Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-39359 is a high-severity SQL Injection (CWE-89) vulnerability in Fedoraproject Fedora. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 25% 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.
Cacti, an open source operational monitoring and fault management framework, contains an authenticated SQL injection vulnerability in the graphs.php file. The flaw occurs when the site_id parameter is supplied with a value greater than zero in the ajax_hosts and ajax_hosts_noany code paths, causing the value to be directly concatenated into the WHERE clause of an SQL statement without proper sanitization. This issue is tracked as CWE-89 and carries a CVSS 3.1 score of 8.8.
An authenticated user can exploit the injection to escalate privileges and achieve remote code execution on the affected Cacti instance. Because the attack requires only low-privileged credentials and no user interaction, an attacker with network access to the web interface can leverage the vulnerability to run arbitrary SQL commands that ultimately lead to command execution on the underlying server.
Official advisories, including the GitHub Security Advisory and subsequent distribution notices from Fedora and Debian, state that the issue is resolved in Cacti 1.2.25 and that no workarounds are available; administrators are therefore directed to upgrade promptly. The EPSS score has remained flat at 0.0558 since disclosure, indicating no material increase in observed exploitation interest.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-43085
Vulnerability Data
Cacti is an open source operational monitoring and fault management framework. An authenticated SQL injection vulnerability was discovered which allows authenticated users to perform privilege escalation and remote code execution. The vulnerability resides in the `graphs.php` file. When dealing with…
more
the cases of ajax_hosts and ajax_hosts_noany, if the `site_id` parameter is greater than 0, it is directly reflected in the WHERE clause of the SQL statement. This creates an SQL injection vulnerability. This issue has been addressed in version 1.2.25. Users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
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.