DICOM, Pydicom, GDCM, and Orthanc: A technical tour of what really happens in the heap
This white paper presents a concrete case study demonstrating the creation of a heap overflow vulnerability through the exploitation of the DICOM file format.
AI Analysis
Technical Summary
The white paper from Cisco Talos presents a case study showing how a heap overflow vulnerability can be introduced by manipulating the DICOM file format. Specifically, it focuses on the Orthanc server's image upload process, where malformed DICOM data can trigger an out-of-bounds write in heap memory. This vulnerability arises from the complexity and critical nature of DICOM parsing in medical imaging systems. The analysis covers components such as Pydicom and GDCM, which are commonly used DICOM decoders. No affected versions or patches are specified, and no active exploitation has been reported.
Potential Impact
The impact involves potential memory corruption via heap overflow during DICOM image uploads to Orthanc servers. This could affect the stability or security of systems processing DICOM files, possibly leading to denial of service or other unintended behavior. However, the severity is assessed as low, and no active exploitation has been observed.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no patches or official fixes are referenced, users should monitor vendor communications for updates. No specific mitigation steps are provided by the source at this time.
DICOM, Pydicom, GDCM, and Orthanc: A technical tour of what really happens in the heap
Description
This white paper presents a concrete case study demonstrating the creation of a heap overflow vulnerability through the exploitation of the DICOM file format.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The white paper from Cisco Talos presents a case study showing how a heap overflow vulnerability can be introduced by manipulating the DICOM file format. Specifically, it focuses on the Orthanc server's image upload process, where malformed DICOM data can trigger an out-of-bounds write in heap memory. This vulnerability arises from the complexity and critical nature of DICOM parsing in medical imaging systems. The analysis covers components such as Pydicom and GDCM, which are commonly used DICOM decoders. No affected versions or patches are specified, and no active exploitation has been reported.
Potential Impact
The impact involves potential memory corruption via heap overflow during DICOM image uploads to Orthanc servers. This could affect the stability or security of systems processing DICOM files, possibly leading to denial of service or other unintended behavior. However, the severity is assessed as low, and no active exploitation has been observed.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no patches or official fixes are referenced, users should monitor vendor communications for updates. No specific mitigation steps are provided by the source at this time.
Technical Details
- Article Source
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Threat ID: 6a1814c9e29bf47b50d41de5
Added to database: 5/28/2026, 10:11:21 AM
Last enriched: 5/28/2026, 10:11:26 AM
Last updated: 5/29/2026, 3:19:16 PM
Views: 13
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