Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-7787 is a low-severity SSRF (CWE-918) vulnerability in Xuxueli Xxl-Job. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 35th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-7787 is a critical server-side request forgery (SSRF) vulnerability, classified under CWE-918, affecting Xuxueli xxl-job versions up to 3.1.1. The issue resides in the httpJobHandler function within the file src/main/java/com/xxl/job/executor/service/jobhandler/SampleXxlJob.java. It enables remote manipulation leading to SSRF, with a CVSS v3.1 base score of 6.3 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L). The vulnerability was published on 2025-07-18.
An attacker with low privileges (PR:L), such as an authenticated user, can exploit this remotely over the network with low complexity and no user interaction required. Successful exploitation allows limited impacts on confidentiality, integrity, and availability through SSRF, potentially enabling unauthorized requests to internal resources. The exploit has been publicly disclosed and may be used by attackers.
Advisories and details are available in GitHub issue #3749 on the xuxueli/xxl-job repository and VulDB entries (ctiid.316848, id.316848, submit.615741), where the vulnerability was reported and analyzed. Practitioners should review these sources for any patches, workarounds, or upgrade guidance, as no specific mitigation details are outlined in the core CVE data.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-21877
Vulnerability Data
A vulnerability, which was classified as critical, was found in Xuxueli xxl-job up to 3.1.1. Affected is the function httpJobHandler of the file src\main\java\com\xxl\job\executor\service\jobhandler\SampleXxlJob.java. The manipulation leads to server-side request forgery. It is possible to launch the attack remotely. The…
more
exploit has been disclosed to the public and may be used.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.