CVE-2024-41953
July 31, 2024, 5:15 p.m.
4.3
Medium
Description
Zitadel is an open source identity management system. ZITADEL uses HTML for emails and renders certain information such as usernames dynamically. That information can be entered by users or administrators. Due to a missing output sanitization, these emails could include malicious code. This may potentially lead to a threat where an attacker, without privileges, could send out altered notifications that are part of the registration processes. An attacker could create a malicious link, where the injected code would be rendered as part of the email. On the user's detail page, the username was also not sanitized and would also render HTML, giving an attacker the same vulnerability. While it was possible to inject HTML including javascript, the execution of such scripts would be prevented by most email clients and the Content Security Policy in Console UI. This vulnerability is fixed in 2.58.1, 2.57.1, 2.56.2, 2.55.5, 2.54.8 2.53.9, and 2.52.3.
Product(s) Impacted
| Product | Versions |
|---|---|
| Zitadel |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
Timeline
Published: July 31, 2024, 5:15 p.m.
Last Modified: July 31, 2024, 5:15 p.m.
Last Modified: July 31, 2024, 5:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.