external/anthropic-cybersecurity-skills/skills/detecting-malicious-scheduled-tasks-with-sysmon/SKILL.md
Detect malicious scheduled task creation and modification using Sysmon Event IDs 1 (Process Create for schtasks.exe), 11 (File Create for task XML), and Windows Security Event 4698/4702. The analyst correlates task creation with suspicious parent processes, public directory paths, and encoded command arguments to identify persistence and lateral movement via scheduled tasks. Activates for requests involving scheduled task detection, Sysmon persistence hunting, or T1053.005 Scheduled Task/Job analysis.
npx skillsauth add seikaikyo/dash-skills detecting-malicious-scheduled-tasks-with-sysmonInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Adversaries abuse Windows Task Scheduler (schtasks.exe, at.exe) for persistence (T1053.005) and lateral movement. Sysmon Event ID 1 captures schtasks.exe process creation with full command-line arguments, while Event ID 11 captures task XML files written to C:\Windows\System32\Tasks. Windows Security Event 4698 logs task registration details. This skill covers building detection rules that correlate these events to identify malicious scheduled tasks created from suspicious paths, with encoded payloads, or targeting remote systems.
[CRITICAL] Suspicious Scheduled Task Detected
Task: \Microsoft\Windows\UpdateCheck
Command: powershell.exe -enc SQBuAHYAbwBrAGUALQBXAGUAYgBSAGU...
Created By: DOMAIN\compromised_user
Parent Process: cmd.exe (PID 4532)
Source: \\192.168.1.50 (remote creation)
MITRE: T1053.005 - Scheduled Task/Job
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.