GHSA-R99P-5442-Q2X2
Vulnerability from github – Published: 2026-02-25 19:24 – Updated: 2026-02-27 22:17
VLAI
Summary
ImageMagick has a heap Buffer Over-read in its DJVU image format handler
Details
A heap Buffer Over-read vulnerability exists in the DJVU image format handler. The vulnerability occurs due to integer truncation when calculating the stride (row size) for pixel buffer allocation. The stride calculation overflows a 32-bit signed integer, resulting in an out-of-bounds memory reads.
Severity
4.0 (Medium)
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],
"aliases": [
"CVE-2026-27799"
],
"database_specific": {
"cwe_ids": [
"CWE-122",
"CWE-126"
],
"github_reviewed": true,
"github_reviewed_at": "2026-02-25T19:24:24Z",
"nvd_published_at": "2026-02-26T00:16:25Z",
"severity": "MODERATE"
},
"details": "A heap Buffer Over-read vulnerability exists in the DJVU image format handler. The vulnerability occurs due to integer truncation when calculating the stride (row size) for pixel buffer allocation. The stride calculation overflows a 32-bit signed integer, resulting in an out-of-bounds memory reads.",
"id": "GHSA-r99p-5442-q2x2",
"modified": "2026-02-27T22:17:06Z",
"published": "2026-02-25T19:24:24Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/ImageMagick/ImageMagick/security/advisories/GHSA-r99p-5442-q2x2"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-27799"
},
{
"type": "WEB",
"url": "https://github.com/ImageMagick/ImageMagick/commit/e87695b3227978ad70b967b8d054baaf8ac2cced"
},
{
"type": "PACKAGE",
"url": "https://github.com/ImageMagick/ImageMagick"
},
{
"type": "WEB",
"url": "https://github.com/dlemstra/Magick.NET/releases/tag/14.10.3"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L",
"type": "CVSS_V3"
}
],
"summary": "ImageMagick has a heap Buffer Over-read in its DJVU image format handler"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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