CVE-2025-11321 (GCVE-0-2025-11321)
Vulnerability from cvelistv5 – Published: 2025-10-06 05:02 – Updated: 2025-10-06 17:20
VLAI
EPSS
VEX
Title
zhuimengshaonian wisdom-education WrongBookController.java authorization
Summary
A vulnerability was detected in zhuimengshaonian wisdom-education up to 1.0.4. The affected element is an unknown function of the file src/main/java/com/education/api/controller/student/WrongBookController.java. Performing manipulation of the argument subjectId results in authorization bypass. The attack can be initiated remotely. The exploit is now public and may be used.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-06 17:20 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.327202 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.327202 | signaturepermissions-required |
| https://vuldb.com/?submit.664395 | third-party-advisory |
| https://github.com/xkalami-Tta0/CVE/blob/main/wis… | related |
| https://github.com/xkalami-Tta0/CVE/blob/main/wis… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| zhuimengshaonian | wisdom-education |
Affected:
1.0.0
Affected: 1.0.1 Affected: 1.0.2 Affected: 1.0.3 Affected: 1.0.4 |
guessed |
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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.