performing-malware-persistence-investigation

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

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-malware-persistence-investigation
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summary

Systematically investigate all persistence mechanisms on Windows and Linux systems to identify how malware survives reboots and maintains access.

skill.md
name
performing-malware-persistence-investigation
description
Systematically investigate all persistence mechanisms on Windows and Linux systems to identify how malware survives reboots and maintains access.
domain
cybersecurity
subdomain
digital-forensics
tags
- forensics - malware-persistence - autoruns - registry - scheduled-tasks - rootkit-detection - incident-response
mitre_attack
- T1547.001 - T1053.005 - T1543.003 - T1546.003 - T1574
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- RS.AN-01 - RS.AN-03 - DE.AE-02 - RS.MA-01

Performing Malware Persistence Investigation

When to Use

  • When investigating how malware maintains presence on a compromised system after reboots
  • During incident response to identify all persistence mechanisms for complete remediation
  • For threat hunting to discover unauthorized autostart entries across endpoints
  • When analyzing malware behavior to understand its persistence strategy
  • For verifying that all persistence has been removed after incident remediation

Prerequisites

  • Forensic image or live system access with administrative privileges
  • Autoruns (Sysinternals) for Windows persistence enumeration
  • RegRipper for offline registry analysis
  • Understanding of Windows and Linux persistence mechanisms
  • YARA rules for scanning persistence locations
  • Baseline of known-good autorun entries for comparison

Workflow

Step 1: Enumerate Windows Registry Persistence

# Extract registry hives from forensic image
mount -o ro,loop,offset=$((2048*512)) /cases/case-2024-001/images/evidence.dd /mnt/evidence

# Key registry persistence locations
python3 << 'PYEOF'
from Registry import Registry
import json

results = {'registry_persistence': []}

# SYSTEM hive analysis
system_reg = Registry.Registry("/cases/case-2024-001/registry/SYSTEM")
select = system_reg.open("Select")
current = select.value("Current").value()
cs = f"ControlSet{current:03d}"

# Services (very common persistence)
services = system_reg.open(f"{cs}\\Services")
for svc in services.subkeys():
    try:
        start_type = svc.value("Start").value()
        image_path = ""
        try:
            image_path = svc.value("ImagePath").value()
        except:
            pass
        # Start types: 0=Boot, 1=System, 2=Auto, 3=Manual, 4=Disabled
        if start_type in (0, 1, 2) and image_path:
            svc_type = svc.value("Type").value() if svc.values() else 0
            results['registry_persistence'].append({
                'location': f'HKLM\\SYSTEM\\{cs}\\Services\\{svc.name()}',
                'type': 'Service',
                'value': image_path,
                'start_type': start_type,
                'timestamp': str(svc.timestamp())
            })
    except Exception:
        pass

# SOFTWARE hive analysis
sw_reg = Registry.Registry("/cases/case-2024-001/registry/SOFTWARE")

# Machine Run keys
run_keys = [
    "Microsoft\\Windows\\CurrentVersion\\Run",
    "Microsoft\\Windows\\CurrentVersion\\RunOnce",
    "Microsoft\\Windows\\CurrentVersion\\RunServices",
    "Microsoft\\Windows\\CurrentVersion\\RunServicesOnce",
    "Microsoft\\Windows\\CurrentVersion\\Policies\\Explorer\\Run",
    "Wow6432Node\\Microsoft\\Windows\\CurrentVersion\\Run",
    "Wow6432Node\\Microsoft\\Windows\\CurrentVersion\\RunOnce",
]

for key_path in run_keys:
    try:
        key = sw_reg.open(key_path)
        for value in key.values():
            results['registry_persistence'].append({
                'location': f'HKLM\\SOFTWARE\\{key_path}',
                'type': 'Run Key',
                'name': value.name(),
                'value': str(value.value()),
                'timestamp': str(key.timestamp())
            })
    except Exception:
        pass

