CVE-2020-26208: n/a in n/a
JHEAD is a simple command line tool for displaying and some manipulation of EXIF header data embedded in Jpeg images from digital cameras. In affected versions there is a heap-buffer-overflow on jhead-3.04/jpgfile.c:285 ReadJpegSections. Crafted jpeg images can be provided to the user resulting in a program crash or potentially incorrect exif information retrieval. Users are advised to upgrade. There is no known workaround for this issue.
AI Analysis
Technical Summary
CVE-2020-26208 is a medium severity heap-buffer-overflow vulnerability found in JHEAD, a command line tool used for displaying and manipulating EXIF header data embedded in JPEG images. Specifically, the flaw exists in version 3.04 within the ReadJpegSections function (jpgfile.c:285). The vulnerability arises when JHEAD processes crafted JPEG images containing maliciously constructed EXIF data. This can cause a heap-buffer-overflow condition, potentially leading to a program crash or incorrect retrieval of EXIF information. The vulnerability requires local access with low privileges (AV:L/PR:L) and does not require user interaction (UI:N). Exploitation could compromise the integrity and availability of the application by causing crashes or data corruption, but confidentiality impact is limited. There are no known exploits in the wild, and no official patches or workarounds have been published, though users are advised to upgrade when a fix becomes available. The CVSS 3.1 base score is 5.3, reflecting medium severity due to the limited attack vector and privileges required. The underlying weakness is classified as CWE-787 (Out-of-bounds Write). This vulnerability primarily affects environments where JHEAD is used to process untrusted JPEG images, such as automated image processing pipelines or forensic tools that rely on JHEAD for EXIF data extraction.
Potential Impact
For European organizations, the impact of CVE-2020-26208 depends on the extent to which JHEAD is integrated into their workflows. Organizations involved in digital forensics, media processing, photography, or any automated system that parses JPEG EXIF data using JHEAD could face risks of denial of service due to application crashes or data integrity issues caused by malformed images. While the vulnerability does not appear to allow remote code execution or direct data exfiltration, disruption of image processing tools could affect operational continuity, especially in sectors relying on image metadata for verification or compliance purposes. The limited attack vector (local access with low privileges) reduces the risk of widespread exploitation but insider threats or compromised user accounts could leverage this vulnerability. Additionally, incorrect EXIF data retrieval could lead to erroneous decisions or forensic conclusions, impacting legal or regulatory processes. The absence of known exploits and patches means organizations must proactively monitor for updates and consider alternative tools or additional validation layers for image inputs.
Mitigation Recommendations
Given the lack of an official patch or workaround, European organizations should implement the following specific mitigations: 1) Restrict use of JHEAD to trusted users and environments only, minimizing exposure to untrusted JPEG inputs. 2) Implement input validation and sanitization on JPEG files before processing with JHEAD, using alternative tools or libraries that have been audited for similar vulnerabilities. 3) Employ sandboxing or containerization for JHEAD executions to contain potential crashes and prevent impact on broader systems. 4) Monitor logs and application behavior for signs of crashes or abnormal EXIF data outputs that could indicate exploitation attempts. 5) Maintain strict access controls and audit trails for systems processing image data to detect unauthorized use. 6) Stay informed on vendor updates or community patches addressing this vulnerability and plan timely upgrades once available. 7) Consider replacing JHEAD with more actively maintained tools if feasible, to reduce dependency on vulnerable software.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2020-26208: n/a in n/a
Description
JHEAD is a simple command line tool for displaying and some manipulation of EXIF header data embedded in Jpeg images from digital cameras. In affected versions there is a heap-buffer-overflow on jhead-3.04/jpgfile.c:285 ReadJpegSections. Crafted jpeg images can be provided to the user resulting in a program crash or potentially incorrect exif information retrieval. Users are advised to upgrade. There is no known workaround for this issue.
AI-Powered Analysis
Technical Analysis
CVE-2020-26208 is a medium severity heap-buffer-overflow vulnerability found in JHEAD, a command line tool used for displaying and manipulating EXIF header data embedded in JPEG images. Specifically, the flaw exists in version 3.04 within the ReadJpegSections function (jpgfile.c:285). The vulnerability arises when JHEAD processes crafted JPEG images containing maliciously constructed EXIF data. This can cause a heap-buffer-overflow condition, potentially leading to a program crash or incorrect retrieval of EXIF information. The vulnerability requires local access with low privileges (AV:L/PR:L) and does not require user interaction (UI:N). Exploitation could compromise the integrity and availability of the application by causing crashes or data corruption, but confidentiality impact is limited. There are no known exploits in the wild, and no official patches or workarounds have been published, though users are advised to upgrade when a fix becomes available. The CVSS 3.1 base score is 5.3, reflecting medium severity due to the limited attack vector and privileges required. The underlying weakness is classified as CWE-787 (Out-of-bounds Write). This vulnerability primarily affects environments where JHEAD is used to process untrusted JPEG images, such as automated image processing pipelines or forensic tools that rely on JHEAD for EXIF data extraction.
Potential Impact
For European organizations, the impact of CVE-2020-26208 depends on the extent to which JHEAD is integrated into their workflows. Organizations involved in digital forensics, media processing, photography, or any automated system that parses JPEG EXIF data using JHEAD could face risks of denial of service due to application crashes or data integrity issues caused by malformed images. While the vulnerability does not appear to allow remote code execution or direct data exfiltration, disruption of image processing tools could affect operational continuity, especially in sectors relying on image metadata for verification or compliance purposes. The limited attack vector (local access with low privileges) reduces the risk of widespread exploitation but insider threats or compromised user accounts could leverage this vulnerability. Additionally, incorrect EXIF data retrieval could lead to erroneous decisions or forensic conclusions, impacting legal or regulatory processes. The absence of known exploits and patches means organizations must proactively monitor for updates and consider alternative tools or additional validation layers for image inputs.
Mitigation Recommendations
Given the lack of an official patch or workaround, European organizations should implement the following specific mitigations: 1) Restrict use of JHEAD to trusted users and environments only, minimizing exposure to untrusted JPEG inputs. 2) Implement input validation and sanitization on JPEG files before processing with JHEAD, using alternative tools or libraries that have been audited for similar vulnerabilities. 3) Employ sandboxing or containerization for JHEAD executions to contain potential crashes and prevent impact on broader systems. 4) Monitor logs and application behavior for signs of crashes or abnormal EXIF data outputs that could indicate exploitation attempts. 5) Maintain strict access controls and audit trails for systems processing image data to detect unauthorized use. 6) Stay informed on vendor updates or community patches addressing this vulnerability and plan timely upgrades once available. 7) Consider replacing JHEAD with more actively maintained tools if feasible, to reduce dependency on vulnerable software.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2020-10-01T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d981dc4522896dcbdb189
Added to database: 5/21/2025, 9:08:45 AM
Last enriched: 7/6/2025, 8:56:54 PM
Last updated: 8/14/2025, 4:55:30 AM
Views: 12
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