Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/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-2025-32968 is a high-severity SQL Injection (CWE-89) vulnerability in Xwiki Xwiki. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 42th 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 SA-11 (Developer Testing and Evaluation) 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.
XWiki is a generic wiki platform affected by CVE-2025-32968, a blind SQL injection vulnerability present in versions from 1.6-milestone-1 through 15.10.15, 16.4.5, and 16.10.0. The flaw allows a user holding SCRIPT right to break out of the HQL execution context in a REST API endpoint and inject arbitrary SQL statements against the backend database. The issue is tracked under CWE-89 and carries a CVSS 4.0 score of 8.6.
An attacker with SCRIPT right can exploit the weakness to retrieve sensitive data such as password hashes or, depending on the database backend, issue UPDATE, INSERT, or DELETE statements. Because the injection occurs through an authenticated API path, the attacker needs no additional user interaction or special network position beyond the granted script privilege.
The GitHub Security Advisory GHSA-g9jj-75mx-wjcx and the linked XWiki Jira ticket XWIKI-22718 state that the vulnerability is fixed in releases 15.10.16, 16.4.6, and 16.10.1. The correction applies the same query-validation logic already used for complete SELECT statements; no other workaround is provided.
EPSS for the CVE rose from a low baseline to a recorded peak of 0.0123, indicating that exploitation interest increased after public disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-12169
Vulnerability Data
XWiki is a generic wiki platform. In versions starting from 1.6-milestone-1 to before 15.10.16, 16.4.6, and 16.10.1, it is possible for a user with SCRIPT right to escape from the HQL execution context and perform a blind SQL injection to…
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execute arbitrary SQL statements on the database backend. Depending on the used database backend, the attacker may be able to not only obtain confidential information such as password hashes from the database, but also execute UPDATE/INSERT/DELETE queries. This issue has been patched in versions 16.10.1, 16.4.6 and 15.10.16. There is no known workaround, other than upgrading XWiki. The protection added to this REST API is the same as the one used to validate complete select queries, making it more consistent. However, while the script API always had this protection for complete queries, it's important to note that it's a very strict protection and some valid, but complex, queries might suddenly require the author to have programming right.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
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 SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.