# NTUSER.DAT analysis
import glob
for ntuser in glob.glob("/cases/case-2024-001/registry/NTUSER*.DAT"):
    try:
        user_reg = Registry.Registry(ntuser)
        user_run_keys = [
            "Software\\Microsoft\\Windows\\CurrentVersion\\Run",
            "Software\\Microsoft\\Windows\\CurrentVersion\\RunOnce",
            "Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\Shell Folders\\Startup",
        ]
        for key_path in user_run_keys:
            try:
                key = user_reg.open(key_path)
                for value in key.values():
                    results['registry_persistence'].append({
                        'location': f'HKCU\\{key_path}',
                        'type': 'User Run Key',
                        'name': value.name(),
                        'value': str(value.value()),
                        'timestamp': str(key.timestamp()),
                        'hive': ntuser
                    })
            except Exception:
                pass
    except Exception:
        pass

print(f"Total registry persistence entries: {len(results['registry_persistence'])}")
for entry in results['registry_persistence']:
    print(f"  [{entry['type']}] {entry.get('name', '')} -> {entry.get('value', '')[:100]}")

with open('/cases/case-2024-001/analysis/registry_persistence.json', 'w') as f:
    json.dump(results, f, indent=2)
PYEOF

Step 2: Check Scheduled Tasks and WMI Persistence

# Extract scheduled tasks from forensic image
mkdir -p /cases/case-2024-001/persistence/tasks/
cp -r /mnt/evidence/Windows/System32/Tasks/* /cases/case-2024-001/persistence/tasks/ 2>/dev/null

# Parse scheduled task XML files
python3 << 'PYEOF'
import os, xml.etree.ElementTree as ET

tasks_dir = '/cases/case-2024-001/persistence/tasks/'
suspicious_tasks = []

for root_dir, dirs, files in os.walk(tasks_dir):
    for fname in files:
        fpath = os.path.join(root_dir, fname)
        try:
            tree = ET.parse(fpath)
            root = tree.getroot()
            ns = {'t': 'http://schemas.microsoft.com/windows/2004/02/mit/task'}

            actions = root.findall('.//t:Exec', ns)
            for action in actions:
                command = action.find('t:Command', ns)
                args = action.find('t:Arguments', ns)
                cmd_text = command.text if command is not None else ''
                args_text = args.text if args is not None else ''

                # Flag suspicious commands
                suspicious_indicators = [
                    'powershell', 'cmd.exe', 'wscript', 'cscript', 'mshta',
                    'regsvr32', 'rundll32', 'certutil', 'bitsadmin',
                    '/c ', '-enc', '-e ', 'hidden', 'bypass', 'downloadstring',
                    'invoke-', 'iex', '/tmp/', 'appdata', 'programdata',
                    'temp\\', '.ps1', '.vbs', '.hta', 'base64'
                ]

                is_suspicious = any(s in (cmd_text + ' ' + args_text).lower() for s in suspicious_indicators)

                task_info = {
                    'name': fname,
                    'path': fpath.replace(tasks_dir, ''),
                    'command': cmd_text,
                    'arguments': args_text,
                    'suspicious': is_suspicious
                }

                if is_suspicious:
                    suspicious_tasks.append(task_info)
                    print(f"SUSPICIOUS TASK: {fname}")
                    print(f"  Command: {cmd_text}")
                    print(f"  Arguments: {args_text}")
                    print()

        except Exception as e:
            pass

print(f"\nTotal suspicious scheduled tasks: {len(suspicious_tasks)}")
PYEOF

# Check WMI event subscriptions (common APT persistence)
# WMI repository: C:\Windows\System32\wbem\Repository\
cp -r /mnt/evidence/Windows/System32/wbem/Repository/ /cases/case-2024-001/persistence/wmi/ 2>/dev/null

# Parse WMI persistence using PyWMIPersistenceFinder
python3 << 'PYEOF'
import os, re

# Search WMI OBJECTS.DATA for event subscriptions
wmi_db = '/cases/case-2024-001/persistence/wmi/OBJECTS.DATA'
if os.path.exists(wmi_db):
    with open(wmi_db, 'rb') as f:
        data = f.read()

