detecting-evasion-techniques-in-endpoint-logs▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.
| name | detecting-evasion-techniques-in-endpoint-logs |
| description | 'Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005. ' |
| domain | cybersecurity |
| subdomain | endpoint-security |
| tags | - endpoint - edr - threat-hunting - defense-evasion - MITRE-ATT&CK - detection-engineering |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - File Metadata Consistency Validation - Content Format Conversion - File Content Analysis - Platform Hardening - File Format Verification |
| nist_csf | - PR.PS-01 - PR.PS-02 - DE.CM-01 - PR.IR-01 |
Detecting Evasion Techniques in Endpoint Logs
When to Use
Use this skill when:
- Hunting for adversary defense evasion techniques (MITRE ATT&CK TA0005) in endpoint telemetry
- Building detection rules for common evasion methods (process injection, timestomping, log clearing)
- Investigating incidents where adversaries disabled or bypassed security tools
- Analyzing endpoint logs for indicators of living-off-the-land binary (LOLBin) abuse
Do not use this skill for network-level evasion (use network traffic analysis) or for malware reverse engineering.
Prerequisites
- Sysmon installed and configured with comprehensive logging rules (SwiftOnSecurity or Olaf Hartong config)
- Windows Security Event Log with advanced audit policy enabled
- EDR telemetry (CrowdStrike, SentinelOne, Microsoft Defender for Endpoint)
- SIEM platform for log correlation (Splunk, Elastic, Sentinel)
- MITRE ATT&CK Enterprise matrix for technique reference
Workflow
Step 1: Detect Log Tampering (T1070)
Windows Event Log clearing (T1070.001):
# Sysmon Event ID 1 (Process Create) for wevtutil
EventID: 1
CommandLine contains: "wevtutil cl" OR "wevtutil clear-log"
# Security Event ID 1102 - Audit log was cleared
EventID: 1102
Source: Microsoft-Windows-Eventlog
# System Event ID 104 - Event log was cleared
EventID: 104
# PowerShell log clearing
EventID: 1 (Sysmon)
CommandLine contains: "Clear-EventLog" OR "Remove-EventLog"
# Splunk query:
index=windows (EventCode=1102 OR EventCode=104)
OR (EventCode=1 CommandLine="*wevtutil*cl*")
OR (EventCode=1 CommandLine="*Clear-EventLog*")
| table _time host user CommandLine EventCode
Timestomping (T1070.006):
# Sysmon Event ID 2 - File creation time changed
EventID: 2
# Look for creation times set far in the past on recently-written files
# Correlate with Event ID 11 (FileCreate) - if FileCreate is recent but
# creation time in Event ID 2 is old, timestomping is likely
# MDE Advanced Hunting (KQL):
DeviceFileEvents
| where ActionType == "FileTimestampModified"
| where Timestamp > ago(7d)
| extend TimeDiff = datetime_diff('day', Timestamp, ReportedFileCreationTime)
| where TimeDiff > 30
| project Timestamp, DeviceName, FileName, FolderPath,
ReportedFileCreationTime, InitiatingProcessFileName
Step 2: Detect Process Injection (T1055)
# Sysmon Event ID 8 - CreateRemoteThread
EventID: 8
# Alert when source process is unusual (not system processes)
# Filter out known legitimate: antivirus, debugging tools
SourceImage NOT IN ("C:\Windows\System32\csrss.exe",
"C:\Windows\System32\lsass.exe")
# Sysmon Event ID 10 - ProcessAccess with suspicious access masks
EventID: 10
GrantedAccess contains: "0x1F0FFF" OR "0x1FFFFF" OR "0x001F0FFF"
# PROCESS_ALL_ACCESS = 0x1F0FFF (common in injection)
# Filter legitimate: AV accessing all processes
# Sysmon Event ID 25 - Process Tampering
EventID: 25
Type: "Image is replaced" # Process hollowing indicator
# Splunk detection:
index=sysmon EventCode=8
| where NOT match(SourceImage, "(?i)(csrss|svchost|MsMpEng|defender)")
| stats count by SourceImage TargetImage host
| where count < 5
| sort - count
Step 3: Detect Security Tool Disabling (T1562)
