CVE-2025-15121
2.4 · LOWOverview
CVE-2025-15121 is a low-severity vulnerability affecting jeecg jeecg_boot. It was published on December 28, 2025 and has a CVSS 3.1 base score of 2.4 (LOW).
This vulnerability has a CVSS 3.1 base score of 2.4, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical Description
A vulnerability has been found in JeecgBoot up to 3.9.0. The affected element is the function getDeptRoleByUserId of the file /sys/sysDepartRole/getDeptRoleByUserId. Such manipulation of the argument departId leads to information disclosure. The vendor was contacted early about this disclosure but did not respond in any way.
Remediation
Check the references section for vendor advisories and patches from jeecg. Update jeecg_boot to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| jeecg | jeecg_boot | 0 | Affected |
Frequently Asked Questions
What is CVE-2025-15121?
CVE-2025-15121 is a low-severity vulnerability affecting jeecg jeecg_boot. It was published on December 28, 2025 and has a CVSS 3.1 base score of 2.4 (LOW).
How severe is CVE-2025-15121?
This vulnerability has a CVSS 3.1 base score of 2.4, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-15121?
Check the references section for vendor advisories and patches from jeecg. Update jeecg_boot to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-15121?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-15121 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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