CVE-2024-43364
XSS in Cacti ≤ 1.2.28
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:HSummary
CVE-2024-43364 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Cacti Cacti. Its CVSS base score is 5.7 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 2% of CVEs by exploit likelihood; 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.
Cacti, an open source performance and fault management framework, contains a stored cross-site scripting vulnerability tracked as CVE-2024-43364 and CWE-79. The title parameter supplied when saving external links via links.php is not sanitized before storage in the database and is later reflected without escaping on index.php, allowing script injection.
Users holding the privilege to create external links can exploit the flaw by crafting a malicious title value in the HTTP POST request to links.php. The injected payload is persisted and executes in the browsers of other users who view the affected page, producing a stored XSS impact rated at CVSS 5.7 with network attack vector, low complexity, and high availability consequences.
The GitHub security advisory GHSA-fgc6-g8gc-wcg5 and the Debian LTS announcement state that the issue is resolved in Cacti 1.2.28 and that no workarounds exist, directing all users to upgrade. The associated EPSS score reached a peak of 0.0754 after disclosure before settling at the current value of 0.0529.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-40252
Vulnerability Data
Cacti is an open source performance and fault management framework. The `title` parameter is not properly sanitized when saving external links in links.php . Morever, the said title parameter is stored in the database and reflected back to user in…
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index.php, finally leading to stored XSS. Users with the privilege to create external links can manipulate the `title` parameter in the http post request while creating external links to perform stored XSS attacks. The vulnerability known as XSS (Cross-Site Scripting) occurs when an application allows untrusted user input to be displayed on a web page without proper validation or escaping. This issue has been addressed in release version 1.2.28. All 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
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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.