CVE-2025-10384 (GCVE-0-2025-10384)
Vulnerability from cvelistv5 – Published: 2025-09-13 19:32 – Updated: 2025-09-15 15:42
VLAI
EPSS
VEX
Title
yangzongzhuan RuoYi Role cancelAll improper authorization
Summary
A flaw has been found in yangzongzhuan RuoYi up to 4.8.1. Affected by this vulnerability is an unknown functionality of the file /system/role/authUser/cancelAll of the component Role Handler. Executing manipulation of the argument roleId/userIds can lead to improper authorization. The attack may be performed from remote. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-15 15:42 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.323819 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.323819 | signaturepermissions-required |
| https://vuldb.com/?submit.643810 | third-party-advisory |
| https://www.cnblogs.com/aibot/p/19063509 | broken-linkexploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| yangzongzhuan | RuoYi |
Affected:
4.8.0
Affected: 4.8.1 |
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
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vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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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
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.