🦹
CYBERSECURITY BOOK
  • 👽CS && PEN-TESTING BOOK
    • 🔍Reconnaissance
      • 🈴Passive Recon
        • M365/Azure Tenant Recon
          • MSFTRecon
        • 🕵️OSINT
          • Data Breach and Leaks Resources
          • OSINT Tools and Resources
          • Shodan
          • Creepy
          • The US Army manual ATP 2-22.9
          • NATO OSINT manual
          • Twitter Geolocation
          • Geotagging: GeoSocial Footprint
          • Bitcoin Address Lookup
          • Google Docs OSINT
          • Monitoring Tools
          • TOR Onion Links
          • Phone Numbers
          • Mitaka - In-Browser Tool
          • Russian Target
          • FTP Servers
          • War Related
        • 🎟️ADINT
          • Surveillance
        • 🗺️GEOINT
          • Methodology
          • SunCalc - Geospatial OSINT using shadows
        • ☢️SIGINT
          • Methodology
          • Wifi
            • Kismet
        • ⛓️DNS Recon and Route Mapping
        • 👨‍💼Obtain User Information
        • 🕸️Web Recon
        • 🕷️Scraping Crypto Addresses
        • File Sharing Services
      • ☢️Active Recon
        • 🐹Stealth Scanning Strategies
        • 🏭Identify Network Infrastructure
        • 💻Host Enumeration
        • ⛷️Sparta
        • 🧩Fuzzing
          • ❄️Wfuzz
          • Fuzzing Applications
          • Linux Kernel Fuzzing
          • Fuzzing Chrome V8 Engine
      • ☦️Doxing
        • Doxing Anyone
        • Gmail Address
      • 🎥Surveillance
        • Location Tracking Techniques
    • 🔢Enumeration
      • 🔅Protocols and Ports
        • 21 - FTP
        • 22 - SSH
        • 23 - Telnet
        • 25, 465 - SMTP
        • 110, 143 - POP3, IMAP4
        • 1521 - Oracle DB Server
        • 3306 - Mysql
        • 2375 - Docker
        • 8080, 50000 - Jenkins
        • 80, 443 - HTTP, HTTPS
        • 3389 - RDP
        • 5900 - VNC
        • 445 - SMB
        • 161 UDP - SNMP
        • 11211 - Memcached
        • 2049 - NFS
      • 🐧Linux - POST
      • 🪟Windows - POST
      • 🕸️Web Apps
        • Directory Enumeration
        • Identify Virtual Websites
    • ☮️Public Exploits
      • Look for Public Exploits
      • Metasploit
    • 🕎Vulnerability Scanning
      • ⚛️Nuclei
      • ⛵Tsunami Security Scanner
      • Hunting and Exploiting Vulnerable Windows Drivers
    • 🕳️Tunneling & Exfiltration
      • SSH Tunneling
      • ICMP Exfiltration
      • DNS Exfiltration
      • DNS Tunneling
      • TCP/UDP Tunneling
      • CloudFlare Tunnel
      • SOCKS
      • Ngrok - Port Forwarding
      • CURL - Exfiltration
      • Rclone - Data Exfiltration
      • Data Bouncing - External Data Exfiltration
    • Backdoors
      • Asymmetric Backdoor
    • 🎣Pivoting (Post Exploitation)
      • Using Metasploit
      • SOCKS, SSH - Pivoting
      • Remote Port Forwarding
      • Tool - Chisel
      • Chisel - Double Pivoting
      • Bypassing Firewall with Forward Relays
      • Reverse Relays - Metasploit
      • Pivoting using Ligolo-Ng
    • 🎯Active Directory Pentesting
      • 🔑Crendentials
        • Group Policy Preferences
        • LLMNR Poisoning
        • LDAP (Post)
        • Brute Force
        • LAPS Toolkit
        • PFX File
      • 🐕‍🦺Kerberos Attacks
        • ASREProast
        • Kerberoast
        • Pass the Certificate
      • 🏁AD Post Exploitation
        • Active Directory Post Exploitation
      • ℹ️Introduction to Identities
      • 🔧Testing Active Directory
      • 🎓Advanced Penetration Testing
      • 🔧Automated Tools
        • ADCS Exploitation Tool
        • BadSuccessor – Full Active Directory Compromise
      • Hacking Active Directory Environment
        • 🕵️Enumeration
        • 🦸Exploitation
        • 🚪Privilege Escalation
      • Windows and Active Directory Attacks
        • Shared Local Administrator Password
        • NTLM/SMB Relay
    • 🐳Docker
      • Docker Container
      • Expose Docker Remotely
    • ☸️Kubernetes
      • Basic Commands
    • 🙅‍♂️Social Engineering
      • 🗺️Location Phishing
      • 🧘‍♂️0-Click Email Attack
      • 🐧Binary Linux Trojan
      • 📧Phishing Mail
      • 📁Malicious File
      • ♉Malicious USB Drive
      • 📩Spear-Phishing Methods (VIP)
      • 🧑‍💼Insider Attack
      • Wifi Phishing - Wifiphisher
      • 🔐MFA Bypass
