CVE-2022-50804 (GCVE-0-2022-50804)
Vulnerability from cvelistv5 – Published: 2025-12-30 22:41 – Updated: 2026-01-16 19:00
VLAI
EPSS
VEX
Title
JM-DATA ONU JF511-TV 1.0.67 Cross-Site Request Forgery (CSRF) Vulnerability
Summary
JM-DATA ONU JF511-TV version 1.0.67 is vulnerable to cross-site request forgery (CSRF) attacks, allowing attackers to perform administrative actions on behalf of authenticated users without their knowledge or consent.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-02 14:25 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | third-party-advisory |
| https://packetstormsecurity.com/files/167487/ | exploit |
| https://cxsecurity.com/issue/WLB-2022060058 | third-party-advisory |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entry |
| https://www.jm-data.com/ | product |
| https://www.vulncheck.com/advisories/jm-data-onu-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| JM-DATA ONU | JF511-TV |
Affected:
1.0.67
Affected: 1.0.62 Affected: 1.0.55 |
guessed |
Date Public
2022-06-14 00:00
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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.
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.