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CVE-2025-54575VulnerabilityPublished

CVE-2025-54575: SixLabors ImageSharp · Uncontrolled Resource Consumption

Affects SixLabors ImageSharpSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium : upgrade to 2.1.11 when convenient.

Data as of 26 Oct 2026, 07:57 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 35% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.1.11
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Jul 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Upgrade SixLabors ImageSharp to 2.1.11.

Affected software

ProductAffectedFixed in
SixLabors ImageSharpAffected
  • <2.1.11
Fixed in
  • 2.1.11

AI-suggested

European organizations should immediately identify any applications or services using vulnerable versions of the SixLabors ImageSharp library (versions below 2.1.11 and between 3.0.0 and 3.1.10). The primary mitigation is to upgrade to the patched versions 2.1.11 or 3.1.11. In addition to patching, organizations should implement strict input validation and filtering on image uploads, including rejecting or sandboxing GIF files with suspicious or malformed metadata. Employing rate limiting and anomaly detection on image processing endpoints can help detect and mitigate potential DoS attempts. Where possible, isolate image processing workloads in separate containers or microservices with resource limits to prevent a single malicious input from affecting the entire application. Logging and monitoring for unusual CPU spikes or processing delays related to GIF handling should be established to enable rapid detection of exploitation attempts. Finally, organizations should review their incident response plans to include scenarios involving denial of service caused by malformed media files.

Description

ImageSharp is a 2D graphics library. In versions below 2.1.11 and 3.0.0 through 3.1.10, a specially crafted GIF file containing a malformed comment extension block (with a missing block terminator) can cause the ImageSharp GIF decoder to enter an infinite loop while attempting to skip the block. This leads to a denial of service. Applications processing untrusted GIF input should upgrade to a patched version. This issue is fixed in versions 2.1.11 and 3.1.11.

References

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