hunting-for-suspicious-scheduled-tasks
Hunt for adversary persistence and execution via Windows scheduled tasks by analyzing task creation events, suspicious task properties, and unusual execution patterns that indicate T1053.005 abuse.
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Installation Guide
How to use hunting-for-suspicious-scheduled-tasks on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
hunting-for-suspicious-scheduled-tasks
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches hunting-for-suspicious-scheduled-tasks from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate hunting-for-suspicious-scheduled-tasks. Access via /hunting-for-suspicious-scheduled-tasks in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
| name | hunting-for-suspicious-scheduled-tasks |
| description | Hunt for adversary persistence and execution via Windows scheduled tasks by analyzing task creation events, suspicious task properties, and unusual execution patterns that indicate T1053.005 abuse. |
| domain | cybersecurity |
| subdomain | threat-hunting |
| tags | - threat-hunting - scheduled-tasks - persistence - mitre-t1053-005 - windows - endpoint-detection |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05 |
Hunting for Suspicious Scheduled Tasks
When to Use
- When proactively hunting for persistence mechanisms in Windows environments
- After detecting schtasks.exe or at.exe usage in process creation logs
- When investigating malware that survives reboots and user logoffs
- During incident response to enumerate all persistence on compromised systems
- When Windows Security Event ID 4698 (Scheduled Task Created) fires for unusual tasks
Prerequisites
- Windows Security Event ID 4698/4699/4702 (Task Created/Deleted/Updated)
- Sysmon Event ID 1 for schtasks.exe process creation with command lines
- Windows Task Scheduler operational log (Microsoft-Windows-TaskScheduler/Operational)
- PowerShell logging for Register-ScheduledTask cmdlet usage
- Access to Task Scheduler XML definitions on endpoints
Workflow
- Enumerate All Scheduled Tasks: Collect complete task inventory from target systems using
schtasks /query /fo CSV /vorGet-ScheduledTaskPowerShell cmdlet. - Monitor Task Creation Events: Track Event ID 4698 for new task creation, correlating with the creating process and user account context.
- Analyze Task Actions: Examine what each task executes. Flag tasks running scripts (PowerShell, cmd, wscript), binaries from user-writable paths (TEMP, AppData, Downloads), or encoded/obfuscated commands.
- Check Task Triggers: Review trigger conditions. Tasks triggered by system startup, user logon, or short intervals (1-5 minutes) warrant investigation.
- Identify Hidden or Disguised Tasks: Hunt for tasks with names mimicking legitimate Windows tasks, tasks with Security Descriptor modifications hiding them from standard enumeration, or tasks stored in non-standard registry locations.
- Correlate with Process Execution: Match scheduled task execution events with process creation logs to confirm what actually runs.
- Baseline and Diff: Compare current task inventory against known-good baselines to identify new, modified, or unexpected tasks.
Detection Queries
Splunk -- Scheduled Task Creation
index=wineventlog EventCode=4698
| spath output=TaskName path=EventData.TaskName
| spath output=TaskContent path=EventData.TaskContent
| where NOT match(TaskName, "(?i)(\\\\Microsoft\\\\|\\\\Windows\\\\)")
| table _time Computer SubjectUserName TaskName TaskContent
Splunk -- Schtasks.exe Suspicious Usage
index=sysmon EventCode=1 Image="*\\schtasks.exe"
| where match(CommandLine, "(?i)/create")
| where match(CommandLine, "(?i)(powershell|cmd|wscript|cscript|mshta|rundll32|regsvr32|http|https|\\\\temp\\\\|\\\\appdata\\\\)")
| table _time Computer User CommandLine ParentImage
KQL -- Microsoft Sentinel
SecurityEvent
| where EventID == 4698
| extend TaskName = tostring(EventData.TaskName)
| extend TaskContent = tostring(EventData.TaskContent)
| where TaskContent has_any ("powershell", "cmd.exe", "wscript", "http://", "https://", "\\Temp\\", "\\AppData\\")
| project TimeGenerated, Computer, Account, TaskName, TaskContent
Common Scenarios
- Cobalt Strike Persistence: Creates scheduled tasks via schtasks.exe to execute PowerShell download cradles at user logon intervals.
- Ransomware Staging: Task created to run encryption payload at a future time, often during off-hours for maximum impact.
- Hidden Task via SD Modification: Attacker modifies Security Descriptor of scheduled task to hide it from normal enumeration while maintaining execution.
- COM Handler Abuse: Task uses COM handler rather than direct executable path, making action inspection more complex.
- Lateral Movement via Tasks: Remote scheduled task creation using
schtasks /create /s REMOTE_HOSTfor execution on other systems.
Output Format
Hunt ID: TH-SCHTASK-[DATE]-[SEQ]
Host: [Hostname]
Task Name: [Full task path]
Action: [Command/Script executed]
Trigger: [Startup/Logon/Timer/Event]
Created By: [User account]
Created From: [Local/Remote]
Creation Time: [Timestamp]
Run As: [Execution account]
Risk Level: [Critical/High/Medium/Low]
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- PPratham Ware★★★★★Dec 20, 2024
hunting-for-suspicious-scheduled-tasks reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMin Verma★★★★★Dec 16, 2024
I recommend hunting-for-suspicious-scheduled-tasks for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- CChaitanya Patil★★★★★Dec 12, 2024
Solid pick for teams standardizing on skills: hunting-for-suspicious-scheduled-tasks is focused, and the summary matches what you get after install.
- DDaniel Iyer★★★★★Dec 8, 2024
Useful defaults in hunting-for-suspicious-scheduled-tasks — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAmelia Mensah★★★★★Nov 27, 2024
hunting-for-suspicious-scheduled-tasks is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- MMin Mehta★★★★★Nov 11, 2024
hunting-for-suspicious-scheduled-tasks reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMin Menon★★★★★Nov 7, 2024
Keeps context tight: hunting-for-suspicious-scheduled-tasks is the kind of skill you can hand to a new teammate without a long onboarding doc.
- PPiyush G★★★★★Nov 3, 2024
We added hunting-for-suspicious-scheduled-tasks from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAlexander Flores★★★★★Oct 26, 2024
hunting-for-suspicious-scheduled-tasks is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- SShikha Mishra★★★★★Oct 22, 2024
hunting-for-suspicious-scheduled-tasks fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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