Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects anomalous system and process enumeration activity characteristic of the macOS.Gaslight threat, specifically looking for repeated execution of diagnostic commands like ps, sysctl, uname, and sw_vers in a short timeframe, which suggests an attempt to profile the infected host environment.
Detects the macOS.Gaslight Rust-based implant receiving and executing backdoor commands (e.g., shell, kill, upload, persistence) via the Telegram Bot API. The rule correlates outbound network connections to api.telegram.org with subsequent process execution patterns typical of command dispatch (such as execvp or posix_spawnp).
Detects outbound network connections to a known malicious IP (83.142.209.214) associated with Lambsys cryptominer activity. The rule specifically monitors for HTTP POST requests to '/status.php' or '/setup_status.php' using the default 'Go-http-client/1.1' User-Agent, indicating a C2 beaconing pattern.
Detects potential malware execution chains characteristic of AMOS (Atomic macOS Stealer) and related 'ClickFix' campaigns. The rule monitors for the silent downloading of a disk image (.dmg) file to the /tmp directory using curl with quiet flags, followed immediately by the mounting of that image using hdiutil with the -nobrowse flag to bypass user notification and Gatekeeper security prompts.
Detects suspicious bash one-liners executed within macOS Terminal typically associated with the AMOS (Atomic macOS Stealer) 'ClickFix' campaign. The rule monitors for a sequence involving temporary file creation, downloading a disk image (DMG) from a known malicious domain ('svs-verificationdate.beer'), and silently attaching the DMG via hdiutil.
Detects high-volume credential stuffing attacks targeting the WordPress 'wp-login.php' endpoint. The rule monitors for multiple geographically distinct source IP addresses submitting HTTP POST requests to the login page within a 2-minute window. It specifically identifies traffic patterns associated with common infostealer-harvested credential campaigns (such as Vidar, Stealc, or DanaBot) by matching a specific User-Agent string associated with the campaign.
Detects execution of macOS.Gaslight malware by identifying specific function calls within process command lines, specifically 'SecTrustSetAnchorCertificatesOnly' for certificate pinning, 'SCDynamicStoreCopyProxies' for proxy awareness, and 'CCRandomGenerateBytes' for cryptographical operations. These behaviors are typical of the implant's efforts to maintain encrypted C2 communication while frustrating network inspection tools.
Detects unauthorized access to Chrome and Firefox browser credential (Login Data, logins.json, key4.db) and cookie database files on macOS by non-browser processes, commonly observed in credential theft campaigns like ClickFix.
Detects consecutive successful AWS ConsoleLogin events for the same user originating from distinct IP addresses within a 10-minute window. This behavior is indicative of a session-based attack such as Adversary-in-the-Middle (AiTM) where session cookies are intercepted and replayed, allowing an attacker to bypass traditional authentication or multi-factor authentication controls.
Detects a multi-stage in-memory .NET DLL loader chain where an executable from AppData\Roaming mimics legitimate software (TuglaInsaatci) to load malicious DLLs ('Optimax.dll' and 'System Optimizer Ultimate.dll') entirely in memory. This behavior is indicative of the FortiBleed steganographic loader campaign, which aims to evade disk-based security controls.
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