🛡️ CVE-2025-27102
Description
Agate is central authentication server software for OBiBa epidemiology applications. Prior to version 3.3.0, when registering for an Agate account, arbitrary HTML code can be injected into a user's first and last name. This HTML is then rendered in the email sent to administrative users. The Agate service account sends this email and appears trustworthy, making this a significant risk for phishing attacks. Administrative users are impacted, as they can be targeted by unauthenticated users. Version 3.3.0 fixes the issue.
Weakness class
CVE-2025-27102 is classified as CWE-79: Cross-site Scripting (XSS). User-supplied data is written into a page without escaping, so attacker script runs in the browser of anyone who views it.
Affected software
CVE-2025-27102 is recorded against 1 package.
- unknown
Timeline and source
Published on 17 March 2025 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.
References
Details
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| unknown | — | — |
References
Similar Threats
- Unknown CVE-2022-0003
- Unknown CVE-2022-0303
- High CVE-2022-1206
- Unknown CVE-2022-0931
- Unknown CVE-2022-0094
More CVE 2025 advisories
Browse all of CVE 2025 in the advisory index.
Free Vulnerability Check
Is your site affected by CVE-2025-27102?
BotEraser helps you identify potentially vulnerable plugins and themes by checking your installation against CVE-2025-27102 and other known CVE records.
Scan My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.