CVE-2024-56827: Heap-based Buffer Overflow
A flaw was found in the OpenJPEG project. A heap buffer overflow condition may be triggered when certain options are specified while using the opj_decompress utility. This can lead to an application crash or other undefined behavior.
AI Analysis
Technical Summary
CVE-2024-56827 is a heap-based buffer overflow vulnerability identified in the OpenJPEG project, specifically triggered when certain options are used with the opj_decompress utility. OpenJPEG is an open-source library widely used for encoding and decoding JPEG 2000 images, a format often employed in medical imaging, digital cinema, and geospatial imagery. The vulnerability arises from improper handling of memory buffers on the heap during decompression, which can lead to a buffer overflow condition. This overflow can cause the application to crash or exhibit undefined behavior, potentially leading to denial of service or, in some cases, memory corruption that could be leveraged for further exploitation. The CVSS 3.1 base score of 5.6 reflects a medium severity level, with the vector indicating that exploitation requires local access (AV:L), low attack complexity (AC:L), low privileges (PR:L), and user interaction (UI:R). The impact primarily affects availability (A:H) with limited confidentiality impact (C:L) and no integrity impact (I:N). No known exploits are currently reported in the wild, and no patches or affected versions are specified in the provided data, suggesting that this is a recently disclosed issue still under active investigation or remediation. Given the nature of the vulnerability, it is most relevant to environments where OpenJPEG is used locally or in workflows that involve decompression of JPEG 2000 images with the vulnerable utility and specific options that trigger the overflow.
Potential Impact
For European organizations, the impact of CVE-2024-56827 depends on the extent to which OpenJPEG is integrated into their imaging workflows. Sectors such as healthcare (medical imaging), digital media production, and geospatial analysis are most at risk. An attacker with local access and the ability to induce decompression with the vulnerable options could cause application crashes, leading to denial of service conditions that disrupt critical operations. In healthcare, this could delay diagnostic processes or compromise the availability of medical images. In media and geospatial sectors, it could interrupt content processing or analysis pipelines. Although the confidentiality and integrity impacts are low, the availability disruption could have operational and financial consequences. The requirement for local access and user interaction limits remote exploitation, reducing the risk of widespread attacks but emphasizing the need for internal security controls. Organizations relying on automated image processing systems that use OpenJPEG should be particularly vigilant, as crashes could cascade into broader system instability or data loss.
Mitigation Recommendations
To mitigate this vulnerability effectively, European organizations should: 1) Identify and inventory all systems and applications using OpenJPEG, especially those utilizing the opj_decompress utility. 2) Monitor vendor and community channels for official patches or updates addressing CVE-2024-56827 and apply them promptly once available. 3) Restrict local access to systems handling JPEG 2000 decompression to trusted users only, enforcing strict access controls and user authentication. 4) Implement application whitelisting and privilege restrictions to limit the ability of untrusted users to execute or manipulate the opj_decompress utility with potentially dangerous options. 5) Conduct thorough input validation and sanitization on image files before decompression to prevent malformed or malicious files from triggering the overflow. 6) Employ runtime protections such as heap canaries, address space layout randomization (ASLR), and control flow integrity (CFI) where possible to reduce exploitation risk. 7) Incorporate monitoring and alerting for application crashes or unusual behavior related to image processing utilities to enable rapid incident response. 8) Educate users about the risks of processing untrusted JPEG 2000 images and the importance of following security policies.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium, Switzerland, Norway
CVE-2024-56827: Heap-based Buffer Overflow
Description
A flaw was found in the OpenJPEG project. A heap buffer overflow condition may be triggered when certain options are specified while using the opj_decompress utility. This can lead to an application crash or other undefined behavior.
AI-Powered Analysis
Technical Analysis
CVE-2024-56827 is a heap-based buffer overflow vulnerability identified in the OpenJPEG project, specifically triggered when certain options are used with the opj_decompress utility. OpenJPEG is an open-source library widely used for encoding and decoding JPEG 2000 images, a format often employed in medical imaging, digital cinema, and geospatial imagery. The vulnerability arises from improper handling of memory buffers on the heap during decompression, which can lead to a buffer overflow condition. This overflow can cause the application to crash or exhibit undefined behavior, potentially leading to denial of service or, in some cases, memory corruption that could be leveraged for further exploitation. The CVSS 3.1 base score of 5.6 reflects a medium severity level, with the vector indicating that exploitation requires local access (AV:L), low attack complexity (AC:L), low privileges (PR:L), and user interaction (UI:R). The impact primarily affects availability (A:H) with limited confidentiality impact (C:L) and no integrity impact (I:N). No known exploits are currently reported in the wild, and no patches or affected versions are specified in the provided data, suggesting that this is a recently disclosed issue still under active investigation or remediation. Given the nature of the vulnerability, it is most relevant to environments where OpenJPEG is used locally or in workflows that involve decompression of JPEG 2000 images with the vulnerable utility and specific options that trigger the overflow.
Potential Impact
For European organizations, the impact of CVE-2024-56827 depends on the extent to which OpenJPEG is integrated into their imaging workflows. Sectors such as healthcare (medical imaging), digital media production, and geospatial analysis are most at risk. An attacker with local access and the ability to induce decompression with the vulnerable options could cause application crashes, leading to denial of service conditions that disrupt critical operations. In healthcare, this could delay diagnostic processes or compromise the availability of medical images. In media and geospatial sectors, it could interrupt content processing or analysis pipelines. Although the confidentiality and integrity impacts are low, the availability disruption could have operational and financial consequences. The requirement for local access and user interaction limits remote exploitation, reducing the risk of widespread attacks but emphasizing the need for internal security controls. Organizations relying on automated image processing systems that use OpenJPEG should be particularly vigilant, as crashes could cascade into broader system instability or data loss.
Mitigation Recommendations
To mitigate this vulnerability effectively, European organizations should: 1) Identify and inventory all systems and applications using OpenJPEG, especially those utilizing the opj_decompress utility. 2) Monitor vendor and community channels for official patches or updates addressing CVE-2024-56827 and apply them promptly once available. 3) Restrict local access to systems handling JPEG 2000 decompression to trusted users only, enforcing strict access controls and user authentication. 4) Implement application whitelisting and privilege restrictions to limit the ability of untrusted users to execute or manipulate the opj_decompress utility with potentially dangerous options. 5) Conduct thorough input validation and sanitization on image files before decompression to prevent malformed or malicious files from triggering the overflow. 6) Employ runtime protections such as heap canaries, address space layout randomization (ASLR), and control flow integrity (CFI) where possible to reduce exploitation risk. 7) Incorporate monitoring and alerting for application crashes or unusual behavior related to image processing utilities to enable rapid incident response. 8) Educate users about the risks of processing untrusted JPEG 2000 images and the importance of following security policies.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2025-01-01T17:07:45.899Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d9816c4522896dcbd66f0
Added to database: 5/21/2025, 9:08:38 AM
Last enriched: 7/4/2025, 9:26:42 PM
Last updated: 7/25/2025, 1:56:00 PM
Views: 12
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