Unit 42 explores key peak shopping season retail cyber threats, from ransomware to AI attacks, and shares how to defend operations and customer trust.

The post Unwrapping Retail Peak Season Cyber Threats appeared first on Unit 42.

An investigation into a threat actor bypassing AI safety controls to coordinate credential theft, VoIP fraud planning, and database exfiltration.

The post “Next Exploit Opportunities”: How a Threat Actor Used AI to Help Plan and Execute Multiple Types of Cybercrime Activities appeared first on Unit 42.

Our analysis an AI-powered espionage campaign targeting government Linux infrastructure with custom malware, web shells, and advanced credential theft.

The post AI-Powered Espionage Campaign Targets Government Linux Infrastructure appeared first on Unit 42.

Analysis of how default configurations in AWS AgentCore Harness allow prompt injection to exfiltrate credentials, and key steps to secure your agents.

The post A Vault with a Heap-View: The Uncomfortable Space Between AgentCore Harness and Identity appeared first on Unit 42.

Nearly half of C2 malware bypasses DNS by connecting directly to IP addresses. Zero trust IP enforcement secures networks against these threats.

The post Almost Half of Malware Samples Communicate Direct to IP appeared first on Unit 42.

Analysis of XCSSET v40 reveals a macOS malware targeting developers via Xcode. Unit 42 used advanced pattern matching and AI to decode its logic.

The post The Xcode Assassin Returns: A Deep Dive Into the Latest XCSSET Version appeared first on Unit 42.

Unit 42 research details how attackers could exploit global name uniqueness in bucket hijacking to redirect cloud data streams across major CSPs.

The post The Global Namespace Risk: Universal Bucket Hijacking Technique for Cloud Data Exfiltration appeared first on Unit 42.

Protect enterprise AI agents from supply chain risks by auditing third-party skills for hidden vulnerabilities and multi-stage attack chains.

The post Trust No Skill: Integrity Verification for AI Agent Supply Chains appeared first on Unit 42.

Unit 42 reveals how multi-agent AI systems can autonomously attack cloud environments. Learn critical insights and vital lessons for proactive security.

The post Can AI Attack the Cloud? Lessons From Building an Autonomous Cloud Offensive Multi-Agent System appeared first on Unit 42.

Unit 42 finds frontier AI models enhance vulnerability discovery, acting as full-spectrum security researchers. They enable autonomous zero-day discovery and faster N-day patching.

The post Fracturing Software Security With Frontier AI Models appeared first on Unit 42.

Unit 42 reveals "Agent God Mode" in Amazon Bedrock AgentCore. Broad IAM permissions lead to privilege escalation and data exfiltration risks.

The post Cracks in the Bedrock: Agent God Mode appeared first on Unit 42.

Unit 42 uncovers a "double agent" flaw in Google Cloud's Vertex AI, demonstrating how overprivileged AI agents can compromise cloud environments.

The post Double Agents: Exposing Security Blind Spots in GCP Vertex AI appeared first on Unit 42.

The line between research tool and threat creation engine is thin. We examine the capabilities of WormGPT 4 and KawaiiGPT, two malicious LLMs.

The post The Dual-Use Dilemma of AI: Malicious LLMs appeared first on Unit 42.