      • Link Attacks
      • 📋Clipboard Hijacking (Post)
      • Copy-Paste Spoofing
    • 🗺️CEH Mindmaps
      • ℹ️Recon and Information Gathering
        • Lab 1: Perform Footprinting Through Search Engines
          • Task 1: Gather Information using Advanced Google Hacking Techniques
          • Task 2: Gather Information from Video Search Engines
          • Task 3: Gather Information from FTP Search Engines
          • Task 4: Gather Information from IoT Search Engines
        • Lab 2: Perform Footprinting Through Web Services
          • Task 1: Find the Company's Domains and Sub-domains using Netcraft
          • Task 2: Gather Personal Information using PeekYou Online People Search Service
          • Task 3: Gather an Email List using theHarvester
          • Task 4: Gather Information using Deep and Dark Web Searching
          • Task 5: Determine Target OS Through Passive Footprinting
        • Lab 3: Perform Footprinting Through Social Networking Sites
          • Task 1: Gather Employee's Information from LinkedIn using theHarvester
          • Task 2: Gather Personal Information from Various Social Networking Sites using Sherlock
          • Task3: Gather Information using Followerwonk
        • Lab 4: Perform Website Footprinting
          • Task 1: Gather Information About a Target Website using Ping Command Line Utility
          • Task 2: Gather Information About a Target Website using Photon
          • Task 3: Gather Information About a Target Website using Central Ops
          • Task 4: Extract a Company's Data using Web Data Extractor
          • Task 5: Mirror a Target Website using HTTrack Web Site Copier
          • Task 6: Gather Information About a Target Website using GRecon
          • Task 7: Gather a Wordlist from the Target Website using CeWL
        • Lab 5: Perform Email Footprinting
          • Task 1: Gather Information about a Target by Tracing Emails using eMailTrackerPro
        • Lab 6: Perform Whois Footprinting
          • Task 1: Perform Whois Lookup using DomainTools
        • Lab 7: Perform DNS Footprinting
          • Task 1: Gather DNS Information using nslookup Command Line Utility and Online
          • Task 2: Perform Reverse DNS Lookup using Reverse IP Domain Check and DNSRecon
          • Task 3: Gather Information of Subdomain and DNS Records using SecurityTrails
        • Lab 8: Perform Network Footprinting
          • Task 1: Locate Network Range
          • Task 2: Perform Network Tracerouting in Windows and Linux Machines
          • Task 3: Perform Advanced Network Route Tracing Using Path Analyzer Pro
        • Lab 9: Perform Footprinting using Various Footprinting Tools
          • Task 1: Footprinting a Target using Recon-ng
          • Task 2: Footprinting a Target using Maltego
          • Task 3: Footprinting a Target using OSRFramework
          • Task 4: Footprinting a Target using FOCA
          • Task 5: Footprinting a Target using BillCipher
          • Task 6: Footprint a Target using OSNIT Framework
      • 🔄Network Scanning
        • Tasks
      • 🔢Enumeration
        • Tasks
      • 👨‍🔧Vulnerability Analysis
        • Tasks
      • 🦸System Hacking
        • Tasks
      • *️Malware Analysis
        • Tasks
      • ❄️Sniffing
        • Tasks
      • 🧑‍🤝‍🧑Social Engineering
        • Tasks
      • 🚫Denial of Service
        • Tasks
      • 🛩️Session Hijacking
        • Tasks
      • 🆔Evading IDS, Firewalls, and Honeypots
        • Tasks
      • 🖥️Web Server Hacking
        • Tasks
      • 🕸️Web Application Hacking
        • Tasks
      • 💉SQL Injection
        • Tasks
      • 👁️‍🗨️Wireless Network Hacking
        • Tasks
      • 📱Mobile Hacking
        • Tasks
      • 👨‍🔬IoT and OT Hacking
        • Tasks
      • ☁️Cloud Computing
        • Tasks
      • 🔏Cryptography
        • Tasks
    • 🗾CND Mindmaps
    • 👿Vulnerability Research
      • 👨‍💻Code Review
    • 📶Network Security
      • 🦝Installing and Configuring Network Based IDS In Ubuntu: Suricata
      • 🏛️OpenSSL
      • 👩‍🚒Active Directory
        • LAPS
    • 🛂Port Forwarding
      • 🐧Linux
      • 🪟Windows
      • 🔄Router
    • 👾API Testing
      • Reverse Engineering
        • Reverse Engineer an API using MITMWEB and POSTMAN
      • API Hacking Basics
