detecting-fileless-attacks-on-endpoints

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-fileless-attacks-on-endpoints
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summary

Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques.

skill.md
name
detecting-fileless-attacks-on-endpoints
description
'Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques. '
domain
cybersecurity
subdomain
endpoint-security
tags
- endpoint - fileless-malware - memory-attacks - PowerShell - detection-engineering
version
1.0.0
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - PR.PS-02 - DE.CM-01 - PR.IR-01

Detecting Fileless Attacks on Endpoints

When to Use

Use this skill when:

  • Building detection rules for fileless malware that operates entirely in memory
  • Hunting for PowerShell-based attacks, reflective DLL injection, and WMI abuse
  • Configuring endpoint telemetry (Sysmon, AMSI, PowerShell logging) to capture fileless indicators
  • Investigating incidents where traditional AV found no malicious files

Do not use for detecting file-based malware or for malware reverse engineering.

Prerequisites

  • Sysmon with process creation and WMI event logging enabled
  • PowerShell Script Block Logging and Module Logging enabled
  • AMSI (Antimalware Scan Interface) enabled for script content inspection
  • EDR with behavioral detection capabilities (MDE, CrowdStrike, SentinelOne)

Workflow

Step 1: Enable Required Telemetry

# Enable PowerShell Script Block Logging (GPO or registry)
New-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ScriptBlockLogging" `
  -Name EnableScriptBlockLogging -Value 1 -PropertyType DWORD -Force

# Enable PowerShell Module Logging
New-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ModuleLogging" `
  -Name EnableModuleLogging -Value 1 -PropertyType DWORD -Force

# Enable PowerShell Transcription
New-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\Transcription" `
  -Name EnableTranscripting -Value 1 -PropertyType DWORD -Force

# Sysmon config for fileless detection (key events):
# Event ID 1: Process creation (captures CommandLine)
# Event ID 7: Image loaded (DLL loading)
# Event ID 8: CreateRemoteThread (injection)
# Event ID 10: Process access (LSASS access)
# Event ID 19/20/21: WMI events

Step 2: Detect PowerShell-Based Attacks

# Indicators of malicious PowerShell:

# Encoded command execution
EventID: 1
CommandLine contains: "powershell" AND ("-enc" OR "-e " OR "-encodedcommand" OR "FromBase64String")

# Download cradle patterns
CommandLine contains: "IEX" AND ("Net.WebClient" OR "DownloadString" OR "Invoke-WebRequest")
CommandLine contains: "Invoke-Expression" AND "New-Object"

# AMSI bypass attempts (Event ID 4104 - Script Block)
ScriptBlock contains: ("Amsi"+"Utils") OR ("amsi"+"InitFailed") OR "SetValue.*amsi"

# Splunk query for suspicious PowerShell:
index=windows source="WinEventLog:Microsoft-Windows-PowerShell/Operational" EventCode=4104
| where match(ScriptBlockText, "(?i)(iex|invoke-expression|downloadstring|net\.webclient|frombase64|bypass|amsi.utils)")
| table _time host ScriptBlockText

Step 3: Detect Process Injection Techniques

# Reflective DLL injection - loads DLL from memory without touching disk
# Detection: Sysmon Event 7 (ImageLoaded) where image path is unusual
EventID: 7
ImageLoaded NOT starts with: "C:\Windows\" AND NOT starts with: "C:\Program Files"

# Process hollowing - creates process in suspended state, replaces memory
# Detection: Process creation followed by immediate memory write
EventID: 1 + 10 correlation
# Process created then accessed with PROCESS_VM_WRITE

# APC injection - queues code to thread's async procedure call queue
# Detection: Sysmon CreateRemoteThread from non-system process
EventID: 8
SourceImage NOT IN (known_legitimate_sources)

# MDE KQL:
DeviceEvents
| where ActionType in ("CreateRemoteThreadApiCall", "NtAllocateVirtualMemoryApiCall")
| where InitiatingProcessFileName !in ("MsMpEng.exe", "svchost.exe")
| project Timestamp, DeviceName, ActionType, InitiatingProcessFileName,
    InitiatingProcessCommandLine, FileName