    # Search for EventFilter strings
    filters = re.findall(b'__EventFilter.*?(?=\x00\x00)', data)
    consumers = re.findall(b'CommandLineEventConsumer.*?(?=\x00\x00)', data)
    bindings = re.findall(b'__FilterToConsumerBinding.*?(?=\x00\x00)', data)

    print("=== WMI PERSISTENCE ===")
    print(f"Event Filters: {len(filters)}")
    print(f"Command Consumers: {len(consumers)}")
    print(f"Filter-Consumer Bindings: {len(bindings)}")

    for consumer in consumers:
        decoded = consumer.decode('utf-8', errors='ignore')
        print(f"  Consumer: {decoded[:200]}")
else:
    print("WMI repository not found")
PYEOF

Step 3: Check File System and Boot Persistence

# Startup folders
echo "=== STARTUP FOLDER CONTENTS ===" > /cases/case-2024-001/analysis/startup_items.txt

ls -la "/mnt/evidence/ProgramData/Microsoft/Windows/Start Menu/Programs/Startup/" \
   >> /cases/case-2024-001/analysis/startup_items.txt 2>/dev/null

for userdir in /mnt/evidence/Users/*/; do
    username=$(basename "$userdir")
    echo "--- User: $username ---" >> /cases/case-2024-001/analysis/startup_items.txt
    ls -la "$userdir/AppData/Roaming/Microsoft/Windows/Start Menu/Programs/Startup/" \
       >> /cases/case-2024-001/analysis/startup_items.txt 2>/dev/null
done

# Check DLL search order hijacking locations
echo "=== DLL HIJACKING CHECK ===" > /cases/case-2024-001/analysis/dll_hijack.txt
# Check for DLLs in application directories that should only be in System32
find /mnt/evidence/Program\ Files/ /mnt/evidence/Program\ Files\ \(x86\)/ \
   -name "*.dll" -newer /mnt/evidence/Windows/System32/ntdll.dll 2>/dev/null \
   >> /cases/case-2024-001/analysis/dll_hijack.txt

# Check for COM object hijacking
python3 << 'PYEOF'
from Registry import Registry

reg = Registry.Registry("/cases/case-2024-001/registry/SOFTWARE")

# Check for suspicious CLSID entries
try:
    clsid = reg.open("Classes\\CLSID")
    for key in clsid.subkeys():
        try:
            server = key.subkey("InprocServer32")
            dll_path = server.value("(default)").value()
            if any(s in dll_path.lower() for s in ['temp', 'appdata', 'programdata', 'downloads', 'tmp']):
                print(f"SUSPICIOUS COM: {key.name()} -> {dll_path}")
        except:
            pass
except:
    pass
PYEOF

# Check boot configuration for bootkits
# BCD (Boot Configuration Data)
ls -la /mnt/evidence/Boot/BCD 2>/dev/null
# Check for modified bootmgr or winload.exe
sha256sum /mnt/evidence/Windows/System32/winload.exe 2>/dev/null

Step 4: Check Linux Persistence Mechanisms

# If analyzing a Linux system
LINUX_ROOT="/mnt/evidence"

echo "=== LINUX PERSISTENCE CHECK ===" > /cases/case-2024-001/analysis/linux_persistence.txt

# Cron jobs
echo "--- Cron Jobs ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
cat $LINUX_ROOT/etc/crontab >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null
ls -la $LINUX_ROOT/etc/cron.d/ >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null
cat $LINUX_ROOT/etc/cron.d/* >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null
cat $LINUX_ROOT/var/spool/cron/crontabs/* >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# Systemd services
echo "--- Custom Systemd Services ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
find $LINUX_ROOT/etc/systemd/system/ -name "*.service" -not -type l \
   >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# SSH authorized keys
echo "--- SSH Authorized Keys ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
find $LINUX_ROOT/home/ $LINUX_ROOT/root/ -name "authorized_keys" -exec cat {} \; \
   >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# Init scripts and rc.local
echo "--- RC Scripts ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
cat $LINUX_ROOT/etc/rc.local >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# Shell profile scripts
echo "--- Profile Scripts ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
cat $LINUX_ROOT/etc/profile.d/*.sh >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# LD_PRELOAD
echo "--- LD_PRELOAD ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
cat $LINUX_ROOT/etc/ld.so.preload >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null
grep -r "LD_PRELOAD" $LINUX_ROOT/etc/ >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# Kernel modules
echo "--- Loaded Kernel Modules ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
cat $LINUX_ROOT/etc/modules-load.d/*.conf >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

