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CVE-2024-31544VulnerabilityPublished Updated

CVE-2024-31544: n/a

Source CVE Database V5

0

Not known to be exploited · CVSS 5.4 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
5.4Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 38% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 9 Apr 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

AI-suggested

To mitigate CVE-2024-31544, organizations should implement strict input validation and output encoding on all user-supplied data fields, especially 'remarks', 'borrower_name', and 'faculty_department'. Employ context-aware encoding (e.g., HTML entity encoding) before rendering data in web pages to prevent script execution. Use security libraries or frameworks that automatically handle XSS protections. Conduct thorough code reviews focusing on input handling and sanitization. Implement Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts. Regularly update and patch the Computer Laboratory Management System when vendor fixes become available. Additionally, educate users about the risks of clicking on suspicious links or inputs and monitor logs for unusual activity that may indicate exploitation attempts. If possible, isolate the management system within a segmented network to limit exposure.

Description

A stored cross-site scripting (XSS) vulnerability in Computer Laboratory Management System v1.0 allows attackers to execute arbitrary JavaScript code by including malicious payloads into “remarks”, “borrower_name”, “faculty_department” parameters in /classes/Master.php?f=save_record.

References

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