ImageMagick up to 7.1.2-0 ReadOneMNGIMage heap-based overflow

CVSS Meta Temp Score
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CTI Interest Score
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6.0$0-$5k0.00

Summaryinfo

A vulnerability has been found in ImageMagick up to 7.1.2-0 and classified as critical. The impacted element is the function ReadOneMNGIMage. The manipulation leads to heap-based overflow. This vulnerability is documented as CVE-2025-55004. The attack can be initiated remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in ImageMagick up to 7.1.2-0. It has been rated as critical. This issue affects the function ReadOneMNGIMage. The manipulation with an unknown input leads to a heap-based overflow vulnerability. Using CWE to declare the problem leads to 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(). Impacted is confidentiality, integrity, and availability. The summary by CVE is:

ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to version 7.1.2-1, ImageMagick is vulnerable to heap-buffer overflow read around the handling of images with separate alpha channels when performing image magnification in ReadOneMNGIMage. This can likely be used to leak subsequent memory contents into the output image. This issue has been patched in version 7.1.2-1.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-55004 since 08/04/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful 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.

The vulnerability scanner Nessus provides a plugin with the ID 258076 (ImageMagick < 7.1.2-1 Heap-Buffer Overflow (GHSA-cjc8-g9w8-chfw)), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 7.1.2-1 eliminates this vulnerability.

The vulnerability is also documented in the databases at Tenable (258076) and CERT Bund (WID-SEC-2025-1813). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Affected

  • Debian Linux
  • Amazon Linux 2
  • Red Hat Enterprise Linux
  • Ubuntu Linux
  • SUSE Linux
  • Oracle Linux
  • IGEL OS
  • SUSE openSUSE
  • Open Source ImageMagick

Productinfo

Type

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.1
VulDB Meta Temp Score: 6.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 4.3
NVD Vector: 🔒

CNA Base Score: 7.6
CNA Vector (GitHub_M): 🔒

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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Nessus ID: 258076
Nessus Name: ImageMagick < 7.1.2-1 Heap-Buffer Overflow (GHSA-cjc8-g9w8-chfw)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: ImageMagick 7.1.2-1

Timelineinfo

08/04/2025 CVE reserved
08/13/2025 +9 days Advisory disclosed
08/13/2025 +0 days VulDB entry created
10/06/2025 +54 days VulDB entry last update

Sourcesinfo

Product: imagemagick.org

Advisory: github.com
Status: Confirmed

CVE: CVE-2025-55004 (🔒)
GCVE (CVE): GCVE-0-2025-55004
GCVE (VulDB): GCVE-100-319931
CERT Bund: WID-SEC-2025-1813 - ImageMagick: Mehrere Schwachstellen

Entryinfo

Created: 08/13/2025 16:18
Updated: 10/06/2025 14:49
Changes: 08/13/2025 16:18 (64), 08/16/2025 04:28 (12), 08/25/2025 09:21 (7), 08/29/2025 01:32 (2), 09/07/2025 03:38 (1), 09/14/2025 09:42 (1), 10/06/2025 14:49 (1)
Complete: 🔍
Cache ID: 216::103

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

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