Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/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-2025-32969 is a critical-severity SQL Injection (CWE-89) vulnerability in Xwiki Xwiki. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 0.5% of CVEs by exploit likelihood; 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 a blind SQL injection vulnerability in versions from 1.8 through 15.10.15, 16.4.5, and 16.10.0. The flaw allows a remote unauthenticated attacker to escape the HQL execution context and inject arbitrary SQL statements against the database backend, bypassing the platform's options that restrict unregistered users from viewing or editing pages. The issue stems from insufficient sanitization in HQL query handling and is tracked as CWE-89.
An unauthenticated remote attacker can exploit the vulnerability over the network to execute SELECT queries that extract sensitive data such as password hashes, and on many database backends also run UPDATE, INSERT, or DELETE statements that alter or destroy content. The CVSS 4.0 score of 9.3 reflects the combination of network attack vector, low complexity, and high impact on confidentiality, integrity, and availability without any required privileges or user interaction.
The official XWiki security advisory and accompanying patches state that the issue is resolved in releases 15.10.16, 16.4.6, and 16.10.1; the project provides no workaround other than upgrading. A linked commit on the xwiki-platform repository and the corresponding Jira ticket document the code change that closes the HQL escape path.
EPSS for the CVE rose from a low baseline to a peak of 0.3140 on 2026-05-05 before receding to the current value of 0.1280, indicating measurable post-disclosure exploitation interest that later subsided.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-12170
Vulnerability Data
XWiki is a generic wiki platform. In versions starting from 1.8 and prior to 15.10.16, 16.4.6, and 16.10.1, it is possible for a remote unauthenticated user 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, including when "Prevent unregistered users from viewing pages, regardless of the page rights" and "Prevent unregistered users from editing pages, regardless of the page rights" options are enabled. 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.
- 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.