CVE-2026-25736 (GCVE-0-2026-25736)
Vulnerability from cvelistv5 – Published: 2026-02-25 19:50 – Updated: 2026-02-26 15:59
VLAI
EPSS
VEX
Title
Rucio WebUI has a Stored Cross-site Scripting (XSS) Vulnerability in its Custom RSE Attribute
Summary
Rucio is a software framework that provides functionality to organize, manage, and access large volumes of scientific data using customizable policies. Versions prior to 35.8.3, 38.5.4, and 39.3.1 have a stored Cross-Site Scripting (XSS) vulnerability in the Custom RSE Attribute of the WebUI where attacker-controlled input is persisted by the backend and later rendered in the WebUI without proper output encoding. This allows arbitrary JavaScript execution in the context of the WebUI for users who view affected pages, potentially enabling session token theft or unauthorized actions. Versions 35.8.3, 38.5.4, and 39.3.1 fix the issue.
Severity
6.1 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-26 15:59 UTC
CWE
Assigner
GitHub_M
CNA
References
5 references
| URL | Tags |
|---|---|
| https://github.com/rucio/rucio/security/advisorie… | x_refsource_CONFIRM |
| https://cheatsheetseries.owasp.org/cheatsheets/Cr… | x_refsource_MISC |
| https://github.com/rucio/rucio/releases/tag/35.8.3 | x_refsource_MISC |
| https://github.com/rucio/rucio/releases/tag/38.5.4 | x_refsource_MISC |
| https://github.com/rucio/rucio/releases/tag/39.3.1 | x_refsource_MISC |
Impacted products
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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
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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.
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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
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