Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:NSummary
CVE-2024-45741 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Splunk Splunk. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 4% 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-2024-45741 is a cross-site scripting vulnerability affecting Splunk Enterprise versions below 9.2.3 and 9.1.6 as well as Splunk Cloud Platform versions below 9.2.2403.108 and 9.1.2312.205. A low-privileged user without the admin or power role can supply a malicious payload via a custom configuration file referenced by the api.uri parameter on the /manager/search/apps/local endpoint in Splunk Web, resulting in unauthorized JavaScript execution in a victim's browser.
An attacker with limited Splunk access can exploit the flaw by crafting the configuration file so that the stored payload executes when another user views the affected page. Successful exploitation allows the attacker to run arbitrary JavaScript in the context of the targeted user's session, potentially leading to limited data exposure or session manipulation while the CVSS vector reflects network attack vector, low complexity, and required user interaction.
The referenced Splunk advisory SVD-2024-1011 and associated research note direct customers to upgrade Splunk Enterprise to 9.2.3 or 9.1.6 and Splunk Cloud Platform to 9.2.2403.108 or 9.1.2312.205 to remediate the issue. The EPSS score has remained flat at 0.0530 with no material increase since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-41689
Vulnerability Data
In Splunk Enterprise versions below 9.2.3 and 9.1.6 and Splunk Cloud Platform versions below 9.2.2403.108 and 9.1.2312.205, a low-privileged user that does not hold the "admin" or "power" Splunk roles could create a malicious payload through a custom configuration file…
more
that the "api.uri" parameter from the "/manager/search/apps/local" endpoint in Splunk Web calls. This could result in execution of unauthorized JavaScript code in the browser of a user.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.
Input validation directly enforces neutralization of untrusted data before it reaches web output generation.
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.
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).
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.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
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.
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.
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.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.