# PAM backdoors
echo "--- PAM Configuration ---" >> /cases/case-2024-001/analysis/linux_persistence.txt
find $LINUX_ROOT/etc/pam.d/ -exec grep -l "pam_exec\|pam_script" {} \; \
   >> /cases/case-2024-001/analysis/linux_persistence.txt 2>/dev/null

Step 5: Compile Persistence Report

# Generate comprehensive persistence report
python3 << 'PYEOF'
import json

with open('/cases/case-2024-001/analysis/registry_persistence.json') as f:
    reg_data = json.load(f)

report = """
MALWARE PERSISTENCE INVESTIGATION REPORT
==========================================

PERSISTENCE MECHANISMS FOUND:

1. REGISTRY RUN KEYS:
"""

run_keys = [e for e in reg_data['registry_persistence'] if 'Run' in e.get('type', '')]
for entry in run_keys:
    report += f"   [{entry['timestamp']}] {entry.get('name', 'N/A')} -> {entry.get('value', '')[:100]}\n"

services = [e for e in reg_data['registry_persistence'] if e.get('type') == 'Service']
report += f"\n2. SERVICES ({len(services)} auto-start services):\n"
for entry in services[:20]:
    report += f"   {entry['location'].split('\\')[-1]}: {entry['value'][:100]}\n"

report += """
3. SCHEDULED TASKS: [See scheduled_tasks analysis]
4. WMI SUBSCRIPTIONS: [See WMI analysis]
5. STARTUP FOLDER: [See startup_items.txt]
6. COM HIJACKING: [See COM analysis]

SUSPICIOUS ENTRIES REQUIRING INVESTIGATION:
"""

# Flag suspicious entries
for entry in reg_data['registry_persistence']:
    value = str(entry.get('value', '')).lower()
    suspicious_indicators = ['powershell', 'cmd /c', 'wscript', 'certutil',
                             'programdata', 'appdata\\local\\temp', 'base64',
                             '.ps1', '.vbs', '.hta', '/tmp/', 'hidden']
    if any(s in value for s in suspicious_indicators):
        report += f"   SUSPICIOUS: {entry.get('name', 'N/A')} -> {entry.get('value', '')[:100]}\n"

with open('/cases/case-2024-001/analysis/persistence_report.txt', 'w') as f:
    f.write(report)

print(report)
PYEOF

Key Concepts

ConceptDescription
Run keysRegistry keys executing programs at user logon (HKLM and HKCU)
Scheduled tasksWindows Task Scheduler entries that execute on triggers (time, event, logon)
WMI event subscriptionsPersistent WMI queries that trigger actions (stealthy persistence)
COM hijackingRedirecting COM object loading to execute malicious DLLs
DLL search order hijackingPlacing malicious DLLs in directories searched before System32
Service persistenceInstalling Windows services that auto-start with the system
Boot-level persistenceModifying boot configuration or MBR/VBR for pre-OS execution
Living-off-the-landUsing legitimate system tools (PowerShell, WMI, certutil) for persistence

Tools & Systems

ToolPurpose
AutorunsSysinternals comprehensive autostart enumeration tool
RegRipperAutomated registry persistence artifact extraction
KAPEAutomated persistence artifact collection and analysis
VelociraptorEndpoint agent with persistence hunting artifacts
OSQuerySQL-based system querying for persistence enumeration
PersistenceSniperPowerShell tool for Windows persistence detection
RECmdEric Zimmerman registry command-line analysis tool
VolatilityMemory forensics for in-memory only persistence

Common Scenarios

Scenario 1: APT Persistence After Initial Compromise Check all registry Run keys, enumerate scheduled tasks for encoded PowerShell commands, examine WMI event subscriptions for event-triggered execution, check COM object registrations for hijacked CLSIDs, review services for recently installed entries with suspicious image paths.

