CVE-2026-58384: Integer Overflow or Wraparound in Red Hat Red Hat Enterprise Linux 6
An integer overflow vulnerability exists in GIMP's PSD parser on Red Hat Enterprise Linux 6. The flaw occurs in the read_RLE_channel() function, leading to an undersized heap allocation for the RLE row-length table. This can cause heap memory corruption, potentially resulting in denial of service or arbitrary code execution.
AI Analysis
Technical Summary
CVE-2026-58384 describes an integer overflow in the read_RLE_channel() function of GIMP's PSD parser on Red Hat Enterprise Linux 6. The overflow causes an undersized heap allocation for the RLE row-length table, which leads to heap memory corruption during subsequent writes. This vulnerability can be exploited to cause denial of service or arbitrary code execution. The CVSS 3.1 base score is 7.3, indicating a high severity with local attack vector, low complexity, low privileges required, and user interaction needed. No official remediation or patch information is provided in the vendor advisory at this time.
Potential Impact
Successful exploitation can lead to memory corruption resulting in denial of service or arbitrary code execution on affected systems running Red Hat Enterprise Linux 6 with the vulnerable GIMP PSD parser. The vulnerability requires local access with low privileges and user interaction, but can have high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
Patch status is not yet confirmed — check the Red Hat advisory at https://access.redhat.com/security/cve/CVE-2026-58384 for current remediation guidance. Until a patch is available, limit exposure by restricting access to vulnerable components and avoid opening untrusted PSD files with GIMP on affected systems.
CVE-2026-58384: Integer Overflow or Wraparound in Red Hat Red Hat Enterprise Linux 6
Description
An integer overflow vulnerability exists in GIMP's PSD parser on Red Hat Enterprise Linux 6. The flaw occurs in the read_RLE_channel() function, leading to an undersized heap allocation for the RLE row-length table. This can cause heap memory corruption, potentially resulting in denial of service or arbitrary code execution.
CVSS v3.1
Score 7.3high
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-58384 describes an integer overflow in the read_RLE_channel() function of GIMP's PSD parser on Red Hat Enterprise Linux 6. The overflow causes an undersized heap allocation for the RLE row-length table, which leads to heap memory corruption during subsequent writes. This vulnerability can be exploited to cause denial of service or arbitrary code execution. The CVSS 3.1 base score is 7.3, indicating a high severity with local attack vector, low complexity, low privileges required, and user interaction needed. No official remediation or patch information is provided in the vendor advisory at this time.
Potential Impact
Successful exploitation can lead to memory corruption resulting in denial of service or arbitrary code execution on affected systems running Red Hat Enterprise Linux 6 with the vulnerable GIMP PSD parser. The vulnerability requires local access with low privileges and user interaction, but can have high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
Patch status is not yet confirmed — check the Red Hat advisory at https://access.redhat.com/security/cve/CVE-2026-58384 for current remediation guidance. Until a patch is available, limit exposure by restricting access to vulnerable components and avoid opening untrusted PSD files with GIMP on affected systems.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2026-06-30T16:54:04.312Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
- Vendor Advisory Urls
- [{"url":"https://access.redhat.com/security/cve/CVE-2026-58384","vendor":"Red Hat"}]
Threat ID: 6a4cbe3927e9c7971942164d
Added to database: 07/07/2026, 08:52:09 UTC
Last enriched: 07/07/2026, 09:06:19 UTC
Last updated: 07/07/2026, 09:50:28 UTC
Views: 15
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