Cyber Resilience

CVE-2018-8734

SQLi in Nagios Xi 5.2.0 – 5.4.13

Public PoCHigh EPSSSQLi
Published
18 April 2018
Modified
21 November 2024
Patch / advisory
CVSS Score v3 9.8
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.53 99th percentile
Risk Priority 97 floored blend · peak EPSS

Summary

CVE-2018-8734 is a critical-severity SQL Injection (CWE-89) vulnerability in Nagios Nagios Xi. Its CVSS base score is 9.8 (Critical).

Operationally, ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

SQL injection vulnerability in the core config manager in Nagios XI 5.2.x through 5.4.x before 5.4.13 allows an attacker to execute arbitrary SQL commands via the selInfoKey1 parameter.

CWE(s)

Related Threats

Likely ATT&CK TechniquesAI

Techniques this vulnerability likely enables, inferred from its description, weakness type, and attributed-actor tradecraft. Confidence is per-technique.

T1190 Exploit Public-Facing Application Initial Accessconfidence: HIGH
SQL injection in a publicly reachable Nagios XI component directly enables exploitation of a public-facing web application.
T1059 Command and Scripting Interpreter Executionconfidence: MEDIUM
Successful SQL injection can be leveraged to execute operating-system commands through the database, enabling command/script interpreter execution.
T1068 Exploitation for Privilege Escalation Privilege Escalationconfidence: MEDIUM
Arbitrary SQL execution in the Nagios XI database can be used to escalate privileges within the application or underlying OS.
inferred from description + CWE · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2023-40933Same product: Nagios Nagios Xi
CVE-2023-40931Same product: Nagios Nagios Xi
CVE-2023-48084Same product: Nagios Nagios Xi
CVE-2021-37350Same product: Nagios Nagios Xi
CVE-2023-40934Same product: Nagios Nagios Xi
CVE-2024-24401Same product: Nagios Nagios Xi
CVE-2024-36514Same product class: network monitoring / SIEM
CVE-2019-17602Same product class: network monitoring / SIEM
CVE-2013-5743Same product class: network monitoring / SIEM
CVE-2022-43671Same product class: network monitoring / SIEM

Affected Assets

nagios
nagios xi
5.2.0 — 5.4.13

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • 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.

addresses: CWE-89

Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.

addresses: CWE-89

Validates query inputs to prevent SQL syntax or command manipulation.

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.

PR.PS-06 mostly match
prevents

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.

PR.AT-02 partial match
prevents

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.

detects

The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.

prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

prevents

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.

prevents

Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.

References