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Infostealers Target Claude, Cursor, Codex and Other AI Agents to Steal Credentials and Sensitive Data
Gen Digital researchers report infostealer families Amatera, Remus and CallbackBeaver now harvest Claude, Cursor and Codex agent data, including tokens and MCP configs.
Gen Digital researchers found commodity infostealers extending their collection rules to local AI coding agent data from Claude, Cursor, Codex, Cline, Continue and OpenCode on Windows and macOS. Amatera targets Cline and Continue, Remus targets Claude, Cursor and OpenCode, and CallbackBeaver added Claude and Cursor with more than 5,000 samples observed in 30 days; Djinn Stealer hits Claude, Codex, Gemini, Cline, OpenCode and Kilo on macOS. Stolen data includes access and refresh tokens, prompt histories, conversation databases and MCP configurations holding API keys, potentially exposing connected source-control, cloud and ticketing systems. Remus is assessed as a Lumma Stealer variant using EtherHiding C2 resolution via Ethereum smart contracts.
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Manic: The Android Malware That Exfiltrates Data Even When the Phone Is Offline
ThreatFabric identifies Manic, an Android banking fraud and spyware platform targeting Ukraine with offline Bluetooth/Wi-Fi Direct mesh exfiltration and device takeover.
ThreatFabric's Mobile Threat Intelligence team identified Manic, an Android malware active in the wild since at least February 2026 that combines banking fraud with surveillance and device-control capabilities. It monitors 169 Android apps including Ukrainian banks, government and eID services, messaging apps, crypto exchanges, and 2FA tools, using the Accessibility service as a classified UI keylogger and WebRTC for live screen viewing and remote control. A distinctive store-and-forward relay exfiltrates AES-GCM-encrypted data through nearby infected devices over Wi-Fi Direct, Bluetooth RFCOMM, or BLE GATT, supporting chains of up to four hops when direct C2 is unavailable. A July update added stronger anti-analysis, in-memory DEX loading, lock-secret phishing to extract device PINs, and hiding from the app launcher.
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Manic Android Malware Exfiltrates Data From Offline Phones via Nearby Infected Devices
ThreatFabric identified Manic, an Android banking malware and spyware targeting Ukrainian and European financial apps with novel offline Wi-Fi mesh data exfiltration via nearby infected devices.
ThreatFabric reported a new Android malware family called Manic combining banking fraud and surveillance capabilities, targeting 169 package IDs across Ukrainian banks, government and identity services, messaging apps, and Russian and European financial institutions. The malware uses phishing sites and dropper apps impersonating utilities for distribution and relies on accessibility services and notification permissions for keylogging, overlays, and remote control. It introduces a store-and-forward relay mechanism that stages encrypted data locally and relays it through nearby infected devices via Wi-Fi Direct, Bluetooth RFCOMM, or BLE GATT, supporting up to four hops when the primary device lacks internet access. Activity dates back to February 2026, with active development through late July.
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Nearly 800 Malicious npm Packages Deliver Cross
Nearly 800 typo-squatted npm packages deliver WEL1DROPPER, a cross-platform downloader installing RAT and infostealer payloads on Windows, macOS, Linux.
Researchers found roughly 800 npm packages with AI-generated typo-squat names that trigger a WEL1DROPPER downloader when loaded via require() rather than install hooks. The downloader fetches payloads from Cloudflare Workers hosts, falling back to DNS TXT records from wel1.ru, then achieves persistence, sandbox checks, ETW/AMSI patching and Sliver C2 deployment on Linux. Domains like tcsbank.ru suggest targeting of Russian financial institutions; Sonatype tracks the campaign as Flooding Dropper, a possible evolution of the Moika dependency-confusion campaign. Unit 42 separately documented npm/PyPI crypto stealers and malicious Chrome extensions that turn browsers into residential proxy crawlers.
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ThreatsDay Bulletin: Stealth Loaders, AI Chatbot Flaws AI Exploits, Docker Hack, and 15 More Stories
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