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Vulnerability Database/CVE-2026-112260

CVE-2026-112260: GIMP Information Disclosure Vulnerability

CVE-2026-112260 is an information disclosure flaw in GIMP that occurs when opening crafted XCF files with malformed text-layer parasites, causing heap out-of-bounds reads and denial of service. This post covers technical details, affected versions, impact assessment, and mitigation strategies.

Published:

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Sources: National Vulnerability Database, CISA KEV, Exploit-DB

CVE-2026-112260 Overview

CVE-2026-112260 is a heap out-of-bounds read vulnerability in GIMP, the GNU Image Manipulation Program. The flaw occurs when GIMP parses a crafted XCF file containing a malformed text-layer parasite. Opening the file causes the parser to read memory outside the allocated heap buffer. The out-of-bounds read discloses adjacent heap data into the layer text and can trigger a denial of service. The weakness is tracked under CWE-125 (Out-of-bounds Read). Exploitation requires a local user to open a malicious XCF file, so successful attacks depend on user interaction.

Critical Impact

A malformed XCF file can leak adjacent heap memory into layer text and crash GIMP, enabling information disclosure and denial of service when a user opens the file.

Affected Products

  • GIMP (GNU Image Manipulation Program)
  • Red Hat distributions shipping affected GIMP builds
  • Any downstream package consuming the vulnerable XCF parser

Discovery Timeline

  • 2026-10-19 - CVE-2026-112260 published to the National Vulnerability Database
  • 2026-10-19 - Last updated in NVD database

Technical Details for CVE-2026-112260

Vulnerability Analysis

The vulnerability resides in GIMP's XCF file parser, specifically in the routine that processes text-layer parasites. XCF is GIMP's native layered image format, and parasites are auxiliary data blocks attached to layers or images. The text-layer parasite stores serialized metadata describing text content, font, and rendering parameters. When the parser encounters a parasite whose declared length or internal structure does not match the actual data, it reads past the allocated buffer. The excess bytes are then incorporated into the layer text value returned to the application. This behavior exposes residual heap memory, which may contain pointers, cached data, or sensitive content from other open files. In parallel, the invalid read can corrupt parser state and cause GIMP to terminate, producing a denial-of-service condition.

Root Cause

The root cause is missing or insufficient bounds validation on the text-layer parasite payload before the parser copies bytes into the layer text buffer. The parser trusts length fields embedded in the file instead of enforcing the actual allocation size. This matches the pattern described by CWE-125.

Attack Vector

The attack vector is local and requires user interaction. An attacker crafts a malicious XCF file with a malformed text-layer parasite and delivers it through email, chat, a shared drive, or a web download. The vulnerability triggers when the victim opens the file in GIMP. No elevated privileges are required for the attacker to produce the file, and no network access to the victim is needed. Refer to the Red Hat CVE-2026-112260 advisory and the Red Hat Bug Report #2555730 for upstream technical context.

Detection Methods for CVE-2026-112260

Indicators of Compromise

  • Unexpected GIMP crashes or SIGSEGV terminations shortly after a user opens an XCF file
  • Presence of untrusted .xcf files delivered via email attachments, download directories, or shared storage
  • Core dumps referencing GIMP's XCF parser or parasite-handling functions
  • Layer text content containing binary noise or non-printable characters inconsistent with normal projects

Detection Strategies

  • Hunt for GIMP process crashes correlated with recent file-open events in endpoint telemetry
  • Flag inbound .xcf attachments from external senders for inspection in mail gateways
  • Use file-type validation and sandboxed opening of XCF files received from untrusted sources
  • Review AddressSanitizer or Valgrind reports from automated QA pipelines that process user-supplied images

Monitoring Recommendations

  • Monitor endpoint logs for abnormal termination of gimp and related plug-in processes
  • Alert on repeated GIMP crash events on the same host within a short window
  • Track installed GIMP versions across the fleet and compare against vendor-patched releases
  • Capture and review browser and mail download logs for .xcf files originating outside the organization

How to Mitigate CVE-2026-112260

Immediate Actions Required

  • Apply updated GIMP packages from your Linux distribution or official GIMP builds as soon as vendor patches are published
  • Instruct users to avoid opening XCF files received from untrusted sources until patches are deployed
  • Inventory systems with GIMP installed and prioritize patching on workstations that process external image files
  • Review mail and web gateway policies to quarantine XCF attachments from untrusted senders

Patch Information

At publication, consult the Red Hat CVE-2026-112260 advisory and the Red Hat Bug Report #2555730 for upstream fix status and distribution package updates. Apply the vendor-provided updates for the GIMP package on each affected system once available.

Workarounds

  • Open untrusted XCF files only inside a disposable sandbox or virtual machine isolated from sensitive data
  • Convert received images to a non-XCF format using a trusted converter before opening in GIMP
  • Restrict file associations so .xcf files do not open automatically from mail clients or browsers
  • Remove GIMP from systems where it is not required for business use
bash
# Example: update GIMP on Red Hat based systems once a fixed package is published
sudo dnf check-update gimp
sudo dnf upgrade gimp

# Example: update GIMP on Debian based systems
sudo apt update
sudo apt install --only-upgrade gimp

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Sources: National Vulnerability Database, CISA KEV, Exploit-DB

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