| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in GIMP. Impacted is an unknown function of the component ILBM File Parser. Performing a manipulation results in stack-based overflow. This vulnerability was named CVE-2025-10925. The attack may be initiated remotely. There is no available exploit. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as critical, was found in GIMP (affected version not known). This affects some unknown functionality of the component ILBM File Parser. The manipulation with an unknown input leads to a stack-based overflow vulnerability. CWE is classifying the issue as CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
GIMP ILBM File Parsing Stack-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GIMP. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of ILBM files. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-27793.
It is possible to read the advisory at zerodayinitiative.com. This vulnerability is uniquely identified as CVE-2025-10925. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
The vulnerability scanner Nessus provides a plugin with the ID 266108 (Linux Distros Unpatched Vulnerability : CVE-2025-10925), which helps to determine the existence of the flaw in a target environment.
Applying a patch is able to eliminate this problem. The bugfix is ready for download at gitlab.gnome.org.
The vulnerability is also documented in the databases at Tenable (266108) and CERT Bund (WID-SEC-2025-2129). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- Debian Linux
- Amazon Linux 2
- Red Hat Enterprise Linux
- SUSE Linux
- Oracle Linux
- SUSE openSUSE
- RESF Rocky Linux
- Open Source GIMP
Product
Type
Name
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.8
CNA Vector: 🔒
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Nessus ID: 266108
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-10925
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: gitlab.gnome.org
Timeline
09/25/2025 Advisory disclosed09/25/2025 VulDB entry created
12/23/2025 VulDB entry last update
Sources
Advisory: zerodayinitiative.comStatus: Confirmed
CVE: CVE-2025-10925 (🔒)
GCVE (CVE): GCVE-0-2025-10925
GCVE (VulDB): GCVE-100-325803
CERT Bund: WID-SEC-2025-2129 - GIMP: Mehrere Schwachstellen ermöglichen Codeausführung
Entry
Created: 09/25/2025 07:41Updated: 12/23/2025 09:58
Changes: 09/25/2025 07:41 (51), 09/30/2025 07:09 (2), 10/30/2025 00:47 (12), 12/02/2025 18:00 (7), 12/23/2025 09:58 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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