CVE-2025-8961: Memory Corruption in LibTIFF
A vulnerability was identified in LibTIFF 4.7.0. This issue affects the function May of the file tiffcrop.c of the component tiffcrop. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-8961 is a medium-severity memory corruption vulnerability identified in LibTIFF version 4.7.0, specifically within the tiffcrop component's function May in the source file tiffcrop.c. LibTIFF is a widely used open-source library for reading and writing TIFF (Tagged Image File Format) files, which are common in imaging and document processing applications. The vulnerability arises from improper handling of memory during local manipulation of TIFF files, leading to memory corruption. Exploitation requires local access with low privileges (PR:L) and does not require user interaction or authentication. The vulnerability does not affect confidentiality, integrity, or availability directly but can lead to undefined behavior, including potential application crashes or escalation of privileges if exploited further. The CVSS v4.0 score is 4.8 (medium), reflecting the limited attack vector (local) and the requirement for low privileges. Although the exploit has been publicly disclosed, there are no known exploits in the wild at this time, and no official patches have been linked yet. The vulnerability's impact is primarily on systems that utilize LibTIFF 4.7.0 for TIFF image processing, especially those that use the tiffcrop utility or similar functions that invoke the vulnerable code path.
Potential Impact
For European organizations, the impact of CVE-2025-8961 depends largely on the extent to which LibTIFF 4.7.0 is integrated into their software stack, particularly in imaging, document management, and graphic processing systems. Organizations in sectors such as media, publishing, healthcare (medical imaging), and government agencies that handle large volumes of TIFF images may be at higher risk. The local attack vector limits remote exploitation, so the threat is more relevant in environments where untrusted users have local system access, such as shared workstations or multi-user systems. Successful exploitation could lead to application crashes, denial of service, or potentially privilege escalation if combined with other vulnerabilities, impacting system stability and security. Given the public disclosure of the exploit, there is an increased risk of attackers developing local exploits to leverage this vulnerability, especially in environments where patching is delayed. The medium severity suggests moderate risk but should not be underestimated in critical infrastructure or sensitive environments.
Mitigation Recommendations
European organizations should prioritize the following mitigations: 1) Identify and inventory all systems and applications using LibTIFF 4.7.0, especially those employing the tiffcrop utility or similar TIFF processing tools. 2) Restrict local access to trusted users only, enforcing strict access controls and user privilege management to minimize the risk of local exploitation. 3) Monitor for unusual application crashes or behavior in TIFF processing applications that could indicate exploitation attempts. 4) Apply any available patches or updates from LibTIFF maintainers as soon as they are released; if no patch is currently available, consider temporarily disabling or restricting the use of vulnerable components. 5) Employ application whitelisting and endpoint protection solutions that can detect and block exploitation attempts targeting local vulnerabilities. 6) Educate users about the risks of running untrusted code or files locally, especially TIFF images from unknown sources. 7) For critical systems, consider sandboxing TIFF processing applications to contain potential memory corruption impacts.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium, Poland, Switzerland
CVE-2025-8961: Memory Corruption in LibTIFF
Description
A vulnerability was identified in LibTIFF 4.7.0. This issue affects the function May of the file tiffcrop.c of the component tiffcrop. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-8961 is a medium-severity memory corruption vulnerability identified in LibTIFF version 4.7.0, specifically within the tiffcrop component's function May in the source file tiffcrop.c. LibTIFF is a widely used open-source library for reading and writing TIFF (Tagged Image File Format) files, which are common in imaging and document processing applications. The vulnerability arises from improper handling of memory during local manipulation of TIFF files, leading to memory corruption. Exploitation requires local access with low privileges (PR:L) and does not require user interaction or authentication. The vulnerability does not affect confidentiality, integrity, or availability directly but can lead to undefined behavior, including potential application crashes or escalation of privileges if exploited further. The CVSS v4.0 score is 4.8 (medium), reflecting the limited attack vector (local) and the requirement for low privileges. Although the exploit has been publicly disclosed, there are no known exploits in the wild at this time, and no official patches have been linked yet. The vulnerability's impact is primarily on systems that utilize LibTIFF 4.7.0 for TIFF image processing, especially those that use the tiffcrop utility or similar functions that invoke the vulnerable code path.
Potential Impact
For European organizations, the impact of CVE-2025-8961 depends largely on the extent to which LibTIFF 4.7.0 is integrated into their software stack, particularly in imaging, document management, and graphic processing systems. Organizations in sectors such as media, publishing, healthcare (medical imaging), and government agencies that handle large volumes of TIFF images may be at higher risk. The local attack vector limits remote exploitation, so the threat is more relevant in environments where untrusted users have local system access, such as shared workstations or multi-user systems. Successful exploitation could lead to application crashes, denial of service, or potentially privilege escalation if combined with other vulnerabilities, impacting system stability and security. Given the public disclosure of the exploit, there is an increased risk of attackers developing local exploits to leverage this vulnerability, especially in environments where patching is delayed. The medium severity suggests moderate risk but should not be underestimated in critical infrastructure or sensitive environments.
Mitigation Recommendations
European organizations should prioritize the following mitigations: 1) Identify and inventory all systems and applications using LibTIFF 4.7.0, especially those employing the tiffcrop utility or similar TIFF processing tools. 2) Restrict local access to trusted users only, enforcing strict access controls and user privilege management to minimize the risk of local exploitation. 3) Monitor for unusual application crashes or behavior in TIFF processing applications that could indicate exploitation attempts. 4) Apply any available patches or updates from LibTIFF maintainers as soon as they are released; if no patch is currently available, consider temporarily disabling or restricting the use of vulnerable components. 5) Employ application whitelisting and endpoint protection solutions that can detect and block exploitation attempts targeting local vulnerabilities. 6) Educate users about the risks of running untrusted code or files locally, especially TIFF images from unknown sources. 7) For critical systems, consider sandboxing TIFF processing applications to contain potential memory corruption impacts.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-08-13T16:01:06.782Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 689dd3edad5a09ad005a922b
Added to database: 8/14/2025, 12:17:49 PM
Last enriched: 8/14/2025, 12:33:52 PM
Last updated: 8/14/2025, 1:32:49 PM
Views: 4
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