CVE-2025-13209 (GCVE-0-2025-13209)
Vulnerability from cvelistv5 – Published: 2025-11-15 18:32 – Updated: 2025-11-17 15:58
VLAI
EPSS
VEX
Title
bestfeng oa_git_free WorkflowPredefineController.java updateWriteBack xml external entity reference
Summary
A weakness has been identified in bestfeng oa_git_free up to 9.5. This affects the function updateWriteBack of the file yimioa-oa9.5\server\c-flow\src\main\java\com\cloudweb\oa\controller\WorkflowPredefineController.java. This manipulation of the argument writeProp causes xml external entity reference. The attack is possible to be carried out remotely. The exploit has been made available to the public and could be exploited.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-17 15:58 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.332528 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.332528 | signaturepermissions-required |
| https://vuldb.com/?submit.685626 | third-party-advisory |
| https://github.com/bkglfpp/CVE-md/blob/main/%E4%B… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| bestfeng | oa_git_free |
Affected:
9.0
Affected: 9.1 Affected: 9.2 Affected: 9.3 Affected: 9.4 Affected: 9.5 |
guessed |
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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.