CVE-2024-28579: n/a
Buffer Overflow vulnerability in open source FreeImage v.3.19.0 [r1909] allows a local attacker to cause a denial of service (DoS) via the FreeImage_Unload() function when reading images in HDR format.
AI Analysis
Technical Summary
CVE-2024-28579 identifies a buffer overflow vulnerability in the FreeImage open source library, specifically version 3.19.0 [r1909]. The flaw resides in the FreeImage_Unload() function, which is responsible for releasing resources associated with loaded images. When handling images in the High Dynamic Range (HDR) format, improper bounds checking or memory management leads to a buffer overflow condition. This vulnerability can be triggered by a local attacker who has access to the system and can supply a crafted HDR image to the application using FreeImage. Exploiting this flaw causes a denial of service by crashing the application or potentially destabilizing the host process. The vulnerability does not allow for privilege escalation, remote code execution, or data leakage, as it only impacts availability. The CVSS v3.1 score of 6.2 reflects a medium severity level, with attack vector local, low attack complexity, no privileges required, no user interaction, and impact limited to availability. No patches or fixes have been linked yet, and no known exploits have been observed in the wild. The vulnerability is classified under CWE-125 (Out-of-bounds Read), indicating improper validation of memory access. This issue is relevant for any software or systems that incorporate FreeImage 3.19.0 for HDR image processing, including desktop applications, automated image processing tools, or embedded systems that rely on this library for image manipulation.
Potential Impact
The primary impact of CVE-2024-28579 is denial of service, which can disrupt normal operations of applications relying on FreeImage to process HDR images. This can lead to application crashes or system instability, potentially affecting user productivity or automated workflows. Since exploitation requires local access, remote attackers cannot directly leverage this vulnerability unless they have already compromised a local account. The absence of confidentiality or integrity impact limits the risk to data theft or tampering. However, in environments where image processing is critical—such as media production, scientific imaging, or automated content pipelines—repeated crashes could cause significant operational disruptions. Systems that run unattended batch jobs or services using FreeImage may experience downtime or require manual intervention to recover. The lack of known exploits reduces immediate risk, but the presence of a publicly known vulnerability may attract attackers to develop exploits, especially if FreeImage is widely deployed in certain sectors.
Mitigation Recommendations
Organizations should first identify all instances where FreeImage version 3.19.0 [r1909] is used, particularly in applications processing HDR images. Until an official patch is released, consider the following mitigations: (1) Restrict local access to trusted users only, minimizing the risk of local exploitation. (2) Implement application-level input validation to detect and reject malformed or suspicious HDR images before they reach FreeImage processing. (3) Employ sandboxing or containerization to isolate applications using FreeImage, limiting the impact of potential crashes. (4) Monitor application logs and system stability for signs of crashes or abnormal behavior related to image processing. (5) Engage with the FreeImage community or maintainers to track the release of patches or updates addressing this vulnerability. (6) If feasible, temporarily disable HDR image processing or switch to alternative libraries until a fix is available. (7) Conduct regular backups and ensure recovery procedures are in place to minimize downtime caused by DoS conditions.
Affected Countries
United States, Germany, Japan, South Korea, France, United Kingdom, Canada, Australia, China, India
CVE-2024-28579: n/a
Description
Buffer Overflow vulnerability in open source FreeImage v.3.19.0 [r1909] allows a local attacker to cause a denial of service (DoS) via the FreeImage_Unload() function when reading images in HDR format.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-28579 identifies a buffer overflow vulnerability in the FreeImage open source library, specifically version 3.19.0 [r1909]. The flaw resides in the FreeImage_Unload() function, which is responsible for releasing resources associated with loaded images. When handling images in the High Dynamic Range (HDR) format, improper bounds checking or memory management leads to a buffer overflow condition. This vulnerability can be triggered by a local attacker who has access to the system and can supply a crafted HDR image to the application using FreeImage. Exploiting this flaw causes a denial of service by crashing the application or potentially destabilizing the host process. The vulnerability does not allow for privilege escalation, remote code execution, or data leakage, as it only impacts availability. The CVSS v3.1 score of 6.2 reflects a medium severity level, with attack vector local, low attack complexity, no privileges required, no user interaction, and impact limited to availability. No patches or fixes have been linked yet, and no known exploits have been observed in the wild. The vulnerability is classified under CWE-125 (Out-of-bounds Read), indicating improper validation of memory access. This issue is relevant for any software or systems that incorporate FreeImage 3.19.0 for HDR image processing, including desktop applications, automated image processing tools, or embedded systems that rely on this library for image manipulation.
Potential Impact
The primary impact of CVE-2024-28579 is denial of service, which can disrupt normal operations of applications relying on FreeImage to process HDR images. This can lead to application crashes or system instability, potentially affecting user productivity or automated workflows. Since exploitation requires local access, remote attackers cannot directly leverage this vulnerability unless they have already compromised a local account. The absence of confidentiality or integrity impact limits the risk to data theft or tampering. However, in environments where image processing is critical—such as media production, scientific imaging, or automated content pipelines—repeated crashes could cause significant operational disruptions. Systems that run unattended batch jobs or services using FreeImage may experience downtime or require manual intervention to recover. The lack of known exploits reduces immediate risk, but the presence of a publicly known vulnerability may attract attackers to develop exploits, especially if FreeImage is widely deployed in certain sectors.
Mitigation Recommendations
Organizations should first identify all instances where FreeImage version 3.19.0 [r1909] is used, particularly in applications processing HDR images. Until an official patch is released, consider the following mitigations: (1) Restrict local access to trusted users only, minimizing the risk of local exploitation. (2) Implement application-level input validation to detect and reject malformed or suspicious HDR images before they reach FreeImage processing. (3) Employ sandboxing or containerization to isolate applications using FreeImage, limiting the impact of potential crashes. (4) Monitor application logs and system stability for signs of crashes or abnormal behavior related to image processing. (5) Engage with the FreeImage community or maintainers to track the release of patches or updates addressing this vulnerability. (6) If feasible, temporarily disable HDR image processing or switch to alternative libraries until a fix is available. (7) Conduct regular backups and ensure recovery procedures are in place to minimize downtime caused by DoS conditions.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-03-08T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6d93b7ef31ef0b588d34
Added to database: 2/25/2026, 9:45:55 PM
Last enriched: 2/28/2026, 10:23:58 AM
Last updated: 4/12/2026, 7:54:49 AM
Views: 8
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