# Service stopped events for security services
EventID: 7045 (new service) OR 7036 (service state change)
ServiceName IN ("WinDefend", "Sense", "CrowdStrike Falcon Sensor",
"SentinelAgent", "csagent", "MBAMService")
# Sysmon Event ID 1 - Processes that disable Defender
CommandLine contains: "Set-MpPreference -DisableRealtimeMonitoring"
OR "sc stop WinDefend"
OR "sc config WinDefend start= disabled"
OR "net stop" AND ("windefend" OR "sense" OR "csagent")
# Registry modification to disable security features
# Sysmon Event ID 13 - Registry value set
TargetObject contains: "DisableAntiSpyware"
OR "DisableRealtimeMonitoring"
OR "DisableBehaviorMonitoring"
Details: "DWORD (0x00000001)"
# MDE KQL:
DeviceRegistryEvents
| where RegistryValueName in ("DisableAntiSpyware", "DisableRealtimeMonitoring")
| where RegistryValueData == "1"
| project Timestamp, DeviceName, RegistryKey, InitiatingProcessFileName
Step 4: Detect Masquerading (T1036)
# Sysmon Event ID 1 - Process with legitimate name from unusual path
EventID: 1
Image contains: "svchost.exe" AND Image NOT starts with: "C:\Windows\System32\"
Image contains: "csrss.exe" AND Image NOT starts with: "C:\Windows\System32\"
Image contains: "lsass.exe" AND Image NOT starts with: "C:\Windows\System32\"
# Process name mismatch (original filename vs. current name)
# Sysmon captures OriginalFileName from PE header
EventID: 1
OriginalFileName != (parsed filename from Image path)
# Double extension files
EventID: 11 (FileCreate)
TargetFilename matches: "*\.pdf\.exe" OR "*\.doc\.exe" OR "*\.jpg\.exe"
# Splunk:
index=sysmon EventCode=1
| eval process_name=mvindex(split(Image,"\\"),-1)
| where (process_name="svchost.exe" AND NOT match(Image,"(?i)C:\\\\Windows\\\\System32"))
OR (process_name="csrss.exe" AND NOT match(Image,"(?i)C:\\\\Windows\\\\System32"))
| table _time host Image ParentImage CommandLine User
Step 5: Detect LOLBin Abuse (T1218, T1127)
# Common LOLBin abuse patterns:
# mshta.exe executing remote content
EventID: 1
Image ends with: "mshta.exe"
CommandLine contains: "http" OR "javascript:" OR "vbscript:"
# certutil.exe downloading files
EventID: 1
Image ends with: "certutil.exe"
CommandLine contains: "-urlcache" OR "-decode" OR "-encode"
# regsvr32.exe executing scriptlets
EventID: 1
Image ends with: "regsvr32.exe"
CommandLine contains: "/s /n /u /i:" OR "scrobj.dll"
# rundll32.exe with unusual DLLs
EventID: 1
Image ends with: "rundll32.exe"
CommandLine contains: "javascript:" OR ".js" OR "http:"
# MSBuild executing inline tasks
EventID: 1
Image contains: "MSBuild.exe"
CommandLine NOT contains: ".sln" AND NOT contains: ".csproj"
Step 6: Build Detection Rule Correlation
# Combine multiple weak signals into high-confidence detection:
# Rule: Potential post-exploitation evasion chain
# Trigger when 3+ evasion techniques observed on same host within 1 hour
# Splunk correlation search:
index=sysmon host=*
| eval technique=case(
EventCode=2, "timestomping",
EventCode=8 AND NOT match(SourceImage,"csrss|svchost"), "process_injection",
EventCode=1 AND match(CommandLine,"(?i)wevtutil.*cl"), "log_clearing",
EventCode=13 AND match(TargetObject,"DisableRealtimeMonitoring"), "security_disable",
EventCode=1 AND match(CommandLine,"(?i)(mshta|certutil.*urlcache|regsvr32.*/s.*/n)"), "lolbin_abuse",
true(), NULL
)
| where isnotnull(technique)
| bin _time span=1h
| stats dc(technique) as technique_count values(technique) as techniques by host _time
| where technique_count >= 3
| sort - technique_count
Key Concepts
| Term | Definition |
|---|---|
| Defense Evasion (TA0005) | MITRE ATT&CK tactic where adversaries attempt to avoid detection during operations |
| Process Injection (T1055) | Technique of injecting code into another process's memory space to execute in a trusted context |
| Timestomping (T1070.006) | Modifying file timestamps to make malicious files appear old and blend with legitimate files |
