GSD-2023-39431
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Sante DICOM Viewer Pro lacks proper validation of user-supplied data when parsing DICOM files. This could lead to an out-of-bounds write. An attacker could leverage this vulnerability to execute arbitrary code in the context of the current process.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-39431",
"id": "GSD-2023-39431"
},
"gsd": {
"metadata": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"details": "\n\n\nSante DICOM Viewer Pro lacks proper validation of user-supplied data when parsing DICOM files. This could lead to an out-of-bounds write. An attacker could leverage this vulnerability to execute arbitrary code in the context of the current process.\n\n\n\n",
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"modified": "2023-12-13T01:20:33.832532Z",
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"name": "https://www.cisa.gov/news-events/ics-medical-advisories/icsma-23-285-01",
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"value": "\n\n\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eSantesoft released an updated version of their product and recommends updating Sante DICOM Viewer Pro to \u003c/span\u003e\u003ca target=\"_blank\" rel=\"nofollow\" href=\"https://santesoft.com/win/sante-dicom-viewer-pro/download.html\"\u003ev12.2.6\u003c/a\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e.\u003c/span\u003e\n\n\u003cbr\u003e"
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"value": "\nSantesoft released an updated version of their product and recommends updating Sante DICOM Viewer Pro to v12.2.6 https://santesoft.com/win/sante-dicom-viewer-pro/download.html .\n\n\n"
}
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"lastModifiedDate": "2023-10-25T13:50Z",
"publishedDate": "2023-10-19T18:15Z"
}
}
}
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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.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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