Sequelize < 6.19.1 - SQL Injection via Replacements
Title source: llmExploitation Summary
EIP tracks 6 public exploits for CVE-2023-25813. PoCs published by White-BAO, h-gunp, bde574786.
AI-analyzed exploit summary The repository contains minimal code related to a Sequelize-based user model but lacks any functional exploit code or technical details about CVE-2023-25813. The README is empty except for the CVE identifier.
Description
Sequelize is a Node.js ORM tool. In versions prior to 6.19.1 a SQL injection exploit exists related to replacements. Parameters which are passed through replacements are not properly escaped which can lead to arbitrary SQL injection depending on the specific queries in use. The issue has been fixed in Sequelize 6.19.1. Users are advised to upgrade. Users unable to upgrade should not use the `replacements` and the `where` option in the same query.
Exploits (6)
The repository contains minimal code related to a Sequelize-based user model but lacks any functional exploit code or technical details about CVE-2023-25813. The README is empty except for the CVE identifier.
This repository contains a functional proof-of-concept for CVE-2023-25813, demonstrating a Sequelize SQL injection vulnerability in the login route. The vulnerable code uses `literal` and `and` in a way that allows bypassing authentication.
This repository contains a functional proof-of-concept exploit for CVE-2023-25813, demonstrating SQL injection in Sequelize < 6.19.1 via improper handling of the `replacements` option. The PoC includes a Node.js application with vulnerable Sequelize queries and detailed technical analysis of the root cause.
This repository contains a functional proof-of-concept for CVE-2023-25813, demonstrating a SQL injection vulnerability in Sequelize. The exploit is embedded in a Node.js application with Docker support, showcasing the vulnerability in a controlled environment.
This repository contains a functional Node.js application demonstrating CVE-2023-25813, a SQL injection vulnerability in the login and post creation endpoints. The code uses raw SQL queries with user-controlled input, allowing for authentication bypass and arbitrary SQL execution.
This repository contains a functional Python script for exploiting CVE-2023-25813, a SQL injection vulnerability. The script automates blind SQLi attacks to extract database information, table structures, and data from a vulnerable target.
References (4)
Scores
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H