Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2026-9082 is a critical-severity SQL Injection (CWE-89) vulnerability in Drupal Drupal. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 0.2% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog.
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.
CVE-2026-9082 is an SQL injection vulnerability arising from improper neutralization of special elements in SQL commands, present in Drupal core. It affects versions from 8.9.0 before 10.4.10, from 10.5.0 before 10.5.10, from 10.6.0 before 10.6.9, from 11.0.0 before 11.1.10, from 11.2.0 before 11.2.12, and from 11.3.0 before 11.3.10.
An unauthenticated remote attacker can supply crafted input over the network to execute arbitrary SQL commands against the database, potentially achieving full confidentiality, integrity, and availability impact on the affected Drupal installation.
The referenced Drupal security advisory SA-CORE-2026-004 and CISA Known Exploited Vulnerabilities catalog entry direct administrators to apply the listed patches that remediate the flaw in each affected branch.
The EPSS score rose from a low baseline after disclosure to a peak of 0.3465 on 2026-05-31 before receding to the current value of 0.1040, and the vulnerability's presence in the CISA KEV catalog indicates confirmed real-world exploitation activity.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-31153
Vulnerability Data
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Drupal Drupal core allows SQL Injection. This issue affects Drupal core: from 8.9.0 before 10.4.10, from 10.5.0 before 10.5.10, from 10.6.0 before 10.6.9, from 11.0.0 before…
more
11.1.10, from 11.2.0 before 11.2.12, from 11.3.0 before 11.3.10.
- CWE(s)
- KEV Date Added
- 22 May 2026
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.