CVE-2025-46393: CWE-131 Incorrect Calculation of Buffer Size in ImageMagick ImageMagick
In multispectral MIFF image processing in ImageMagick before 7.1.1-44, packet_size is mishandled (related to the rendering of all channels in an arbitrary order).
AI Analysis
Technical Summary
CVE-2025-46393 is a medium-severity vulnerability identified in ImageMagick, a widely used open-source software suite for image manipulation. The flaw pertains specifically to the multispectral MIFF (Magick Image File Format) image processing component in versions prior to 7.1.1-44. The vulnerability arises from an incorrect calculation of the buffer size (CWE-131) during the handling of the packet_size parameter. This miscalculation is related to the rendering of all image channels in an arbitrary order, which can lead to improper memory allocation. Such a flaw can cause buffer overflows or memory corruption, potentially allowing an attacker to execute arbitrary code, cause a denial of service (application crash), or corrupt data. The vulnerability does not require user interaction or authentication, as it can be triggered by processing a specially crafted MIFF image file. Although no known exploits are currently reported in the wild, the nature of the vulnerability and the widespread use of ImageMagick in web services, content management systems, and image processing pipelines make it a significant concern. The absence of a patch at the time of reporting further increases the risk for organizations relying on vulnerable versions. The vulnerability affects all versions before 7.1.1-44, which includes a broad range of deployments given ImageMagick's long-standing presence and integration in many software stacks.
Potential Impact
For European organizations, the impact of this vulnerability can be substantial. ImageMagick is commonly used in web servers, cloud services, and enterprise applications that handle image uploads and processing. Exploitation could lead to remote code execution or denial of service, compromising the confidentiality, integrity, and availability of affected systems. This can result in data breaches, service outages, and potential lateral movement within networks. Organizations in sectors such as finance, healthcare, media, and government, which often process large volumes of images or rely on automated image workflows, are particularly at risk. The vulnerability could be exploited to bypass security controls or disrupt critical services, impacting business continuity and regulatory compliance (e.g., GDPR). Additionally, the arbitrary channel rendering order increases the complexity of detection and mitigation, potentially allowing sophisticated attackers to evade standard defenses.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should prioritize upgrading ImageMagick to version 7.1.1-44 or later as soon as it becomes available. In the interim, organizations should implement strict input validation and sanitization for all image uploads, especially those accepting MIFF format files. Employing application-layer firewalls or web application firewalls (WAFs) with custom rules to detect and block malformed MIFF images can reduce exposure. Restricting image processing to trusted sources and disabling support for less commonly used image formats like MIFF where feasible can further minimize risk. Monitoring logs for unusual crashes or memory errors related to image processing components can aid in early detection of exploitation attempts. Additionally, sandboxing image processing tasks and running them with least privilege can limit the impact of a successful exploit. Organizations should also review and update incident response plans to include scenarios involving image processing vulnerabilities.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium, Poland, Switzerland
CVE-2025-46393: CWE-131 Incorrect Calculation of Buffer Size in ImageMagick ImageMagick
Description
In multispectral MIFF image processing in ImageMagick before 7.1.1-44, packet_size is mishandled (related to the rendering of all channels in an arbitrary order).
AI-Powered Analysis
Technical Analysis
CVE-2025-46393 is a medium-severity vulnerability identified in ImageMagick, a widely used open-source software suite for image manipulation. The flaw pertains specifically to the multispectral MIFF (Magick Image File Format) image processing component in versions prior to 7.1.1-44. The vulnerability arises from an incorrect calculation of the buffer size (CWE-131) during the handling of the packet_size parameter. This miscalculation is related to the rendering of all image channels in an arbitrary order, which can lead to improper memory allocation. Such a flaw can cause buffer overflows or memory corruption, potentially allowing an attacker to execute arbitrary code, cause a denial of service (application crash), or corrupt data. The vulnerability does not require user interaction or authentication, as it can be triggered by processing a specially crafted MIFF image file. Although no known exploits are currently reported in the wild, the nature of the vulnerability and the widespread use of ImageMagick in web services, content management systems, and image processing pipelines make it a significant concern. The absence of a patch at the time of reporting further increases the risk for organizations relying on vulnerable versions. The vulnerability affects all versions before 7.1.1-44, which includes a broad range of deployments given ImageMagick's long-standing presence and integration in many software stacks.
Potential Impact
For European organizations, the impact of this vulnerability can be substantial. ImageMagick is commonly used in web servers, cloud services, and enterprise applications that handle image uploads and processing. Exploitation could lead to remote code execution or denial of service, compromising the confidentiality, integrity, and availability of affected systems. This can result in data breaches, service outages, and potential lateral movement within networks. Organizations in sectors such as finance, healthcare, media, and government, which often process large volumes of images or rely on automated image workflows, are particularly at risk. The vulnerability could be exploited to bypass security controls or disrupt critical services, impacting business continuity and regulatory compliance (e.g., GDPR). Additionally, the arbitrary channel rendering order increases the complexity of detection and mitigation, potentially allowing sophisticated attackers to evade standard defenses.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should prioritize upgrading ImageMagick to version 7.1.1-44 or later as soon as it becomes available. In the interim, organizations should implement strict input validation and sanitization for all image uploads, especially those accepting MIFF format files. Employing application-layer firewalls or web application firewalls (WAFs) with custom rules to detect and block malformed MIFF images can reduce exposure. Restricting image processing to trusted sources and disabling support for less commonly used image formats like MIFF where feasible can further minimize risk. Monitoring logs for unusual crashes or memory errors related to image processing components can aid in early detection of exploitation attempts. Additionally, sandboxing image processing tasks and running them with least privilege can limit the impact of a successful exploit. Organizations should also review and update incident response plans to include scenarios involving image processing vulnerabilities.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2025-04-23T00:00:00.000Z
- Cisa Enriched
- true
Threat ID: 682d9847c4522896dcbf5735
Added to database: 5/21/2025, 9:09:27 AM
Last enriched: 6/22/2025, 7:51:22 AM
Last updated: 8/11/2025, 7:19:16 AM
Views: 14
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