FKIE_CVE-2026-42144
Vulnerability from fkie_nvd - Published: 2026-05-04 18:16 - Updated: 2026-06-17 10:47
Severity
Summary
CImg Library is a C++ library for image processing. Prior to commit 4ca26bc, there is an integer overflow vulnerability in the W*H*D size computation inside _load_pnm() that can bypass the memory allocation guard. A crafted PNM/PGM/PPM file with large dimension values causes the overflow to wrap around, allocating an undersized buffer and potentially triggering a heap buffer overflow. Any application using CImg to load untrusted image files is affected. This issue has been patched via commit 4ca26bc.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "CImg",
"vendor": "GreycLab",
"versions": [
{
"status": "affected",
"version": "\u003c 4ca26bce4d8c61fcd1507d5f9401b9fb1222c27d"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "CImg Library is a C++ library for image processing. Prior to commit 4ca26bc, there is an integer overflow vulnerability in the W*H*D size computation inside _load_pnm() that can bypass the memory allocation guard. A crafted PNM/PGM/PPM file with large dimension values causes the overflow to wrap around, allocating an undersized buffer and potentially triggering a heap buffer overflow. Any application using CImg to load untrusted image files is affected. This issue has been patched via commit 4ca26bc."
}
],
"id": "CVE-2026-42144",
"lastModified": "2026-06-17T10:47:26.607",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-42144",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-05T13:07:54.801471Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-04T18:16:31.830",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/GreycLab/CImg/commit/4ca26bce4d8c61fcd1507d5f9401b9fb1222c27d"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/GreycLab/CImg/issues/478"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/GreycLab/CImg/releases/tag/v.3.7.5"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/GreycLab/CImg/security/advisories/GHSA-4663-63fm-44gc"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-190"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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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
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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