CVE-2026-38361 (GCVE-0-2026-38361)
Vulnerability from cvelistv5 – Published: 2026-05-08 00:00 – Updated: 2026-06-10 15:28
VLAI
EPSS
VEX
Summary
Multiple unauthenticated denial-of-service (DoS) issues in fohrloop dash-uploader v0.1.0 through v0.7.0a2. The chunked-upload handler (dash_uploader/httprequesthandler.py, dash_uploader/upload.py) trusts unsanitized, attacker-controlled upload parameters (e.g. flowTotalChunks) and does not enforce the documented max_file_size limit, allowing a remote, unauthenticated attacker to cause an out-of-memory (OOM) process crash (unbounded range(1, flowTotalChunks + 1) allocation), truncation of the target file to zero bytes (flowTotalChunks=0, where the all([]) == True quirk runs the file-assembly branch on zero chunks), permanent disk exhaustion (never-cleaned-up temporary directories per flowIdentifier), and a complete bypass of the documented max_file_size limit.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-08 18:26 UTC
CWE
Assigner
References
11 references
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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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