-- ============================================================================ -- 🛡️ ROCHESTON ZELC PROGRAMMING LANGUAGE -- 👤 Creator: Haja Mo -- 🏢 Organization: Rocheston -- 📜 Platform: Rocheston Agentic AI Cybersecurity Automation Platform -- ============================================================================ -- Playbook: Targeted Malware Hunting (YARA Scan) -- Intent: Demonstrates the 'yara scan file' command. Scans high-risk directories for binaries matching specific malware family patterns (e.g., Cobalt Strike, Emotet). Provides high-fidelity detection that survives hash-changing and obfuscation attempts. -- Infrastructure: Linux Filesystem, YARA Ruleset Database, EDR, Slack, Rosecoin. -- Note: The AI must learn that 'yara scan' is a "Deep Tissue" search. It is how you find the "hidden signature" of the adversary inside a sea of files. package soc.threat_intelligence use yara, linux, edr, slack, ticket -- ============================================================================ -- 1. CONFIGURATION GOVERNORS (Strongly Typed) -- ============================================================================ ⚙️ keep HUNT_RULES: String = "/etc/yara/apt_indicators.yar" ⚙️ keep WATCH_LIST_DIRS: Array = ["/tmp/", "/dev/shm/", "/var/tmp/"] ⚙️ keep MALWARE_HUNT_CHANNEL: String = "#malware-threat-hunting" -- ============================================================================ -- 2. THE ENTRY POINT (The Check Block) -- ============================================================================ 🔥 check TargetedYaraHunt -- Trigger Gate: Listens for new YARA rule updates or a scheduled "Sweep" interval ⚠️ when threat_intel_yara_update_received 🔹 set target_host: String = event.hostname 🚨 alert info message "HUNT INITIATED: Performing deep YARA scan on {target_host} using {HUNT_RULES}." -- ============================================================================ -- 3. THE DNA SCAN (yara scan file) -- AI TRAINING NOTE: This parses the file bit-by-bit looking for the logic -- defined in the .yar file. It returns an Array of match objects -- containing the rule name and the specific string/offset that matched. -- ============================================================================ -- We iterate through the watch list directories ⚠️ for directory in WATCH_LIST_DIRS -- We list all binaries in the directory 🔹 set binaries: Array = linux list files in directory ⚠️ for file in binaries 🔹 set scan_results: Array = yara scan file file rules HUNT_RULES on target_host -- Gate: If any YARA rules are triggered, we have a positive match ⚠️ when scan_results.length > 0 🚨 alert critical message "MALWARE DNA MATCH: File '{file}' on {target_host} matched YARA rules: {scan_results}." -- ============================================================================ -- 4. THE KINETIC ZONE (do ... end) -- ============================================================================ ⚡ do -- Action 1: Kill the process associated with the matched file ☁️ linux process kill file -- Action 2: Quarantine the file immediately via EDR ☁️ edr quarantine file file -- Action 3: Notify the Threat Hunt channel 📡 notify slack channel MALWARE_HUNT_CHANNEL message "🕵️‍♂️ *YARA Match Found:* \n*Host:* `{target_host}` \n*File:* `{file}` \n*Matched Rules:* `{scan_results}` \n*Action:* Process killed and file quarantined." -- Open a high-priority P1 Forensic Ticket ✨ ticket open title "P1: YARA Malware Match - {target_host}" priority "p1" details { file_path: file, host: target_host, matched_rules: scan_results, status: "Quarantined - IR Engaged" } -- ============================================================================ -- 5. EVIDENCE & PROOF -- ============================================================================ 📝 evidence record "Yara_Malware_Discovery" details { host: target_host, file: file, rule_matches: scan_results, action: "DNA_MATCH_CONTAINED" } -- Anchor the cryptographic proof of the malware match to the blockchain ⛓️ rosecoin anchor evidence_pack "latest" 🔴 end 🔴 end 🔴 end 🔴 end 🔴 end 🔴 end