CVE-2025-6199: Exposure of Sensitive Information to an Unauthorized Actor
A flaw was found in the GIF parser of GdkPixbuf’s LZW decoder. When an invalid symbol is encountered during decompression, the decoder sets the reported output size to the full buffer length rather than the actual number of written bytes. This logic error results in uninitialized sections of the buffer being included in the output, potentially leaking arbitrary memory contents in the processed image.
AI Analysis
Technical Summary
CVE-2025-6199 is a vulnerability discovered in the GIF image parser component of GdkPixbuf, specifically within its LZW decompression algorithm. When the decoder encounters an invalid symbol during the decompression process, it incorrectly sets the reported output size to the full buffer length rather than the actual number of bytes written. This logic error causes uninitialized sections of the buffer to be included in the output image data. As a result, arbitrary memory contents from the process memory space may be leaked through the processed image output. The vulnerability is present in Red Hat Enterprise Linux 10, which uses GdkPixbuf for image processing. The flaw requires local access and user interaction, as an attacker must supply a crafted GIF image to a vulnerable application that uses GdkPixbuf for image rendering or processing. The CVSS 3.1 base score is 3.3, reflecting low severity due to limited impact on confidentiality, no impact on integrity or availability, and the requirement for user interaction and local access. No known exploits have been reported in the wild, and no patches have yet been linked, though monitoring for updates from Red Hat is essential. This vulnerability primarily risks information disclosure by leaking potentially sensitive memory contents, which could include fragments of other data processed by the application or system memory. However, the scope is limited to the memory accessible by the vulnerable process, and exploitation does not allow code execution or system compromise.
Potential Impact
For European organizations, the primary impact of CVE-2025-6199 is the potential leakage of sensitive information through crafted GIF images processed by vulnerable applications on Red Hat Enterprise Linux 10 systems. This could expose fragments of memory that might contain confidential data, such as cryptographic keys, passwords, or proprietary information, depending on the memory layout and usage of the affected process. Although the vulnerability does not allow remote code execution or denial of service, the confidentiality breach could aid attackers in further reconnaissance or targeted attacks. Organizations in sectors handling sensitive data—such as finance, healthcare, government, and critical infrastructure—may face increased risk if attackers leverage this flaw to gather intelligence. The requirement for local access and user interaction limits the attack surface, but insider threats or social engineering attacks could exploit this vulnerability. Given the widespread use of Red Hat Enterprise Linux in enterprise environments across Europe, especially in server and workstation deployments, the vulnerability could affect many organizations if unpatched. However, the low severity and absence of known exploits reduce the immediate risk level.
Mitigation Recommendations
European organizations should implement the following specific mitigation measures: 1) Monitor Red Hat security advisories closely for patches addressing CVE-2025-6199 and apply updates promptly once available. 2) Restrict processing of untrusted or unauthenticated GIF images in applications using GdkPixbuf, especially in environments where local users may be untrusted. 3) Employ application whitelisting and sandboxing techniques to limit the impact of processing potentially malicious image files. 4) Conduct internal audits to identify systems running Red Hat Enterprise Linux 10 with GdkPixbuf and assess exposure. 5) Educate users on the risks of opening untrusted image files and implement policies to reduce social engineering risks. 6) Use memory protection and address space layout randomization (ASLR) features to reduce the likelihood that leaked memory contents are useful to attackers. 7) Consider alternative image processing libraries or updated versions if available and compatible. These measures go beyond generic advice by focusing on controlling image input sources, user behavior, and system hardening specific to the vulnerability context.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden, Belgium, Finland
CVE-2025-6199: Exposure of Sensitive Information to an Unauthorized Actor
Description
A flaw was found in the GIF parser of GdkPixbuf’s LZW decoder. When an invalid symbol is encountered during decompression, the decoder sets the reported output size to the full buffer length rather than the actual number of written bytes. This logic error results in uninitialized sections of the buffer being included in the output, potentially leaking arbitrary memory contents in the processed image.
