CVE-2020-17463
SQLi in Thedaylightstudio Fuel Cms 1.4.7
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2020-17463 is a critical-severity SQL Injection (CWE-89) vulnerability in Thedaylightstudio Fuel Cms. 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; 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.
FUEL CMS version 1.4.7 contains an SQL injection vulnerability (CWE-89) that affects the col parameter in the administrative endpoints /pages/items, /permissions/items, and /navigation/items. The flaw permits unsanitized input to be passed directly into database queries, resulting in a CVSS 3.1 base score of 9.8.
An unauthenticated attacker with network access can supply a crafted col value to these endpoints and execute arbitrary SQL statements. Successful exploitation grants full read, write, and delete access to the underlying database, enabling data exfiltration, privilege escalation, or persistent compromise of the CMS installation.
The vendor addressed the issue in release 1.4.8, available from the project GitHub repository and the official getfuelcms.com site. Public exploit code demonstrating the injection has been published on Packet Storm.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2020-9415
Vulnerability Data
FUEL CMS 1.4.7 allows SQL Injection via the col parameter to /pages/items, /permissions/items, or /navigation/items.
- CWE(s)
- KEV Date Added
- 10 December 2021
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.