Security Resilience

CVE-2024-24401

SQLi in Nagios Xi 2024

Published
26 February 2024
Modified
17 June 2026
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.46 99th percentile
Risk Priority 93 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-24401 is a critical-severity SQL Injection (CWE-89) vulnerability in Nagios Nagios Xi. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV 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-2024-24401 is a SQL injection vulnerability, tracked under CWE-89, that affects Nagios XI version 2024R1.01. The flaw resides in the monitoringwizard.php component and carries a CVSS 3.1 base score of 9.8, reflecting network-accessible, unauthenticated attack vectors that can result in complete loss of confidentiality, integrity, and availability.

A remote attacker can supply a crafted payload to monitoringwizard.php and leverage the injection to execute arbitrary code on the affected Nagios XI instance without requiring credentials or user interaction.

The supplied references point to the Nagios changelog pages, which typically document version updates and fixes for the product line.

EPSS for the CVE rose from lower values to a peak of 0.5797 on 2026-03-16 before receding to the current score of 0.3910, indicating that exploitation interest increased substantially after public disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

SQL Injection vulnerability in Nagios XI 2024R1.01 allows a remote attacker to execute arbitrary code via a crafted payload to the monitoringwizard.php component.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001.003 Protocol or Service Impersonation Command And Control
Adversaries may impersonate legitimate protocols or web service traffic to disguise command and control activity and thwart analysis efforts.
T1003 OS Credential Dumping Credential Access
Adversaries may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password.
T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-48084Same product: Nagios Nagios Xi
CVE-2023-40934Same product: Nagios Nagios Xi
CVE-2018-8734Same product: Nagios Nagios Xi
CVE-2023-40931Same product: Nagios Nagios Xi
CVE-2023-40933Same product: Nagios Nagios Xi
CVE-2021-37350Same product: Nagios Nagios Xi
CVE-2024-21791Same product class: network monitoring / SIEM
CVE-2022-40300Same product class: network monitoring / SIEM
CVE-2023-49335Same product class: network monitoring / SIEM
CVE-2023-48793Same product class: network monitoring / SIEM

Affected Assets

nagios
nagios xi
2024

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

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.

PR.PS-06 mostly match
blocks

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
blocks

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.

removes
removes
removes
removes
blocks

A.5.6 only improves knowledge flow, awareness of threats/patches and access to specialist advice; it does not stop SQL injection from being exploitable in code that still contains the flaw.

References