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LLM-Assisted Intrusions Hit Latin American Orgs via NextChat

LLM-Assisted Intrusions Hit Latin American Orgs via NextChat

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Palo Alto Unit 42

Unit 42 has identified two active intrusion campaigns targeting Latin American organisations in the transportation and financial sectors, with threat actors demonstrably leveraging commercial LLMs — including self-hosted NextChat instances — to orchestrate and refine attack execution. The campaigns share overlapping SOCKS5 relay infrastructure and exhibit iterative, AI-assisted scripting behaviour, suggesting independent but parallel adoption of LLM tooling by distinct threat groups. This represents a concrete operational example of adversaries using AI to lower the skill floor for multi-stage network intrusion and data exfiltration.

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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