Israeli firm Gambit Security has forensically linked the late-March attack on the Los Angeles County Metropolitan Transportation Authority to Iran's Ministry of Intelligence and Security (MOIS), despite the attackers branding themselves as the pro-Iran hacktivist collective 'Ababil of Minab.' The group posted videos claiming it wiped hundreds of terabytes and stole over a terabyte of files. LA Metro confirmed the breach on April 2, 2026, and had to check hundreds of servers for compromise before bringing them back online. The case illustrates a recurring pattern of state operations wearing a hacktivist costume to provide deniability while targeting critical infrastructure.
Symantec and Carbon Black, working with Huntress, have documented Operation Olalampo, a new MuddyWater (also tracked as Seedworm) espionage campaign that has hit at least nine countries. The Iran-linked actor uses DLL sideloading by abusing two trusted binaries - sentinelmemoryscanner.exe sideloads sentinelagentcore.dll - to deploy the open-source ChromElevator tool, which steals passwords, cookies, and payment-card data from Chromium browsers while bypassing App-Bound Encryption. The campaign also uses Node.js-based implants that drop PowerShell scripts for reconnaissance, SAM-hive theft, screenshot capture, and SOCKS5 reverse-proxy tunneling. Stolen data has been staged on the public file-transfer service sendit[.]sh.
Check Point has documented Iranian APT Nimbus Manticore (also tracked as UNC1549) accelerating its operations during US Operation Epic Fury rather than going quiet. The campaign hits aviation, software, and defense organizations in the US, Europe, and the Middle East via three waves: career-themed phishing using AppDomain hijacking to deploy MiniJunk (February), a trojanized Zoom installer that hijacks legitimate scheduled tasks to deliver the new MiniFast backdoor (March), and the group's first SEO poisoning campaign distributing a weaponized Oracle SQL Developer installer via getsqldeveloper[.]com (April). MiniFast shows signs of AI-assisted development: defensive coding patterns, verbose error strings, and modular structure.