ChatGPT-using lawyer punished for citing fake testimony from made-up witnesses
New Mexico Supreme Court holds lawyer in contempt for filing a ChatGPT-generated brief citing fabricated witness testimony; fined $5,000 and referred to disciplinary board.
The New Mexico Supreme Court held criminal defense lawyer Stephen Aarons in direct contempt for filing a murder-appeal brief containing false testimony from wholly fabricated witnesses, including Officer Michelle Amarillo and Officer Sanchez, plus misrepresented legal authority. Aarons admitted feeding a computer-generated trial transcript into ChatGPT, powered by the OpenAI o3 model, and filing the output without verifying factual claims or telling his client. He was fined $5,000, referred to a disciplinary board, and barred from appearing before the court pending proceedings; the court struck all briefs and ordered new counsel for client Oscar Renee Sandoval.
Grandoreiro Resurfaces in Mexico With New DLL Sideloading Campaign
Banking trojan Grandoreiro resurfaces in Mexico using DLL sideloading, now accounting for 40% of detections after its 2024 disruption.
Grandoreiro, a banking trojan disrupted in 2024, is active again with a new DLL sideloading technique. Mexico now accounts for 40% of the malware's detections. The resurgence signals renewed targeting of banking customers in Latin America.
Exploring the Latest Mispadu Stealer Variant
Unit 42 found a new Mispadu infostealer variant targeting Mexican users via malicious .url files exploiting the SmartScreen CVE-2023-36025 bypass.
Unit 42 discovered a new variant of Mispadu Stealer, a Delphi-based banking trojan first reported in 2019, found while hunting for the Windows SmartScreen bypass CVE-2023-36025. The campaign uses crafted .url files referencing UNC network-share paths with an HTTP port (@80) that forces payload retrieval over WebDAV via rundll32.exe, avoiding SmartScreen warnings. Analyzed samples (~4 KB, compiled 2023-11-12) predate the CVE publication, and ZIP payloads were likely distributed as email attachments, primarily targeting users in Mexico.
Hackers Use LLMs to Generate Exploit Scripts and Automate Post-Exploitation Across Latin America
Unit 42 says Latin American attackers used LLMs to automate post-exploitation in campaigns hitting Mexican government, water utilities, and Brazilian financial firms.
Unit 42 identified two campaigns in Latin America whose operators used commercial LLMs (Claude, GPT-4.1) behind a self-hosted NextChat interface to generate and debug post-exploitation scripts. Cluster CL-CRI-1131 compromised a transportation organization, Mexican federal ministries, and water utilities in Mexico and Ecuador, using native Windows tools and Volume Shadow Copies to dump the SAM registry hive and NTDS.dit. Cluster CL-CRI-1163 targeted Brazilian financial organizations with job-themed phishing, custom RATs, and a Go-based reverse SOCKS5 tunneling utility called SockTz, with nine versions deployed within roughly two hours. Trend Micro tracks related AI-augmented activity as SHADOW-AETHER-040 and SHADOW-AETHER-064.
Five plead guilty in latest federal ATM jackpotting case
Five Venezuelan nationals pleaded guilty to ATM jackpotting conspiracy tied to Ploutus malware, as FBI tallies $58 million in losses since 2021.
Five Venezuelan nationals pleaded guilty in Kansas federal court to conspiracy to commit bank larceny for attempted ATM jackpotting attacks in Wamego and Manhattan in December 2025; Luis Velasquez-Artigas was sentenced to nine months. The FBI says jackpotting has caused over $58 million in losses since 2021, with more than 1,900 incidents tracked since 2020 and over 700 in 2025. Separately, Juan Manuel Gouveia-Aguilera was sentenced to eight years and ordered to pay restitution for using Ploutus malware to steal more than $3.5 million from hundreds of ATMs. Prosecutors link the schemes to the Venezuelan gang Tren de Aragua and say at least 119 people have been charged.