CVE-2024-51992
Nov. 12, 2024, 1:55 p.m.
4.1
Medium
Description
Orchid is a @laravel package that allows for rapid application development of back-office applications, admin/user panels, and dashboards. This vulnerability is a method exposure issue (CWE-749: Exposed Dangerous Method or Function) in the Orchid Platform’s asynchronous modal functionality, affecting users of Orchid Platform version 8 through 14.42.x. Attackers could exploit this vulnerability to call arbitrary methods within the `Screen` class, leading to potential brute force of database tables, validation checks against user credentials, and disclosure of the server’s real IP address. The issue has been patched in the latest release, version 14.43.0, released on November 6, 2024. Users should upgrade to version 14.43.0 or later to address this vulnerability. If upgrading to version 14.43.0 is not immediately possible, users can mitigate the vulnerability by implementing middleware to intercept and validate requests to asynchronous modal endpoints, allowing only approved methods and parameters.
Product(s) Impacted
| Product | Versions |
|---|---|
| Orchid Platform |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-749
Exposed Dangerous Method or Function
The product provides an Applications Programming Interface (API) or similar interface for interaction with external actors, but the interface includes a dangerous method or function that is not properly restricted.
Tags
CVSS Score
CVSS Data
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: HIGH
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
View Vector String
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:L/I:N/A:N
Date
- Published: Nov. 11, 2024, 8:15 p.m.
- Last Modified: Nov. 12, 2024, 1:55 p.m.
Status : Awaiting Analysis
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.