Cyber Resilience

CVE-2024-31444

XSS in Cacti ≤ 1.2.27

Public PoCXSS
Published
14 May 2024
Modified
04 November 2025
Patch / advisory
CVSS Score v3.1 4.6
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:L
EPSS Score 0.15 96th percentile
Risk Priority 49 floored blend · peak EPSS

Summary

CVE-2024-31444 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Cacti Cacti. Its CVSS base score is 4.6 (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; 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 operational monitoring and fault management framework, contains a cross-site scripting vulnerability (CVE-2024-31444, CWE-79) in versions prior to 1.2.27. The flaw occurs because data passed to the automation_tree_rules_form_save() function in automation_tree_rules.php is not adequately validated before being concatenated into an HTML statement inside the form_confirm() function from lib/html.php.

An authenticated attacker with low privileges can supply crafted input that results in script execution when a victim user interacts with the affected page. The CVSS 4.6 score reflects network attack vector, low complexity, required user interaction, and impacts limited to integrity and availability without confidentiality loss.

The official GitHub advisory GHSA-p4ch-7hjw-6m87 states that version 1.2.27 contains a patch for the issue. Corresponding notices from Fedora and Debian likewise direct administrators to apply the updated package to eliminate the vulnerability. The associated EPSS score has remained flat at 0.0940 with no material increase since disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Cacti provides an operational monitoring and fault management framework. Prior to version 1.2.27, some of the data stored in `automation_tree_rules_form_save()` function in `automation_tree_rules.php` is not thoroughly checked and is used to concatenate the HTML statement in `form_confirm()` function from `lib/html.php`…

more

, finally resulting in cross-site scripting. Version 1.2.27 contains a patch for the issue.

CWE(s)

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.
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.
T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
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.
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.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-39511Same product: Cacti Cacti
CVE-2023-39513Same product: Cacti Cacti
CVE-2023-39516Same product: Cacti Cacti
CVE-2023-39360Same product: Cacti Cacti
CVE-2023-39366Same product: Cacti Cacti
CVE-2023-39512Same product: Cacti Cacti
CVE-2023-39514Same product: Cacti Cacti
CVE-2023-39510Same product: Cacti Cacti
CVE-2023-39515Same product: Cacti Cacti
CVE-2023-28439Same product: Fedoraproject Fedora

Affected Assets

cacti
cacti
≤ 1.2.27
fedoraproject
fedora
39

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

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.

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.

finds

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

prevents

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

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.

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.

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.

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