Scenario 2: Ransomware Pre-Encryption Persistence Identify how the ransomware maintains access for re-encryption or monitoring, check for scheduled tasks that would re-launch encryption, examine services installed by the ransomware operator, verify no additional backdoor persistence exists before declaring remediation complete.

Scenario 3: Fileless Malware Persistence Focus on registry-based persistence storing payload in registry values, check WMI subscriptions executing PowerShell from event triggers, examine scheduled tasks using encoded command arguments, check for mshta/rundll32 based persistence loading remote content.

Scenario 4: Post-Remediation Verification Run Autoruns comparison against known-good baseline, verify all identified persistence mechanisms have been removed, check for additional persistence that may have been missed, confirm services, tasks, and registry entries are clean, monitor for re-infection indicators.

Output Format

Persistence Investigation Summary:
  System: DESKTOP-ABC123 (Windows 10 Pro)
  Analysis Date: 2024-01-20

  Persistence Mechanisms Found:
    Registry Run Keys (HKLM):    5 entries (1 SUSPICIOUS)
    Registry Run Keys (HKCU):    3 entries (1 SUSPICIOUS)
    Services (Auto-Start):       142 entries (2 SUSPICIOUS)
    Scheduled Tasks:             67 entries (3 SUSPICIOUS)
    WMI Subscriptions:           1 entry (SUSPICIOUS)
    Startup Folder:              4 items (1 SUSPICIOUS)
    COM Objects:                 0 hijacked entries
    DLL Hijacking:               0 detected

  Suspicious Entries:
    1. HKCU\Run\WindowsUpdate -> powershell -ep bypass -e <base64>
       Timestamp: 2024-01-15 14:35:00
       Action: Encoded PowerShell download cradle

    2. Service: WinDefenderUpdate -> C:\ProgramData\svc\update.exe
       Timestamp: 2024-01-15 14:40:00
       Action: Unknown executable in ProgramData

    3. Task: \Microsoft\Windows\Maintenance\SecurityUpdate
       Command: cmd.exe /c powershell -w hidden -e <base64>
       Trigger: On system startup

    4. WMI: __EventFilter "ProcessStart" -> CommandLineEventConsumer
       Action: Execute C:\Windows\Temp\svc.exe on WMI event

  Remediation Required: 4 persistence mechanisms to remove
  Report: /cases/case-2024-001/analysis/persistence_report.txt
how to use performing-malware-persistence-investigation

How to use performing-malware-persistence-investigation 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 performing-malware-persistence-investigation
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/performing-malware-persistence-investigation

The skills CLI fetches performing-malware-persistence-investigation 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?
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4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-malware-persistence-investigation

Reload or restart Cursor to activate performing-malware-persistence-investigation. Access the skill through slash commands (e.g., /performing-malware-persistence-investigation) 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.

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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

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general reviews

Ratings

4.656 reviews
  • Soo Garcia· Dec 24, 2024

    Solid pick for teams standardizing on skills: performing-malware-persistence-investigation is focused, and the summary matches what you get after install.

  • Yuki Jain· Dec 24, 2024

    performing-malware-persistence-investigation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Nasser· Dec 8, 2024

    I recommend performing-malware-persistence-investigation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kofi Tandon· Nov 27, 2024

    performing-malware-persistence-investigation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yuki Martin· Nov 15, 2024

    We added performing-malware-persistence-investigation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yuki Ghosh· Nov 15, 2024

    performing-malware-persistence-investigation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sakshi Patil· Nov 7, 2024

    performing-malware-persistence-investigation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chaitanya Patil· Oct 26, 2024

    Keeps context tight: performing-malware-persistence-investigation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Diallo· Oct 18, 2024

    Registry listing for performing-malware-persistence-investigation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakura Martin· Oct 6, 2024

    performing-malware-persistence-investigation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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