CVE-2024-55661

Dec. 13, 2024, 6:15 p.m.

8.8
High

Description

Laravel Pulse is a real-time application performance monitoring tool and dashboard for Laravel applications. A vulnerability has been discovered in Laravel Pulse prior to version 1.3.1 that could allow remote code execution through the public `remember()` method in the `Laravel\Pulse\Livewire\Concerns\RemembersQueries` trait. This method is accessible via Livewire components and can be exploited to call arbitrary callables within the application. An authenticated user with access to Laravel Pulse dashboard can execute arbitrary code by calling any function or static method in which the callable is a function or static method and the callable has no parameters or no strict parameter types. The vulnerable to component is `remember(callable $query, string $key = '')` method in `Laravel\Pulse\Livewire\Concerns\RemembersQueries`, and the vulnerability affects all Pulse card components that use this trait. Version 1.3.1 contains a patch.

Product(s) Impacted

Product Versions
Laravel Pulse
  • before 1.3.1

Weaknesses

CWE-94
Improper Control of Generation of Code ('Code Injection')
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

CVSS Score

8.8 / 10

CVSS Data

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • View Vector String

    CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Date

  • Published: Dec. 13, 2024, 4:15 p.m.
  • Last Modified: Dec. 13, 2024, 6:15 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

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.