| Masquerading (T1036) | Naming malicious files or processes to match legitimate system files to avoid detection |
| LOLBin | Living Off the Land Binary; legitimate Windows tool repurposed by adversaries |
| Indicator Removal (T1070) | Clearing logs, deleting files, or modifying artifacts to remove evidence of compromise |
Tools & Systems
- Sysmon: Advanced Windows system monitoring with kernel-level visibility
- Microsoft Defender for Endpoint: EDR with advanced hunting (KQL) for evasion detection
- CrowdStrike Falcon: IOA-based behavioral detection for evasion techniques
- Elastic Security: SIEM with prebuilt detection rules for ATT&CK evasion techniques
- Sigma Rules: Vendor-agnostic detection rule format with extensive evasion rule library
Common Pitfalls
- Alert fatigue from process injection rules: Many legitimate tools (AV, accessibility) perform process injection. Maintain an allowlist of known-good source processes.
- Missing Sysmon Event ID 8/10: Default Sysmon configurations may not capture CreateRemoteThread or ProcessAccess. Use a comprehensive Sysmon config.
- Ignoring parent process context: A suspicious command line from cmd.exe is concerning only if the parent of cmd.exe is unusual (e.g., Excel spawning cmd.exe).
- Not correlating across event types: Single events are often benign. Combine multiple weak signals (process creation + network connection + file creation) for high-confidence detections.
How to use detecting-evasion-techniques-in-endpoint-logs 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 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-evasion-techniques-in-endpoint-logs
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-evasion-techniques-in-endpoint-logs from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate detecting-evasion-techniques-in-endpoint-logs. Access the skill through slash commands (e.g., /detecting-evasion-techniques-in-endpoint-logs) 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.
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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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 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
Discussion
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Ratings
4.8★★★★★67 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Useful defaults in detecting-evasion-techniques-in-endpoint-logs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Soo Thompson· Dec 24, 2024
detecting-evasion-techniques-in-endpoint-logs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Jin Thompson· Dec 24, 2024
detecting-evasion-techniques-in-endpoint-logs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Dec 20, 2024
detecting-evasion-techniques-in-endpoint-logs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Omar Diallo· Dec 12, 2024
detecting-evasion-techniques-in-endpoint-logs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Diallo· Dec 8, 2024
Keeps context tight: detecting-evasion-techniques-in-endpoint-logs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Dev Jackson· Nov 27, 2024
detecting-evasion-techniques-in-endpoint-logs has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Omar Wang· Nov 15, 2024
Solid pick for teams standardizing on skills: detecting-evasion-techniques-in-endpoint-logs is focused, and the summary matches what you get after install.
- ★★★★★Arya Martin· Nov 15, 2024
I recommend detecting-evasion-techniques-in-endpoint-logs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ira Rao· Nov 15, 2024
Solid pick for teams standardizing on skills: detecting-evasion-techniques-in-endpoint-logs is focused, and the summary matches what you get after install.
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