Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2023-25813 is a critical-severity SQL Injection (CWE-89) vulnerability in Sequelizejs Sequelize. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 29% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Sequelize, a Node.js object-relational mapping library, contains a SQL injection vulnerability in all versions prior to 6.19.1. The flaw arises because parameters supplied through the replacements mechanism are not properly escaped before being incorporated into queries, allowing arbitrary SQL injection when replacements are used together with the where option.
An unauthenticated remote attacker can supply crafted replacement values in application queries that reach the database layer, resulting in full read, write, or modification of database contents depending on the affected queries and database privileges. The issue carries a CVSS score of 10.0 and is tracked under CWE-89.
Official advisories and the 6.19.1 release notes direct users to upgrade immediately. Where an upgrade is not feasible, applications must avoid combining the replacements feature with the where clause in the same query. The associated EPSS score remains low, with a modest peak of 0.0508 recorded well after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0814
Vulnerability Data
Sequelize is a Node.js ORM tool. In versions prior to 6.19.1 a SQL injection exploit exists related to replacements. Parameters which are passed through replacements are not properly escaped which can lead to arbitrary SQL injection depending on the specific…
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queries in use. The issue has been fixed in Sequelize 6.19.1. Users are advised to upgrade. Users unable to upgrade should not use the `replacements` and the `where` option in the same query.
- 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
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
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.