CVE-2026-44034 (GCVE-0-2026-44034)
Vulnerability from cvelistv5 – Published: 2026-10-08 12:55 – Updated: 2026-10-08 14:09
VLAI
EPSS
VEX
Title
Heap out-of-bounds read in DCMTK RLE decodeFrame()
Summary
A heap-based out-of-bounds read in DcmRLECodecDecoder::decodeFrame() in dcmdata/libsrc/dcrleccd.cc of OFFIS DCMTK 3.7.0 allows an attacker to read up to 63 bytes of adjacent heap memory, or cause a crash, via a crafted RLE Lossless DICOM file whose pixel data fragment is shorter than the 64-byte RLE header. The function copies 64 bytes without checking the fragment length, a check that the sibling function decode() already performs. Applications that decode RLE images frame by frame (for example, through DcmPixelData::getUncompressedFrame()) are affected. The dcmdrle command-line tool uses decode() and is not affected. The issue is fixed in commit 45469f3c30037e9c7159290e4bb74cd7b3b9ef1d.
Severity
4.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-08 14:09 UTC
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://support.dcmtk.org/redmine/issues/1213 | issue-trackingvendor-advisory |
| https://github.com/DCMTK/dcmtk/commit/45469f3c300… | patch |
Impacted products
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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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