Step 4: Detect WMI-Based Persistence

# Sysmon Event IDs 19/20/21 for WMI events
EventID: 19  # WmiEventFilter activity detected
EventID: 20  # WmiEventConsumer activity detected
EventID: 21  # WmiEventConsumerToFilter activity detected

# Any WMI event subscription creation is suspicious unless expected
# Common malicious WMI persistence:
Consumer contains: "CommandLineEventConsumer" OR "ActiveScriptEventConsumer"

# Query for WMI subscriptions via osquery or PowerShell:
Get-WMIObject -Namespace root\Subscription -Class __EventFilter
Get-WMIObject -Namespace root\Subscription -Class __EventConsumer
Get-WMIObject -Namespace root\Subscription -Class __FilterToConsumerBinding

Step 5: Detect Registry-Based Execution

# Malware stored in registry values and executed via PowerShell
# Sysmon Event 13 - Registry value set with encoded content
EventID: 13
TargetObject contains: "CurrentVersion\Run"
Details: unusually long value or Base64-encoded content

# Detection query:
index=sysmon EventCode=13
| where match(Details, "[A-Za-z0-9+/=]{100,}")
| table _time host TargetObject Details Image

Key Concepts

TermDefinition
Fileless MalwareMalware that operates entirely in memory without writing executable files to disk
AMSIAntimalware Scan Interface; Windows API allowing security products to inspect script content before execution
Reflective DLL InjectionLoading a DLL from memory rather than disk, avoiding file-based detection
Process HollowingCreating a legitimate process in suspended state and replacing its memory with malicious code
Script Block LoggingPowerShell logging feature that captures deobfuscated script content (Event ID 4104)

Tools & Systems

  • Sysmon: Kernel-level process, DLL, and WMI monitoring
  • AMSI: Windows script content inspection API
  • PowerShell Logging: Script Block, Module, and Transcription logging
  • Microsoft Defender for Endpoint: Behavioral detection for fileless techniques
  • Volatility 3: Memory forensics for post-incident fileless malware analysis

Common Pitfalls

  • Relying on file-based AV: Traditional AV that scans files on disk will miss fileless attacks entirely. Behavioral detection and AMSI are required.
  • Disabled PowerShell logging: Without Script Block Logging, deobfuscated PowerShell commands are invisible to defenders.
  • AMSI bypass not detected: Sophisticated attackers bypass AMSI before executing payloads. Detect AMSI bypass attempts as a high-priority alert.
  • Not monitoring WMI events: WMI persistence is a favored technique of APT groups. Sysmon events 19-21 must be enabled.
how to use detecting-fileless-attacks-on-endpoints

How to use detecting-fileless-attacks-on-endpoints on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add detecting-fileless-attacks-on-endpoints
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-fileless-attacks-on-endpoints

The skills CLI fetches detecting-fileless-attacks-on-endpoints from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/detecting-fileless-attacks-on-endpoints

Reload or restart Cursor to activate detecting-fileless-attacks-on-endpoints. Access the skill through slash commands (e.g., /detecting-fileless-attacks-on-endpoints) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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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

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.645 reviews
  • Arjun Kapoor· Dec 24, 2024

    Keeps context tight: detecting-fileless-attacks-on-endpoints is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arjun Flores· Dec 20, 2024

    Useful defaults in detecting-fileless-attacks-on-endpoints — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Harper White· Dec 16, 2024

    detecting-fileless-attacks-on-endpoints has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 15, 2024

    Keeps context tight: detecting-fileless-attacks-on-endpoints is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Omar Jackson· Nov 11, 2024

    detecting-fileless-attacks-on-endpoints is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Carlos White· Nov 7, 2024

    Solid pick for teams standardizing on skills: detecting-fileless-attacks-on-endpoints is focused, and the summary matches what you get after install.

  • Carlos Jackson· Nov 7, 2024

    We added detecting-fileless-attacks-on-endpoints from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Carlos Chawla· Oct 26, 2024

    I recommend detecting-fileless-attacks-on-endpoints for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Harper Jackson· Oct 26, 2024

    Keeps context tight: detecting-fileless-attacks-on-endpoints is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Oct 6, 2024

    We added detecting-fileless-attacks-on-endpoints from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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