CVE-2026-86284 (GCVE-0-2026-86284)
Vulnerability from cvelistv5 – Published: 2026-09-07 08:00 – Updated: 2026-09-08 14:18 X_Open Source
VLAI
EPSS
VEX
Title
jaychouchannel Tourism-Management-System CommonController.java getOption information disclosure
Summary
A security vulnerability has been detected in jaychouchannel Tourism-Management-System up to 8122bf020d91199eddfff3ee02d1632a70a9a132. Affected by this vulnerability is the function getOption of the file travel/src/main/java/com/controller/CommonController.java. The manipulation of the argument tableName/columnName leads to information disclosure. The attack may be initiated remotely. The exploit has been disclosed publicly and may be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The identifier of the patch is d44ec3aa0bd2a72c8800e3befb0a9a96a6491b86. To fix this issue, it is recommended to deploy a patch.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 14:15 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/399444 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/399444/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-86284 | third-party-advisory |
| https://vuldb.com/submit/905644 | third-party-advisory |
| https://github.com/jaychouchannel/Tourism_Managem… | broken-linkexploitissue-tracking |
| https://github.com/jaychouchannel/Tourism-Managem… | issue-trackingpatch |
| https://github.com/jaychouchannel/Tourism-Managem… | broken-linkpatch |
| https://github.com/jaychouchannel/Tourism-Managem… | broken-linkproduct |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| jaychouchannel | Tourism-Management-System |
Affected:
8122bf020d91199eddfff3ee02d1632a70a9a132
cpe:2.3:a:jaychouchannel:tourism-management-system:*:*:*:*:*:*:*:* |
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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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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.
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