ImageMagick 7.0.7-22 Q16 coders/dcm.c ReadDCMImage resource management

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 ImageMagick 7.0.7-22 Q16. It has been rated as problematic. Affected is the function ReadDCMImage of the file coders/dcm.c. Performing a manipulation results in resource management. This vulnerability is known as CVE-2018-5357. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as problematic has been found in ImageMagick 7.0.7-22 Q16 (Image Processing Software). This affects the function ReadDCMImage of the file coders/dcm.c. The manipulation with an unknown input leads to a resource management vulnerability. CWE is classifying the issue as CWE-399. This is going to have an impact on availability. The summary by CVE is:

ImageMagick 7.0.7-22 Q16 has memory leaks in the ReadDCMImage function in coders/dcm.c.

The bug was discovered 01/12/2018. The weakness was published 01/12/2018 by Security Team (GitHub Repository). The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2018-5357 since 01/12/2018. 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 are known, but no exploit is available.

The vulnerability scanner Nessus provides a plugin with the ID 107116 (SUSE SLED12 / SLES12 Security Update : ImageMagick (SUSE-SU-2018:0581-1)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family SuSE Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 170918 (OpenSUSE Security Update for ImageMagick (openSUSE-SU-2018:0621-1)).

Upgrading eliminates this vulnerability. A possible mitigation has been published 2 months after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (107116) and SecurityFocus (BID 102497†). Similar entries are available at VDB-104966 and VDB-111113. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.1

VulDB Base Score: 4.3
VulDB Temp Score: 3.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Resource management
CWE: CWE-399 / 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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Nessus ID: 107116
Nessus Name: SUSE SLED12 / SLES12 Security Update : ImageMagick (SUSE-SU-2018:0581-1)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Timelineinfo

01/12/2018 🔍
01/12/2018 +0 days 🔍
01/12/2018 +0 days 🔍
01/12/2018 +0 days 🔍
01/12/2018 +0 days 🔍
01/13/2018 +1 days 🔍
03/01/2018 +47 days 🔍
03/02/2018 +1 days 🔍
09/11/2024 +2385 days 🔍

Sourcesinfo

Product: imagemagick.org

Advisory: 941
Researcher: Security Team
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-5357 (🔍)
GCVE (CVE): GCVE-0-2018-5357
GCVE (VulDB): GCVE-100-111825

OVAL: 🔍

SecurityFocus: 102497 - ImageMagick CVE-2018-5357 Information Disclosure Vulnerability

See also: 🔍

Entryinfo

Created: 01/13/2018 11:54
Updated: 09/11/2024 22:21
Changes: 01/13/2018 11:54 (72), 12/23/2019 08:13 (7), 01/20/2023 18:20 (4), 01/20/2023 18:29 (1), 09/11/2024 22:21 (18)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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