FKIE_CVE-2025-11266
Vulnerability from fkie_nvd - Published: 2025-12-12 21:15 - Updated: 2026-10-07 20:10
Severity
Summary
An out-of-bounds write vulnerability exists in the Grassroots DICOM library (GDCM). The issue is triggered during parsing of a malformed DICOM file containing encapsulated PixelData fragments (compressed image data stored as multiple fragments). This vulnerability leads to a segmentation fault caused by an out-of-bounds memory access due to unsigned integer underflow in buffer indexing. It is exploitable via file input, simply opening a crafted malicious DICOM file is sufficient to trigger the crash, resulting in a denial-of-service condition.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "DICOM (GDCM)",
"vendor": "Grassroots",
"versions": [
{
"lessThanOrEqual": "3.0.24",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
},
{
"defaultStatus": "unaffected",
"product": "SimpleITK",
"vendor": "NumFocus",
"versions": [
{
"lessThanOrEqual": "2.5.2",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
},
{
"defaultStatus": "unaffected",
"product": "medInria",
"vendor": "medInria",
"versions": [
{
"lessThanOrEqual": "4.0",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "ics-cert@hq.dhs.gov"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An out-of-bounds write vulnerability exists in the Grassroots DICOM library (GDCM). The issue is triggered during parsing of a malformed DICOM file containing encapsulated PixelData fragments (compressed image data stored as multiple fragments). This vulnerability leads to a segmentation fault caused by an out-of-bounds memory access due to unsigned integer underflow in buffer indexing. It is exploitable via file input, simply opening a crafted malicious DICOM file is sufficient to trigger the crash, resulting in a denial-of-service condition."
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de escritura fuera de l\u00edmites en la biblioteca Grassroots DICOM (GDCM). El problema se desencadena durante el an\u00e1lisis de un archivo DICOM malformado que contiene fragmentos de PixelData encapsulados (datos de imagen comprimidos almacenados como m\u00faltiples fragmentos). Esta vulnerabilidad conduce a una falla de segmentaci\u00f3n causada por un acceso a memoria fuera de l\u00edmites debido a un subdesbordamiento de entero sin signo en la indexaci\u00f3n del b\u00fafer. Es explotable a trav\u00e9s de la entrada de archivo; simplemente abrir un archivo DICOM malicioso manipulado es suficiente para desencadenar el fallo, lo que resulta en una condici\u00f3n de denegaci\u00f3n de servicio."
}
],
"id": "CVE-2025-11266",
"lastModified": "2026-10-07T20:10:01.970",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 4.7,
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 6.8,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "ACTIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "ics-cert@hq.dhs.gov",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-11266",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-15T15:39:13.062094Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-12-12T21:15:51.653",
"references": [
{
"source": "ics-cert@hq.dhs.gov",
"url": "https://github.com/cisagov/CSAF/blob/develop/csaf_files/OT/white/2025/icsma-25-345-01.json"
},
{
"source": "ics-cert@hq.dhs.gov",
"url": "https://github.com/malaterre/GDCM/releases/tag/v3.2.2"
},
{
"source": "ics-cert@hq.dhs.gov",
"url": "https://www.cisa.gov/news-events/ics-medical-advisories/icsma-25-345-01"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://github.com/malaterre/GDCM/commit/5829c95c8ac3afa9a3a3413675e948959c28a789"
}
],
"sourceIdentifier": "ics-cert@hq.dhs.gov",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "ics-cert@hq.dhs.gov",
"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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