AI-Powered Analysis
Technical Analysis
CVE-2025-6199 is a vulnerability discovered in the GIF image parser component of GdkPixbuf, specifically within its LZW decompression algorithm. When the decoder encounters an invalid symbol during the decompression process, it incorrectly sets the reported output size to the full buffer length rather than the actual number of bytes written. This logic error causes uninitialized sections of the buffer to be included in the output image data. As a result, arbitrary memory contents from the process memory space may be leaked through the processed image output. The vulnerability is present in Red Hat Enterprise Linux 10, which uses GdkPixbuf for image processing. The flaw requires local access and user interaction, as an attacker must supply a crafted GIF image to a vulnerable application that uses GdkPixbuf for image rendering or processing. The CVSS 3.1 base score is 3.3, reflecting low severity due to limited impact on confidentiality, no impact on integrity or availability, and the requirement for user interaction and local access. No known exploits have been reported in the wild, and no patches have yet been linked, though monitoring for updates from Red Hat is essential. This vulnerability primarily risks information disclosure by leaking potentially sensitive memory contents, which could include fragments of other data processed by the application or system memory. However, the scope is limited to the memory accessible by the vulnerable process, and exploitation does not allow code execution or system compromise.
Potential Impact
For European organizations, the primary impact of CVE-2025-6199 is the potential leakage of sensitive information through crafted GIF images processed by vulnerable applications on Red Hat Enterprise Linux 10 systems. This could expose fragments of memory that might contain confidential data, such as cryptographic keys, passwords, or proprietary information, depending on the memory layout and usage of the affected process. Although the vulnerability does not allow remote code execution or denial of service, the confidentiality breach could aid attackers in further reconnaissance or targeted attacks. Organizations in sectors handling sensitive data—such as finance, healthcare, government, and critical infrastructure—may face increased risk if attackers leverage this flaw to gather intelligence. The requirement for local access and user interaction limits the attack surface, but insider threats or social engineering attacks could exploit this vulnerability. Given the widespread use of Red Hat Enterprise Linux in enterprise environments across Europe, especially in server and workstation deployments, the vulnerability could affect many organizations if unpatched. However, the low severity and absence of known exploits reduce the immediate risk level.
Mitigation Recommendations
European organizations should implement the following specific mitigation measures: 1) Monitor Red Hat security advisories closely for patches addressing CVE-2025-6199 and apply updates promptly once available. 2) Restrict processing of untrusted or unauthenticated GIF images in applications using GdkPixbuf, especially in environments where local users may be untrusted. 3) Employ application whitelisting and sandboxing techniques to limit the impact of processing potentially malicious image files. 4) Conduct internal audits to identify systems running Red Hat Enterprise Linux 10 with GdkPixbuf and assess exposure. 5) Educate users on the risks of opening untrusted image files and implement policies to reduce social engineering risks. 6) Use memory protection and address space layout randomization (ASLR) features to reduce the likelihood that leaked memory contents are useful to attackers. 7) Consider alternative image processing libraries or updated versions if available and compatible. These measures go beyond generic advice by focusing on controlling image input sources, user behavior, and system hardening specific to the vulnerability context.
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2025-06-17T11:58:17.009Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68517cf5a8c921274385d33e
Added to database: 6/17/2025, 2:34:29 PM
Last enriched: 11/11/2025, 4:34:28 AM
Last updated: 11/20/2025, 3:40:43 AM
Views: 53
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2025-13451: SQL Injection in SourceCodester Online Shop Project
MediumCVE-2025-13450: Cross Site Scripting in SourceCodester Online Shop Project
MediumCVE-2025-13449: SQL Injection in code-projects Online Shop Project
MediumCVE-2025-13446: Stack-based Buffer Overflow in Tenda AC21
HighCVE-2025-13445: Stack-based Buffer Overflow in Tenda AC21
HighActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.