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.

TuxBot v3 Evolution, an IoT botnet framework built with LLMs. Read our analysis of its cross-compiled binaries, C2 architecture and bugs.

The post TuxBot v3: Inside an IoT Botnet Framework With LLM-Assisted Development appeared first on Unit 42.

A cybercrime campaign combined a loader-as-a-service framework and DLL sideloading via a Go-compiled fake MpClient.dll, a novel evasion layer combination.

The post Vidar Stealer Unmasked: Code Signing Abuse, Go Loaders and File Inflation appeared first on Unit 42.

Attackers can exploit LLM domain hallucinations through phantom squatting to target supply chains. Read the analysis to learn more.

The post Phantom Squatting: AI-Hallucinated Domains as a Software Supply Chain Vector appeared first on Unit 42.

Government entities and critical infrastructure were targeted for espionage in SE Asia by attackers using a hybrid toolkit, including custom TinyRCT backdoor.

The post CL-STA-1062 Targets Southeast Asian Governments and Critical Infrastructure appeared first on Unit 42.

Unit 42's analysis of ClawHub revealed evasive malicious skills bypassing automated scanners to deploy infostealers and execute agentic financial fraud.

The post OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat 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.

Operation FlutterBridge is a malvertising campaign targeting macOS users. It distributed the new backdoor FlutterShell, built using the Flutter framework.

The post Operation FlutterBridge: macOS Malvertising Campaign Spreads New FlutterShell Backdoor appeared first on Unit 42.

Unit 42 details Screening Serpens' use of AppDomainManager hijacking and new RAT variants to target tech and defense sectors in recent campaigns.

The post Tracking Iranian APT Screening Serpens’ 2026 Espionage Campaigns appeared first on Unit 42.

Unit 42 analyzes TamperedChef malware clusters that use trojanized productivity apps and malvertising to deliver stealthy payloads to targets.

The post Tracking TamperedChef Clusters via Certificate and Code Reuse appeared first on Unit 42.

Unit 42 analyzes the evolution of Gremlin stealer. This variant uses advanced obfuscation, crypto clipping and session hijacking to compromise data.

The post Gremlin Stealer's Evolved Tactics: Hiding in Plain Sight With Resource Files appeared first on Unit 42.

Unit 42 analyzes AD CS exploitation through template misconfigurations and shadow credential misuse while offering behavioral detection for defenders.

The post Inside AD CS Escalation: Unpacking Advanced Misuse Techniques and Tools appeared first on Unit 42.

Unit 42 uncovers high-risk AI browser extensions. Disguised as productivity tools, they steal data, intercept prompts, and exfiltrate passwords. Protect your browser.

The post That AI Extension Helping You Write Emails? It’s Reading Them First appeared first on Unit 42.

Unit 42 analyzes npm supply chain evolution post-Shai Hulud. Discover wormable malware, CI/CD persistence, multi-stage attacks and more.

The post The npm Threat Landscape: Attack Surface and Mitigations (Updated July 15) appeared first on Unit 42.

Unit 42 research reveals AirSnitch attacks bypass WPA2/3 Wi-Fi encryption and client isolation, exposing critical infrastructure vulnerabilities.

The post When Wi-Fi Encryption Fails: Protecting Your Enterprise from AirSnitch Attacks 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 critical vulnerabilities in Amazon Bedrock AgentCore's sandbox, demonstrating DNS tunneling and credential exposure.

The post Cracks in the Bedrock: Escaping the AWS AgentCore Sandbox appeared first on Unit 42.

Unit 42 uncovers escalating Kubernetes attacks, detailing how threat actors exploit identities and critical vulnerabilities to compromise cloud environments.

The post Understanding Current Threats to Kubernetes Environments appeared first on Unit 42.

Unit 42 research on multi-agent AI systems on Amazon Bedrock reveals new attack surfaces and prompt injection risks. Learn how to secure your AI applications.

The post When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi-Agent Applications appeared first on Unit 42.