Abstract: SQL injection attacks have posed a significant threat to web applications for decades. They obfuscate malicious codes into natural SQL statements so as to steal sensitive data, making them ...

Bruce Schneier and Barath Raghavan explore why LLMs struggle with context and judgment and, consequently, are vulnerable to prompt injection attacks. These 'attacks' are cases where LLMs are tricked ...

Cybercriminals don't always need malware or exploits to break into systems anymore. Sometimes, they just need the right words in the right place. OpenAI is now openly acknowledging that reality. The ...

Welcome to the future — but be careful. “Billions of people trust Chrome to keep them safe,” Google says, adding that "the primary new threat facing all agentic browsers is indirect prompt injection.” ...

Prompt injection vulnerabilities may never be fully mitigated as a category and network defenders should instead focus on ways to reduce their impact, government security experts have warned. Then ...

Security experts working for British intelligence warned on Monday that large language models may never be fully protected from “prompt injection,” a growing type of cyber threat that manipulates AI ...

Command-line post-exploitation toolkit for Microsoft SQL Server — enabling RCE, privilege escalation, persistence, and defense evasion via T-SQL.

A paper published in Frontiers in Computer Science exposes a new and deeply concerning form of artificial intelligence vulnerability - semantic-layer attacks that can manipulate meaning, context, and ...

Large language models (LLMs), despite their impressive reasoning and generative abilities, remain alarmingly vulnerable to prompt injection attacks, one of the fastest-growing security concerns in ...

You're checking your financial account online, moving money or paying bills, when suddenly a pop-up appears. It looks exactly like your bank's page, complete with logo and branding, but asks for ...

SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning approaches ...