Two distinct multi-stage network intrusion campaigns are actively targeting Latin American organizations, with attackers leveraging artificial intelligence tools to enhance their capabilities. The Mexican transportation campaign (CL-CRI-1131) impacted transportation organizations and government entities in Mexico and Ecuador, utilizing living-off-the-land techniques and self-hosted NextChat instances. The Brazilian financial campaign (CL-CRI-1163) employed custom RATs and tunneling tools including a Go-based SOCKS5 proxy. Both operations demonstrate technical overlaps including shared SOCKS5 infrastructure and reliance on commercial large language models like Claude and GPT-4.1 for operational orchestration. Attackers used AI to generate scripts and troubleshoot execution failures, evidenced by iterative file naming patterns and exposed NextChat interfaces. However, fundamental operational security failures, including exposed staging directories and unsecured interfaces, provided defenders clear visibility...
Created: 2026-09-03
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