#sql

A research tool by the company found a vulnerability in the SQLite open source database, demonstrating the "defensive potential" for using LLMs to find vulnerabilities in applications before they're publicly released.

Google said it discovered a zero-day vulnerability in the SQLite open-source database engine using its large language model (LLM) assisted framework called Big Sleep (formerly Project Naptime). The tech giant described the development as the "first real-world vulnerability" uncovered using the artificial intelligence (AI) agent. "We believe this is the first public example of an AI agent finding

Misconfigurations, weak authentication, and logic flaws are among the main drivers of API security risks at many organizations.

SmartAgent version 1.1.0 suffers from multiple unauthenticated remote SQL injection vulnerabilities.

The issue of GitHub data protection is increasingly discussed among developers on platforms like Reddit, X, and HackerNews.…

JeecgBoot v3.7.1 was discovered to contain a SQL injection vulnerability via the component `/onlDragDatasetHead/getTotalData`.

This Metasploit module exploits an unauthenticated SQL injection vulnerability in the WordPress wp-automatic plugin versions prior to 3.92.1 to achieve remote code execution. The vulnerability allows the attacker to inject and execute arbitrary SQL commands, which can be used to create a malicious administrator account. The password for the new account is hashed using MD5. Once the administrator account is created, the attacker can upload and execute a malicious plugin, leading to full control over the WordPress site.

A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database.

A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database.

UP-RESULT PRO version 1.0 suffers from a remote SQL injection vulnerability.