        • Practicals
      • 🕵️‍♂️API Recon
      • 📄API Documentation
        • ⚗️Lab: Exploiting an API endpoint using documentation
      • 👨‍🎤Identifying and Interacting with API Endpoint
        • ⚗️Lab: Finding and exploiting an unused API endpoint
      • 🦮Finding Hidden Parameters
      • 🍷Mass assignment vulnerabilities
        • ⚗️Lab: Exploiting a mass assignment vulnerability
      • ✅Preventing vulnerabilities in APIs
      • 😷Server-side parameter pollution
      • 🕵️‍♂️Testing for server-side parameter pollution in the query string
        • ⚗️Lab: Exploiting server-side parameter pollution in a query string
      • 🛣️Testing for server-side parameter pollution in REST paths
      • 🚧Testing for server-side parameter pollution in structured data formats
        • ⚗️Lab: Exploiting server-side parameter pollution in a REST URL
      • 👨‍🚀Testing with automated tools
      • 🚨Preventing server-side parameter pollution
    • 🕸️Web App Pentesting Notes
      • 🧰Web App Pentesting Tools
        • Fuzzing: ffuf Tool
        • Nosql Injection: NoSqlMap
        • Kiterunner
        • Burp Suite
      • ❌XSS and XSRF Together
      • 💉NoSQL Injection
        • NoSQL Databases
        • NoSQL syntax injection
        • NoSQL operator injection
        • Exploit Syntax Injection to Extract Data
        • Exploiting NoSQL operator injection to extract data
        • Timing based injection
        • Preventing NoSQL injection
      • 🧙Cross Site Request Forgery
      • 📼Hidden Parameter Discovery
      • 📌SSTI : Server Side Template Injection
        • Lab: Basic server-side template injection
        • Lab: Basic server-side template injection (code context)
        • Lab: Server-side template injection using documentation
        • Lab: Server-side template injection in an unknown language with a documented exploit
        • Lab: Server-side template injection with information disclosure via user-supplied objects
      • 💎JWT Attack
        • Exploiting flawed JWT signature verification
        • Brute-forcing secret keys
        • JWT header parameter injections
        • Prevent JWT attacks
      • 📊GraphQL API Vulnerabilities
        • Exploiting Unsanitized Arguments
        • Discovering Schema Information
          • Lab: Accessing private GraphQL posts
          • Lab: Accidental exposure of private GraphQL fields
        • Bypassing GraphQL introspection defenses
          • Lab: Finding a hidden GraphQL endpoint
        • Bypassing rate limiting using aliases
          • Lab: Bypassing GraphQL brute force protections
        • GraphQL CSRF
          • Lab: Performing CSRF exploits over GraphQL
      • 🔏Authentication Vulnerabilities
      • 🏇Race Conditions
        • Limit overrun race conditions
        • Multi Endpoint Race Conditions
        • Single Endpoint Race Conditions
        • Time Sensitive Attacks
      • 🧠LLM Attacks
        • Exploiting LLM APIs, functions, and plugins
        • Indirect Prompt Injection
      • ☸️Host Header Attacks
        • Testing for Vulnerability
        • Password Reset Poisoning
        • Web Cache Poisoning
        • Accessing Restricted Functionality
    • 🛩️Wireless Hacking
      • Zigbee Attacks
      • Wifi Attacks
        • Hack WPA2 Networks
        • Automated: Wifite
      • Bluetooth Attacks
        • BlueDucky Script
      • RFID Attacks
    • 🏁CEH Engage Walkthroughs
      • 1️⃣CEH Engage Part 1
      • 2️⃣CEH Engage Part 2
      • 3️⃣CEH Engage Part 3
      • 4️⃣CEH Engage Part 4
    • 🎃Evasion
      • OWASP-ZSC
      • AMSI Bypass
      • Windows Evasion
      • Windows Defender Application Control (WDAC): Killing EDR
      • InvisibilityCloak - C# Obfuscation Toolkit
    • 🚪Post exploitation
      • 🛬Living Off The Land Tools
      • 🥝Mimikatz
      • 🐧Privilege escalation: Linux
      • 🪟Privilege escalation: Windows
      • 👾PAC Tempering
      • Amnesiac - EDR Bypass
      • GraphRunner: A Post-Exploitation Toolset for Microsoft 365
    • 🔓Hashing & Password Cracking
      • Hashing
      • Custom Wordlist
      • Hydra
      • John
      • Windows - Local Password Cracking
      • Password Cracking using Rules
    • 📒Hacking Cheat Sheets
      • 🔍Recon Cheatsheet
      • 🔢Enumeration Cheatsheet
