🔏
RootGuard
HomeSOC OperationsIncident ResponseWindows ForensicsLinux ForensicsKQL Investigations
  • Welcome
    • RootGuard
      • Who Am I?
        • Professional Profile
  • Resources Hub
    • Blogs
      • Articles
        • Safeguarding SMEs: The Strategic Importance of a Security Operations Center (SOC)
      • Posts
        • Roadmap to Becoming a Cybersecurity Specialist
        • Starting a Career in Cybersecurity
        • A Guide to Landing Your First Cybersecurity Analyst Role
        • Moving from Intermediate to Expert Incident Responder
  • SOC Operations
    • Introduction
      • Development Resources
        • SOC Analysts Roadmap
        • Becoming A SOC Analyst
        • SOC Analysts Prep Interview Questions
    • Essential Skills
      • Critical Windows EventIDs to Monitor
    • Junior Analyst Skills
      • Splunk Use Cases
      • KQL Use Cases
        • Reconnaissance (TA0043)
        • Initial Access (TA0001)
        • Execution (TA0002)
        • Persistence (TA0003)
        • Privilege Escalation (TA0004)
        • Defence Evasion (TA0005)
        • Credential Access (TA0006)
        • Discovery (TA0007)
        • Lateral Movement (TA0008)
        • Collection (TA0009)
        • Command and Control (TA0011)
        • Exfiltration (TA0010)
        • Impact (TA0040)
      • Investigating Common Attacks
        • Domain Dominance Attacks - Detection & Analysis
        • Investigating a Suspected AD FS Distributed Key Management (DKM) Attack
        • Authentication From Suspicious DeviceName
        • Identifying Interactive or RemoteInteractive Session From Service Account
        • Identifying Split or Part Archive File Transfers
        • Detect Potential Cleartext Credentials in Command Line
        • Detecting Command Line Interpreters Launched via Scheduled Tasks
        • Detecting Files Containing Potentially Sensitive Data
        • Detecting DeviceNetworkEvents From Windows Processes and Domains by TLD
        • Detecting Silent cmd.exe Execution With Redirected STDERR & STDOUT
        • Detecting Low Prevalence DLL Loaded From Process In User Downloads Directory
        • Detecting Virtual Drive Mounted From Archive
        • Identify Execution of Script From User's Downloads Folder
        • Identify Potential RDP Tunneled Sessions
        • Identify Instances of PowerShell Invoke-WebRequest, IWR or Net.WebClient
        • Identify Processes Launched by PowerShell Remoting (WSMProvHost.exe)
        • Detect DeviceNetworkEvents for LOLBAS with Download or Upload Functions
        • Detect Execution of PSEXESVC via Remote Systems
        • Identify Suspicious String in Service Creation ImagePath
        • Identify File with Double Extensions
        • Detect Potential Cleartext Credentials in Commandline
        • Detect When Large Number of Files Downloaded From OneDrive or SharePoint
        • Identify and Investigate Phishing Attacks with KQL
      • PowerShell for SecOps
        • Powershell Remoting
        • Reconnaissance Discovery
        • Initial Access Discovery
        • Execution Discovery
        • Persistence Discovery
        • Privilege Escalation Discovery
        • Defence Evasion Discovery
        • Credential Access Discovery
        • Discovery
        • Lateral Movement Discovery
        • Collection Discovery
        • Command & Control (C2) Discovery
        • Exfiltration Discovery
        • Impact Discovery
      • Packet Analysis (pcap)
        • Tcpdump
        • Tcpdump (Intermediate)
        • Tshark
        • Ngrep
      • Investigating Suspicious Emails Using KQL
    • Intermediate and Advanced Skills
      • Investigate Using MITRE ATT&CK Methodology
        • Reconnaissance (TA0043) Techniques
        • Resource Development (TA0042) Techniques
        • Initial Access (TA0001) Techniques
        • Command Execution (TA0002) Techniques
        • Persistence (TA0003) Techniques
        • Privilege Escalation (TA0004) Techniques
        • Defence Evasion (TA0005) Techniques
        • Credential Access (TA0006) Techniques
        • Discovery (TA0007) Techniques
        • Lateral Movement (TA0008) Techniques
        • Collection (TA0009) Techniques
        • Command and Control (C2) (TA0011) Techniques
        • Exfiltration (TA0010) Techniques
        • Impact (TA0040) Techniques
    • Vulnerability Management
    • Malware Analysis
  • DFIR
    • Incident Response
      • Incident Triage
        • Triage Types and Processes
        • PowerShell for Detection and Analysis
          • Malware or Compromise Investigation
