Cyber Resilience

CVE-2024-42898

XSS in Nagios Xi 2024

Public PoCXSS
Published
09 January 2025
Modified
24 June 2025
Patch / advisory
View advisory
CVSS Score v3.1 5.4
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0059 45th percentile
Risk Priority 48 floored blend · peak EPSS

Summary

CVE-2024-42898 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Nagios Nagios Xi. Its CVSS base score is 5.4 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 45th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

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.

A cross-site scripting vulnerability tracked as CVE-2024-42898 affects Nagios XI version 2024R1.1.4. The flaw resides in the Account Settings page, where unsanitized input supplied to the Name parameter permits injection of arbitrary web scripts or HTML. The issue is classified under CWE-79 and carries a CVSS 3.1 score of 5.4, reflecting network attack vector, low attack complexity, and required low-privileged credentials plus user interaction.

An authenticated user with low privileges can place a crafted payload in the Name field. When another user views the affected account settings, the script executes in the context of the victim's session, enabling theft of session tokens or limited actions within the Nagios XI application. The reflected nature of the XSS and the change of scope to other users are reflected in the CVSS metrics.

Public references point to a Nagios security page and a GitHub repository containing technical details of the finding. The associated EPSS score reached a modest peak of 0.0534 several months after disclosure before receding to its current value of 0.0375, indicating limited but observable post-disclosure interest.

OWASP Top 10 for Web (2025)

A05:2025 Injection

EU & UK References

Vulnerability Data

A cross-site scripting (XSS) vulnerability in Nagios XI 2024R1.1.4 allows attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the Name parameter in the Account Settings page.

CWE(s)
CWE-79

Related Threats

MITRE ATT&CK Enterprise Techniques

T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
attack.mitre.org →
T1539 Steal Web Session Cookie Credential Access
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials.
attack.mitre.org →
T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
attack.mitre.org →
T1189 Drive-by Compromise Initial Access
Adversaries may gain access to a system through a user visiting a website over the normal course of browsing.
attack.mitre.org →
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-40932Same product: Nagios Nagios Xi
CVE-2023-37308Same product class: network monitoring / SIEM
CVE-2023-33231Same product class: network monitoring / SIEM
CVE-2023-6364Same product class: network monitoring / SIEM
CVE-2023-23073Same product class: network monitoring / SIEM
CVE-2023-6367Same product class: network monitoring / SIEM
CVE-2023-29442Same product class: network monitoring / SIEM
CVE-2023-38331Same product class: network monitoring / SIEM
CVE-2023-38333Same product class: network monitoring / SIEM
CVE-2023-28341Same 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)
  • V1.1.2
  • V1.3.2

Mitigating Controls (NIST 800-53 r5) AI

SA-11 Developer Testing and Evaluation good match

Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.

SI-10 Information Input Validation good match

Input validation directly enforces neutralization of untrusted data before it reaches web output generation.

SI-15 Information Output Filtering good match

Output filtering can catch or sanitize unneutralized script content before it is served to users.

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 introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).

PR.PS-02 partial match
prevents

Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).

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.

A.8.29 Security testing in development and acceptance mostly match
finds

Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.

A.5.6 Contact with special interest groups partial match
prevents

Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.

A.5.7 Threat intelligence partial match
prevents

Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.

A.8.25 Secure development life cycle partial match
prevents

Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.

A.8.28 Secure coding partial match
prevents

Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.

A.8.7 Protection against malware none match
none

Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.

References