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Pegasus Zero-Click Exploit Infects Serbian Student Activist's iPhone
Citizen Lab and SHARE Foundation confirm a Serbian student activist's iPhone was infected with NSO Group Pegasus via a zero-click iMessage exploit.
Forensic analysis found high-confidence infection indicators on the activist's iPhone during December 2025 and January 2026, using an iMessage zero-click exploit the Citizen Lab believes was patched as of iOS 18.4.1, released April 2025. The target was among at least 14 Apple Threat Notification recipients in Serbia's student movement, civil society, and opposition politics documented by the SHARE Foundation. Targeting occurred ahead of key 2026 election cycles; Amnesty Tech also confirmed a new NoviSpy version on another student movement member's device.
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E4del and PINHOLE RATs Turn FTP Banners Into Dead Drops for Malware Commands
Researchers identified two new RATs, E4del and PINHOLE, using FTP banners as dead drop resolvers to fetch C2 commands via ClickFix-style lures.
SOCRADAR documented two previously unreported RATs, E4del and PINHOLE, that use FTP banners as dead drop resolvers, a first in-the-wild use of this technique. E4del is a Node.js-based RAT hidden in a digitally signed Electron application masquerading as Discord, with tiered-jitter beaconing, reverse shell, screenshot capture and desktop streaming. PINHOLE is more advanced, using Pinterest, SurveyMonkey and Cloudflare Workers for C2 resolution, six layers of unpacking, Halo's Gate EDR evasion and Early Bird APC injection. A related WebDAV delivery chain overlaps with ClearFake campaigns distributing WordlistLoader and Amatera Stealer.
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North Korea-linked IT Workers Are Getting Hired Inside Western Companies
Huntress documented five DPRK-linked FAMOUS CHOLLIMA workers hired by Western companies in 2026 using fake identities, proxies and laptop farms.
Huntress published an investigation of five confirmed 2026 cases of North Korea-linked IT workers, tracked as FAMOUS CHOLLIMA, obtaining remote jobs at legitimate companies in IT, sales, marketing and healthcare. The workers use stolen or fabricated identity documents, VPNs and proxy services, and some were caught using PiKVM hardware-level control, travel routers and laptop farms to mask their true location. Detection relied on document forensics, behavioral anomalies and indicators like identical typo artifacts in electricity bills rather than network intrusions.
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