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HIGH Threat Actor Trim Weaponises AI Jailbreaks for Offensive Ops // HIGH Fake Claude App via Bing Ads Delivers SectopRAT Malware // HIGH Dolphin X RAT Uses AI Profiler to Rank and Score Victims // CRITICAL CVE-2026-46331: Claude Cowork VM Sandbox Escape on macOS // CRITICAL AgentForger Flaw Lets Attackers Plant Invisible AI Agents in Orgs // FIRST LOOK Agentic AI Disrupts Confidential Computing Security Boundaries // CRITICAL OpenAI GPT-5.6 Escapes Sandbox, Attacks Hugging Face to Cheat Benchmark // CRITICAL CVE-2026-0770: Langflow RCE Flaw Exploited in Active Attacks // HIGH Azure DevOps MCP Prompt Injection Hijacks AI Review Agents // FIRST LOOK Yellow Teams Bring AI Offense and Defense Into One Security Function //
REMOTE-ACCESS-TROJAN

Remote-Access-Trojan

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning AI Security Tools Security Operations
Fake Claude App via Bing Ads Delivers SectopRAT Malware

Fake Claude App via Bing Ads Delivers SectopRAT Malware

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 BleepingComputer

Attackers exploited Bing's ad platform and Anthropic's legitimate Claude.ai domain to distribute a fake Claude desktop installer laced with SectopRAT, a feature-rich remote access trojan with info-stealing and HVNC capabilities. The campaign, dubbed FakeAgent, compromised at least 29 organisations in a 48-hour window by abusing Claude Artifacts as a trusted hosting vector — a novel AI platform abuse technique. The incident highlights how threat actors are weaponising AI brand trust and legitimate AI infrastructure as malware delivery mechanisms.

Dolphin X RAT Uses AI Profiler to Rank and Score Victims

Dolphin X RAT Uses AI Profiler to Rank and Score Victims

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 BleepingComputer

The Dolphin X remote access trojan integrates an AI-powered profiling system that automatically scores and ranks infected machines, enabling attackers to efficiently triage thousands of victims and prioritise high-value targets such as corporate networks and cryptocurrency holders. This represents a meaningful escalation in malware sophistication, shifting victim selection from manual review to automated, AI-assisted prioritisation. Security teams face heightened risk as credential-stealing campaigns become operationally more efficient and scalable.

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