          • Lateral Movement Discovery
        • Registry Analysis
        • Sysinternals Intrusion Analysis
        • PowerShell Intrusion Analysis
        • Velociraptor Intrusion Analysis
        • Zimmerman Tools Intrusion Analysis
      • KAPE Artifacts Analysis
      • Velociraptor Artifacts Analysis
      • Using The Unified Kill Chain Model to Analyse Individual Cyber Attacks
        • Phase 1 - Gaining an Initial Foothold
          • Gaining Access to the Network
          • Establishing a Foothold
          • Network Discovery
      • Response Strategies
        • Privilege Escalation Assessment
        • Command and Control Assessment
        • Command Execution Assessment
        • Defence Evasion Assessment
        • Detection Assessment
        • Discovery Assessment
        • Exfiltration Assessment
        • Initial Access Assessment
        • Initial Impact Assessment Techniques
        • Lateral Movement Assessment
        • Persistence Assessment
    • Windows Forensics
      • Evidence of Execution
      • Window Artifact Analysis
        • Account Usage
        • User Activity Tracking (Event Logs)
        • Program Execution
        • File and Folder Opening
        • File Download
        • Browser Usage
        • Deleted File or File Knowledge
        • External Device & USB Usage
    • Linux Forensics
      • Linux Commandline Basics
      • Host Compromise Assessment
    • KQL for Defender & Sentinel
      • MDO (Office)
      • MDI (Identity)
      • MDE (Endpoint)
    • Memory Forensics
      • Memory Forensics (Volatility 3)
    • Playbooks
      • First Responder DFIR Playbook
        • Device Isolation
        • Evidence Collection
          • Acquire Triage Image Using KAPE
          • Acquire Triage Data Using Velociraptor
          • Acquire Triage Data Using Powershell
          • Acquire Triage Memory Image
          • Acquire Image Using FTK
          • AXIOM Cyber Data Collection
        • Windows Forensic Artefacts
          • Application Execution
          • File & Folder Knowledge
          • External Device Usage
          • Network Activity
          • Windows Event Logs
        • Initial Analysis
          • Memory Analysis (Vol 3)
          • Axiom Cyber Examiner
  • Detection Engineering
    • AD Attack Detections & Mitigations
      • Kerberoasting
      • Authentication Server Response (AS-REP) Roasting
      • Password Spraying
      • MachineAccountQuota Compromise
      • Unconstrained Delegation
      • Password in Group Policy Preferences (GPP) Compromise
      • Active Directory Certificate Services (AD CS) Compromise
      • Golden Certificate
      • DCSync
      • Dumping ntds.dit
      • Golden Ticket
      • Silver Ticket
      • Golden Security Assertion Markup Language (SAML)
      • Microsoft Entra Connect Compromise
      • One-way Domain Trust Bypass
      • Security Identifier (SID) History Compromise
      • Skeleton Key
      • Active Directory Security Controls
      • Active Directory Events for Detecting Compromise
    • Attack Triage Playbooks (KQL Triage)
      • Windows Malware Detection Playbook
      • Linux Host Intrusion Detection Playbook (CLI)
      • Linux Intrusion Detection Playbook
      • Large-Scale Compromise Detection Playbook
      • Ransomware Detection Playbook
      • Phishing Email Compromise Detection Playbook
      • Scam Detection Playbook
      • Customer Phishing Detection Playbook
      • Insider Abuse Detection Playbook
      • Information Leakage Detection Playbook
      • Social Engineering Detection Playbook
      • Malicious Network Behaviour Detection Playbook
      • Windows Intrusion Detection Playbook
      • Vulnerability Detection Playbook
      • Business Email Compromise Detection Playbook
    • Process Execution (KQL Triage)
    • Threat Hunting
      • Hunting Ransomware Indicators
      • Hunting With KQL
        • Detecting Malware Infection (MITRE ATT&CK: T1566, T1059)
        • Discovery Activities (MITRE ATT&CK: T1016, T1083, T1046)
        • Credential Theft (MITRE ATT&CK: T1003, T1078)
        • Lateral Movement (MITRE ATT&CK: T1076, T1021)
        • Data Theft (MITRE ATT&CK: T1041, T1071)
        • Detecting CommandLine Executions (MITRE ATT&CK: T1059)
        • Windows Security Logs (Identity and Logon Activities)
      • Hunting With Splunk
Powered by GitBook
On this page
Edit on GitHub
  1. DFIR
  2. Incident Response
  3. Using The Unified Kill Chain Model to Analyse Individual Cyber Attacks
  4. Phase 1 - Gaining an Initial Foothold

