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The Cyber Security Library
  • The Library
  • Offensive Security
    • Solar, Exploiting log4j
      • Reconnaissance
      • Discovery
      • Proof of Concept
      • Exploitation
    • Basic Authentication Bypass
      • Username Enumeration
      • Brute Force
      • Logic Flaw
      • Cookie Tampering
    • Insekube
      • Recon with Nmap
      • Checking out the web address
      • Creating a Reverse shell
      • Inside the Kubernetes pod
      • CVE-2021-43798
    • Snort
      • What is Snort? (For the uninitiated)
      • Task exercise
      • Traffic Generator
      • Brief overview of IDS and IPS
      • Checking Snort
      • Snort Sniffer mode
      • Packet Logger mode
    • Runtime Detection Evasion
      • Learning Objectives of AMSI
      • Runtime detections
      • AMSI Overview
      • AMSI Instrumentation
      • Powershell Downgrade
      • Powershell Reflection
      • Patching AMSI
    • Red team recon using OSINT
      • Taxonomy of Reconnaissance
      • Built-in tools
      • Advanced Searching
      • Specialized Search Engines
  • Malware
    • Introduction to Malware Analysis
      • What are the different types of malware analysis
      • Doing different types of analysis
      • Anti analysis techniques
    • Ransomeware: Maze
    • Exploring Steganography
    • Simple Trojan with Python
      • The Python Trojan
      • Breaking down the python code
  • Vulnerability Management
    • Nessus
      • Introduction
      • Nessus Essentials
      • Scans
      • Authenticated Scans
      • Results
      • Running custom scans
  • Cloud
    • AWS
      • AWS CDK: Deploy and using amazon SQS Que from Repo
        • Node modules and Bootstrapping troubleshooting
        • Sending and Receiving information from the stack
        • Destroying the stack and cleaning up
      • Using Different AWS Services with Splunk
        • AWS Config
          • How Does Config work?
          • How to enable Config
          • Settings
          • Aggregation
          • Creating Config Resource
          • Creating Aggregator
          • Adding Rules
        • CloudTrail
          • What is CloudTrail?
          • Features of CloudTrail
          • Benefits of CloudTrail
          • CloudTrail Event History
          • Securing CloudTrail
        • EventBridge
          • Configuring EventBridge and Event Patterns
          • EventBridge Targets
        • CloudWatch
          • The CloudWatch Dashboard
            • Virtual Machine
          • CloudWatch Alarms and Metric Filters
            • Searching logs using metric filters
            • CloudWatch Alarms
          • CloudWatch CIS Alarms
            • SNS
        • Configuring VPC Flow Logs
          • An introduction to VPC flow logs
        • Automating Incident Response with EventBridge
          • Creating Lambda functions
        • CloudTrail SIEM Integration (Splunk)
          • AWS architecture for integrating with Splunk
      • AWS DevOps EBS Volumes
        • CloudWatch
        • EBS Volume
        • Lambda
      • EKS Creating a deployment with AWS in the command Line
        • Setting up AWS Cloud9
        • Creating a Cluster
        • Creating Deployment
      • How to CloudShell SSH in to ec2 Instances
    • Azure
      • Worker CTF (Azure DevOps)
        • Enumeration
        • Using SVN
        • Exploring the Domain
        • Cracking Azure DevOps console
      • Software development environments and Azure DevOps pipeline abuse
        • Accessing Azure Devops
        • Exploring Project Pages
  • Splunk
    • Splunk SIEM Integration
      • AWS architecture for integrating with Splunk
    • Splunk Threat Hunting Ep.6 Credential Access
  • DevOps
    • Using AWS, Docker, Jenkins and SonarQube to improve code quality
      • Updating the Cloud Instance and Getting Docker
      • Installing SonarQube
      • Creating Jenkins Server
      • Manaing SonarQube and Jenkins
    • Creating a Codebuild project and getting the output with CloudWatch Logs
      • IAM
      • CodeBuild
  • CTF's
    • THM Wonderland
      • Nmap and Gobuster
      • Entering Wonderland
      • Privilege Escalation
    • Healthcare OpenEMR system -THM Plotted EMR
      • Recon with Nmap
      • Exploring the ports found
      • Gobuster
      • Searchsploit Open emr
    • Steam Cloud CTF Exploiting Kubernetes
      • SteamCloud Privilege Escalation
    • THM Flatline CTF
      • Recon with Nmap
      • Searchsploit for freeswitch
      • Using the exploit
      • Escalating my privileges
      • Gaining access inside the Windows RDP
    • Biteme CTF
      • Recon
      • Looking into the PHP code and decoding hexadecimal
      • Python script and Bash script
      • Bruteforcing MFA Code
      • Trying to gain access via SSH
      • Inside SSH
      • Fail2ban Privilege Escalation
    • Devoops CTF
      • Enumeration
      • Exploiting Web Page
      • Creating Python exploit
    • GoBox CTF
      • Enumeration
      • Using Burpsuite and creating Reverse shell
    • Explore: Android Box
      • Enumeration
      • Initial foothold
      • Privilege escalation
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On this page
  1. Offensive Security
  2. Red team recon using OSINT

Taxonomy of Reconnaissance

Reconnaissance (recon) can be classified into two parts:

Passive Recon: can be carried out by watching passively

Active Recon: requires interacting with the target to provoke it in order to observe its response.

Passive recon doesn't require interacting with the target. In other words, you aren't sending any packets or requests to the target or the systems your target owns. Instead, passive recon relies on publicly available information that is collected and maintained by a third party. Open Source Intelligence (OSINT) is used to collect information about the target and can be as simple as viewing a target's publicly available social media profile. Example information that we might collect includes domain names, IP address blocks, email addresses, employee names, and job posts. In the upcoming task, we'll see how to query DNS records and expand on the topics from the Passive Reconnaissance room and introduce advanced tooling to aid in your recon.

Active recon requires interacting with the target by sending requests and packets and observing if and how it responds. The responses collected - or lack of responses - would enable us to expand on the picture we started developing using passive recon. An example of active reconnaissance is using Nmap to scan target subnets and live hosts. Other examples can be found in the Active Reconnaissance room. Some information that we would want to discover include live hosts, running servers, listening services, and version numbers.

Active recon can be classified as:

External Recon: Conducted outside the target's network and focuses on the externally facing assets assessable from the Internet. One example is running Nikto from outside the company network.

Internal Recon: Conducted from within the target company's network. In other words, the pentester or red teamer might be physically located inside the company building. In this scenario, they might be using an exploited host on the target's network. An example would be using Nessus to scan the internal network using one of the target’s computers.

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Last updated 2 years ago