PatchSiren cyber security CVE debrief
CVE-2026-18306 GIMP CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-08-20T17:17:27.633Z and has not been modified since then. This GIMP SGI File Parsing Integer Overflow Remote Code Execution Vulnerability allows remote attackers to execute arbitrary code on affected installations of GIMP, requiring user interaction to exploit. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before writing to memory. Evidence is limited to public sources and may not reflect the full scope or impact of this vulnerability.
- Vendor
- GIMP
- Product
- Unknown
- CVSS
- HIGH 7.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-20
- Original CVE updated
- 2026-09-02
- Advisory published
- 2026-08-20
- Advisory updated
- 2026-09-02
Who should care
Users and administrators of GIMP installations, especially those exposed to untrusted SGI files, should be aware of this vulnerability and take steps to mitigate it. This includes prioritizing patching, restricting access to untrusted files, and monitoring for suspicious activity. Security teams should review vulnerability management processes and ensure that GIMP installations are up-to-date and secure.
Technical summary
The vulnerability exists within the parsing of SGI files in GIMP, caused by a lack of proper validation of user-supplied data, leading to an integer overflow before writing to memory. This allows remote attackers to execute arbitrary code on affected installations of GIMP, requiring user interaction to exploit. The issue is specific to the SGI file parsing functionality in GIMP. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
Defensive priority
GIMP users should prioritize patching this vulnerability to prevent potential code execution.
Recommended defensive actions
- Apply the official patch for GIMP to address the SGI file parsing integer overflow vulnerability.
- Restrict user access to untrusted SGI files until the patch is applied.
- Monitor GIMP installations for any suspicious activity related to SGI file parsing.
- Review compensating controls for exposed systems while remediation is scheduled and verified.
- Check relevant monitoring, detection, and logs for exposed assets that need extra review.
- Track exceptions, retest remediated assets, and close the item only after evidence is documented.
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
Evidence notes
The vulnerability exists within the parsing of SGI files in GIMP, caused by a lack of proper validation of user-supplied data, leading to an integer overflow before writing to memory. This issue allows remote attackers to execute arbitrary code on affected installations of GIMP, requiring user interaction to exploit. Evidence is limited to public sources and may not reflect the full scope or impact of this vulnerability. Defenders should verify GIMP installations, review SGI file handling, and monitor for suspicious activity related to this vulnerability.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-18306 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-18306
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-18306 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-18306
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://gitlab.gnome.org/GNOME/gimp/-/commit/76531da9732f38566e5fd8f8f80c837158511ae5
[email protected] - Patch
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Source reference
Unverified legacy reference
URL: https://www.zerodayinitiative.com/advisories/ZDI-26-459/
[email protected] - Third Party Advisory, Patch
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.