.0 handleDeepFrameBuffer/readSampleCountForLineBlock integer overflow

CVSS Meta Temp Score
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability was found in OpenEXR up to 2.4.0. It has been classified as critical. This vulnerability affects the function CompositeDeepScanLine::Data::handleDeepFrameBuffer/readSampleCountForLineBlock. Performing a manipulation results in integer overflow. This vulnerability was named CVE-2020-11759. The attack needs to be approached locally. There is no available exploit. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in OpenEXR up to 2.4.0. It has been classified as critical. This affects the function CompositeDeepScanLine::Data::handleDeepFrameBuffer/readSampleCountForLineBlock. The manipulation with an unknown input leads to a integer overflow vulnerability. CWE is classifying the issue as CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

An issue was discovered in OpenEXR before 2.4.1. Because of integer overflows in CompositeDeepScanLine::Data::handleDeepFrameBuffer and readSampleCountForLineBlock, an attacker can write to an out-of-bounds pointer.

The weakness was presented 04/14/2020. This vulnerability is uniquely identified as CVE-2020-11759 since 04/14/2020. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 2.4.1 eliminates this vulnerability.

See VDB-153127, VDB-153126, VDB-153125 and VDB-153124 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.3

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

NVD Base Score: 5.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Integer overflow
CWE: CWE-190 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
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: OpenEXR 2.4.1

Timelineinfo

04/14/2020 🔍
04/14/2020 +0 days 🔍
04/15/2020 +1 days 🔍
05/09/2025 +1850 days 🔍

Sourcesinfo

Advisory: USN-4339-1
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2020-11759 (🔍)
GCVE (CVE): GCVE-0-2020-11759
GCVE (VulDB): GCVE-100-153123
See also: 🔍

Entryinfo

Created: 04/15/2020 08:08
Updated: 05/09/2025 08:54
Changes: 04/15/2020 08:08 (37), 04/15/2020 08:13 (17), 10/09/2020 16:08 (1), 05/19/2024 07:14 (20), 05/09/2025 08:54 (5)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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