Security researchers from the Tel Aviv-based firm Adversa have unearthed a vulnerability within Claude Code—the autonomous artificial intelligence programming agent authored by Anthropic. By enticing the agent with a sufficiently protracted sequence of subcommands,...
AnonyMask: Automated Masking and Unmasking of Explicit and Implicit Privacy Data AnonyMask is a privacy-preserving tool designed to automatically detect, mask, and unmask privacy data across various file formats. It allows enterprises to leverage the power of...
The Insikt Group team, a division of Recorded Future, has disseminated a comprehensive analysis regarding the cloud threat landscape of 2025. Analysts have documented a burgeoning surge in offensives where adversaries eschew traditional malware...
Microsoft has disseminated a nascent technical treatise regarding the detection of backdoors within open-weight Large Language Models (LLMs)—specifically those designed for local instantiation. This research addresses a clandestine vulnerability wherein a model’s behavior remains...
Multi-turn Injection Planning System for LLM Evaluation MIPSEval is a modular framework for simulating and evaluating the behavior of Large Language Models (LLMs) in adversarial or structured multi-turn conversational scenarios. It supports both OpenAI-hosted...
Envision a scenario where your chatbot functions ostensibly as intended, preemptively suppressing a hazardous response, yet a data breach transpires subsequently in the most unanticipated of locales—the developer’s log viewer. Specialists from PromptArmor have...
Adversaries have embarked upon a pervasive reconnaissance of the internet, systematically identifying misconfigured proxy servers that facilitate unauthorized access to commercial services predicated on Large Language Models (LLMs). This campaign, manifesting as a methodical...
A critical vulnerability has been discovered in the LangChain ecosystem that allows attackers to steal sensitive data and even influence the responses of large language models through prompt injection. The flaw affects LangChain Core...
Security researchers uncovered several vulnerabilities in Eurostar’s public chatbot, demonstrating that a “modern” LLM interface can fail for exactly the same reasons as traditional web services: weak server-side data binding, missing validation, and blind...
