CVE-2023-31223: Dradis · Cross-site Scripting
Source CVE Database V5
Not known to be exploited · CVSS 8.7 High · fixed in 4.8.0 : patch affected systems soon.
Data as of 26 Oct 2026, 10:12 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 43% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 4.8.0
CVSS:3.1/AC:L/AV:N/A:N/C:H/I:H/PR:L/S:C/UI:RExploitation evidence
Disclosed: evidence found.
CVE published 25 Apr 2023
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| n/a n/a | Affected
| Fixed in
|
AI-suggested
To mitigate this vulnerability, organizations should upgrade Dradis to version 4.8.0 or later, where the issue has been addressed. In the absence of an immediate upgrade, administrators should restrict author-level privileges to trusted users only and monitor user activities closely. Implementing Content Security Policy (CSP) headers can help reduce the impact of XSS by restricting the execution of unauthorized scripts. Additionally, web application firewalls (WAFs) configured to detect and block XSS payloads can provide a temporary protective layer. Regular security audits and user training on safe usage practices are recommended to minimize the risk of exploitation. Finally, organizations should review and sanitize all user-generated content related to avatars and other input fields to prevent injection of malicious code.
Description
Dradis before 4.8.0 allows persistent XSS by authenticated author users, related to avatars.