CVE-2024-41656
July 23, 2024, 10:15 p.m.
7.1
High
Description
Sentry is an error tracking and performance monitoring platform. Starting in version 10.0.0 and prior to version 24.7.1, an unsanitized payload sent by an Integration platform integration allows storing arbitrary HTML tags on the Sentry side with the subsequent rendering them on the Issues page. Self-hosted Sentry users may be impacted in case of untrustworthy Integration platform integrations sending external issues from their side to Sentry. A patch has been released in Sentry 24.7.1. For Sentry SaaS customers, no action is needed. This has been patched on July 23, and even prior to the fix, the exploitation was not possible due to the strict Content Security Policy deployed on sentry.io site. For self-hosted users, the maintainers of Sentry strongly recommend upgrading Sentry to the latest version. If it is not possible, one could enable CSP on one's self-hosted installation with `CSP_REPORT_ONLY = False` (enforcing mode). This will mitigate the risk of cross-site scripting.
Product(s) Impacted
| Product | Versions |
|---|---|
| Sentry |
|
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.
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
Timeline
Published: July 23, 2024, 10:15 p.m.
Last Modified: July 23, 2024, 10:15 p.m.
Last Modified: July 23, 2024, 10:15 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.