Network Discovery

Introduction

The Unified Kill Chain (UKC) model provides a structured approach to investigating Network Discovery activities, a crucial stage in an attack lifecycle where adversaries gather information about the network, Active Directory (AD), and connected systems. In this phase, attackers use built-in tools and third-party utilities to perform reconnaissance, map network topology, identify high-value targets, and uncover security gaps. By leveraging the UKC model, defenders can identify signs of unauthorised discovery activity, link them to specific tactics, techniques, and procedures (TTPs), and take appropriate steps to mitigate potential threats.

Attackers often rely on tools that are either built into Microsoft Windows or are easily accessible, making detection more challenging. Below are some commonly used tools and methods during the network discovery phase:

  • ADRecon: A PowerShell-based tool designed to extract detailed Active Directory information, such as users, groups, and trusts, for reconnaissance purposes.

  • BloodHound (or SharpHound): A tool that leverages Windows API functions and Lightweight Directory Access Protocol (LDAP) queries to analyse and visualise AD privilege escalation paths.

  • ADFind: A command-line tool used to query Active Directory for information on objects, attributes, and group memberships.

  • ADExplorer: A Sysinternals tool that provides advanced browsing and editing capabilities for Active Directory, enabling attackers to view and manipulate directory data.

  • CrackMapExec: A post-exploitation tool written in Python that automates various tasks, including network reconnaissance, credential validation, and privilege escalation.

  • PowerView: A PowerShell tool used to gain situational awareness of a Windows network by identifying shares, users, groups, and trust relationships.

  • LDAP Browser: A utility for browsing and analysing LDAP directories, often used to inspect AD data structures.

  • PowerShell Built-In Applets: Attackers use native PowerShell cmdlets, such as Get-ADUser or Get-NetIPAddress, to extract network and AD data stealthily.

  • Nltest: A command-line tool for querying domain controllers, trust relationships, and domain status.

  • Net.exe: A Windows command-line tool used to enumerate shared resources, domain groups, and user accounts.

The above utilities use Microsoft protocols implemented in Active Directory setups: LDAP and Simple Message Block (SMB) and their wrappers, including Microsoft remote procedure call (MS-RPC) operating via TCP/UDP ports 139 and 445 and network or locally named pipes \pipe<pipe_name>. In addition, they may involve Microsoft Remote Server Administration Tools (RSAT) if available and implement authentication protocols support via Kerberos, NTLM, Wdigest, and SSL/TLS.

These tools can be obfuscated or packed, executables can be renamed, or input parameter names can be changed to avoid detection. In cases where malware is used, a stager or payload can be used to invoke Recon-AD, a tool based on Active Directory Service Interface (ADSI), that operates via COM-objects to access the features of directory services from different network providers. These tools are usually delivered and executed in memory, which makes forensic analysis much more challenging and requires user-space monitoring such as Windows API functions hooks. Effective EDR/XDR solutions will detect these activities.

Once network discovery is done, an adversary captures information about the reachable subnets and matches hostnames to their IP addresses. This results in a clearer understanding of which ports are available from the current host. Additionally, they will search for unpatched systems using active and passive techniques. The next potential objective is for the attacker to maintain sufficient access and visibility across the environment.

Adversaries frequently use these tools during network discovery due to their availability and ability to blend into regular administrative activity. By focusing on these tools and their usage patterns, defenders can identify suspicious behaviour, such as excessive AD queries, abnormal use of PowerShell, or unauthorised execution of discovery tools. Using detection platforms like Microsoft Sentinel (KQL), Velociraptor (VQL), and Splunk (SPL), SOC analysts can systematically investigate network discovery activities and disrupt attackers early in the attack lifecycle.

PreviousEstablishing a FootholdNextResponse Strategies

Last updated 4 months ago