CVE-2024-28582: n/a
Buffer Overflow vulnerability in open source FreeImage v.3.19.0 [r1909] allows a local attacker to execute arbitrary code via the rgbe_RGBEToFloat() function when reading images in HDR format.
AI Analysis
Technical Summary
CVE-2024-28582 identifies a buffer overflow vulnerability in the FreeImage open source library version 3.19.0, specifically within the rgbe_RGBEToFloat() function responsible for converting HDR image data. This vulnerability arises due to improper bounds checking when processing HDR image files, allowing a local attacker to craft malicious HDR images that trigger a buffer overflow. The overflow can overwrite memory, enabling arbitrary code execution with the privileges of the process using FreeImage. The vulnerability does not require any privileges or user interaction, making it easier to exploit in local attack scenarios. The CVSS 3.1 base score of 8.4 reflects the high impact on confidentiality, integrity, and availability, with low attack complexity and no privileges required. Although no public exploits are known yet, the vulnerability is classified under CWE-121 (Stack-based Buffer Overflow), a common and dangerous class of memory corruption bugs. FreeImage is widely used in various applications for image processing, including media editing tools, embedded systems, and software development, making this vulnerability relevant to many organizations. No official patches or fixes have been released at the time of this report, increasing the urgency for mitigation strategies.
Potential Impact
The vulnerability allows local attackers to execute arbitrary code, potentially leading to full system compromise, data theft, or disruption of services. Since FreeImage is integrated into numerous applications for image processing, exploitation could affect a wide range of software environments, especially those handling HDR images. The high CVSS score indicates severe consequences for confidentiality, integrity, and availability. Organizations relying on FreeImage for media processing, digital content creation, or embedded device imaging are at risk of targeted attacks or accidental exploitation by malicious insiders. The lack of required privileges or user interaction lowers the barrier for exploitation, increasing the threat landscape. This could result in unauthorized access, data corruption, or denial of service, impacting business operations and user trust.
Mitigation Recommendations
Until an official patch is released, organizations should implement strict file handling policies to prevent processing untrusted or unauthenticated HDR images with FreeImage. Employ application whitelisting and sandboxing to limit the execution environment of processes using FreeImage. Monitor system and application logs for unusual behavior or crashes related to image processing. Conduct code audits and update third-party dependencies regularly to identify and remediate vulnerable versions. Consider using alternative image processing libraries that do not exhibit this vulnerability if immediate patching is not feasible. Engage with FreeImage maintainers and subscribe to security advisories for timely patch releases. Implement endpoint protection solutions capable of detecting exploitation attempts targeting buffer overflows. Finally, educate developers and system administrators about safe image handling practices and the risks associated with processing untrusted media files.
Affected Countries
United States, Germany, Japan, South Korea, China, United Kingdom, France, Canada, Australia, India
CVE-2024-28582: n/a
Description
Buffer Overflow vulnerability in open source FreeImage v.3.19.0 [r1909] allows a local attacker to execute arbitrary code via the rgbe_RGBEToFloat() function when reading images in HDR format.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-28582 identifies a buffer overflow vulnerability in the FreeImage open source library version 3.19.0, specifically within the rgbe_RGBEToFloat() function responsible for converting HDR image data. This vulnerability arises due to improper bounds checking when processing HDR image files, allowing a local attacker to craft malicious HDR images that trigger a buffer overflow. The overflow can overwrite memory, enabling arbitrary code execution with the privileges of the process using FreeImage. The vulnerability does not require any privileges or user interaction, making it easier to exploit in local attack scenarios. The CVSS 3.1 base score of 8.4 reflects the high impact on confidentiality, integrity, and availability, with low attack complexity and no privileges required. Although no public exploits are known yet, the vulnerability is classified under CWE-121 (Stack-based Buffer Overflow), a common and dangerous class of memory corruption bugs. FreeImage is widely used in various applications for image processing, including media editing tools, embedded systems, and software development, making this vulnerability relevant to many organizations. No official patches or fixes have been released at the time of this report, increasing the urgency for mitigation strategies.
Potential Impact
The vulnerability allows local attackers to execute arbitrary code, potentially leading to full system compromise, data theft, or disruption of services. Since FreeImage is integrated into numerous applications for image processing, exploitation could affect a wide range of software environments, especially those handling HDR images. The high CVSS score indicates severe consequences for confidentiality, integrity, and availability. Organizations relying on FreeImage for media processing, digital content creation, or embedded device imaging are at risk of targeted attacks or accidental exploitation by malicious insiders. The lack of required privileges or user interaction lowers the barrier for exploitation, increasing the threat landscape. This could result in unauthorized access, data corruption, or denial of service, impacting business operations and user trust.
Mitigation Recommendations
Until an official patch is released, organizations should implement strict file handling policies to prevent processing untrusted or unauthenticated HDR images with FreeImage. Employ application whitelisting and sandboxing to limit the execution environment of processes using FreeImage. Monitor system and application logs for unusual behavior or crashes related to image processing. Conduct code audits and update third-party dependencies regularly to identify and remediate vulnerable versions. Consider using alternative image processing libraries that do not exhibit this vulnerability if immediate patching is not feasible. Engage with FreeImage maintainers and subscribe to security advisories for timely patch releases. Implement endpoint protection solutions capable of detecting exploitation attempts targeting buffer overflows. Finally, educate developers and system administrators about safe image handling practices and the risks associated with processing untrusted media files.
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: 699f6d95b7ef31ef0b588dd8
Added to database: 2/25/2026, 9:45:57 PM
Last enriched: 2/26/2026, 6:25:59 PM
Last updated: 4/12/2026, 3:35:21 PM
Views: 13
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