CVE-2026-97059 (GCVE-0-2026-97059)

Vulnerability from cvelistv5 – Published: 2026-09-24 13:52 – Updated: 2026-09-24 14:23
VLAI
Title
DCMTK through 3.7.0 Heap Over-read via NumberOfFrames
Summary
DCMTK through 3.7.0 contains a heap over-read vulnerability in ConcatenationLoader that copies pixel data frames without validating the PixelData buffer length against the declared NumberOfFrames. Attackers can craft malicious DICOM instances declaring more frames than the buffer contains to trigger heap over-reads that crash the application or leak adjacent heap memory.
Severity
8.8 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N
8.2 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
OFFIS DCMTK Affected: 0 , ≤ 3.7.0 (custom)
    cpe:2.3:a:offis:dcmtk:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-09-04 00:00
Credits
Tristan Madani
Show details on NVD website
To clipboard 

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}



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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

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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.



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.