Exiv2 up to 0.27.1 PNG File parseChunkContent Image File resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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5.4$0-$5k0.00

Summaryinfo

A vulnerability was found in Exiv2 up to 0.27.1. It has been classified as problematic. This vulnerability affects the function PngChunk::parseChunkContent of the component PNG File Handler. This manipulation as part of Image File causes resource consumption. This vulnerability is tracked as CVE-2019-13112. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as problematic was found in Exiv2 up to 0.27.1 (Image Processing Software). Affected by this vulnerability is the function PngChunk::parseChunkContent of the component PNG File Handler. The manipulation as part of a Image File leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability. The summary by CVE is:

A PngChunk::parseChunkContent uncontrolled memory allocation in Exiv2 through 0.27.1 allows an attacker to cause a denial of service (crash due to an std::bad_alloc exception) via a crafted PNG image file.

The weakness was disclosed 06/30/2019 (Website). It is possible to read the advisory at lists.fedoraproject.org. This vulnerability is known as CVE-2019-13112 since 06/30/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The entries VDB-137104, VDB-137105, VDB-137103 and VDB-137106 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality 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: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / 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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Patch: github.com

Timelineinfo

06/30/2019 🔍
06/30/2019 +0 days 🔍
07/01/2019 +1 days 🔍
10/09/2023 +1561 days 🔍

Sourcesinfo

Product: github.com

Advisory: 845
Status: Not defined

CVE: CVE-2019-13112 (🔍)
GCVE (CVE): GCVE-0-2019-13112
GCVE (VulDB): GCVE-100-137107
See also: 🔍

Entryinfo

Created: 07/01/2019 07:08
Updated: 10/09/2023 16:17
Changes: 07/01/2019 07:08 (56), 06/29/2020 12:09 (1), 10/09/2023 16:10 (4), 10/09/2023 16:17 (1)
Complete: 🔍
Cache ID: 216::103

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