      • 🐚Shells and Reverse Shells Cheat Sheet
      • 🐮Meterpreter Cheat Sheet
      • ☄️Powershell Commands Cheat Sheet
      • 💉Command Injection Cheat Sheet
      • 🪡SQL Injection Cheat Sheet
      • 🐮Metasploit Cheat Sheet
      • 🧰Ethical Hacking Tools
      • 🐧Linux Hacking Basics
      • 🔺MSFVenom
    • 🏇CEH Practical
      • CEH Practical Tools
      • 🔍Network Scanning
      • 🐕‍🦺Service Enumeration
      • 🖊️Stegnography
      • 🔓Cryptography
      • 🕸️Web and Android Hacking
      • 🚪Privilege Escalation
      • 🦄Malware Threats
    • ☁️Cloud Pentesting
      • ✏️AWS Pentesting
        • 🌆AWS Environments
          • Identity and Access Management
          • Identity Based Policies
          • Resource Based Policy
          • Untitled
        • 🧰Tools
          • AWS CLI
          • Pacu
          • Prowler
          • Cloudsplaining
        • Attacks & Methodology
          • 👨‍🔬Exploiting AWS Misconfigurations
          • AWS Pentest Methodology
        • Initial Access
          • Public Access
          • Leaked Secrets
          • Phishing
          • Resource Exploitation
        • Post-Compromise Recon
          • AWS Command Line
          • Resource Enumeration
          • IAM Policy Enumeration
          • Identifying Public Resources
        • S3 Buckets
          • S3 Bucket Misconfiguration
      • 🅰️Azure Pentesting
        • Azure Attack Matrix
        • Stealing Access Tokens
        • Lateral Movement - Skeleton Key Attack
    • 🪟Windows Security
      • 🕵️‍♂️Recon
        • Host Discovery
        • SMB
        • MSSQL
        • IIS
      • 🦹Exploitation
        • CMD Commands
      • 🚪Post Exploitation
        • Dump Password Hashes
        • Mimikatz
      • 🦕Persistence (Post)
        • User Accounts, Hash Cracking, RID Hijacking
        • Backdoors
        • Services
        • Scheduled Tasks
        • Windows Startup
    • 🐧Linux Security
      • 🏋️‍♂️Privilege Escalation
        • 1️⃣1⃣ 1⃣ Exploiting Setuid Programs
        • 2️⃣2⃣ 2⃣ Cron Jobs
        • 3️⃣3⃣ 3⃣ Permissions
        • 4️⃣4⃣ 4⃣ Logs
        • 5️⃣5⃣ 5⃣ Restricted Shell
      • Persistence
        • D3m0n1z3dShell
    • 🍎MacOS Security
      • Endpoint Security
        • eslogger
      • Gaining Access
        • Setup and weaponize Mythic C2 using DarwinOps to target MacOS
    • 📱Android Security
      • Android Pentesting Notes
      • Android Application Pentesting Part 1
        • Static Analysis
        • Dynamic Analysis
      • Android Application Pentesting Part 2
        • Aspects of Android Security
        • Static Application Testing
        • Dynamic Application Testing - Part 1
        • Platform Interaction Testing
        • Dynamic Application Testing - Part 2
        • OWASP Top 10
      • Mobile Application Pentesting Part 3
        • Mobile Security Controls
        • Dynamic Analysis
        • Static Code Analysis
        • Insecure Data Storage
        • Runtime Security
    • 🍎iOS Security
      • iOS Application Analysis
    • 🧾Scripting
      • 💎Ruby
        • Basics
        • Object Types
      • 🐍Python
        • Web Scrapping Scripts
      • 🐧Bash
      • 🐪Perl
      • 🐘PHP
    • 🐉Reverse Engineering & Malware Analysis
      • RE Preparation
        • RE Process
        • Malware Analysis Tools
        • Malware Components: Windows
      • Shellcode Analysis
        • Automated Extraction
      • 1️⃣Disassembly and Disassembler
      • 2️⃣Binary Analysis
      • 🐧Linux ELF Format
      • ♎Yara Guide
      • 📱Android Reverse Engineering
        • Spyware Reverse Engineering
      • 📲Mobile Applications
        • Flutter Mobile Apps
    • 🌠Protocol Exploitation
      • ARP
      • DNS
      • VoIP
    • 🛜Network Pentesting
      • SNMP - Authentification
    • 👮Digital Forensics & Incident Response
      • 📩Email Forensics
        • Callback Phishing
        • Business Email Compromise Investigations
          • Investigating using Hawk
          • Microsoft Defender Explorer
      • 💸Ransomware Forensics
        • Decrypting Intermittent Encryption
      • 💱Blockchain Forensics
        • 🍾Frontrunning/Sandwich Bot Finder
      • 📝Memory Forensics
        • Process
        • Memory Analysis - Volatility3
      • ☄️Network Forensics
        • Pcap Analysis
      • 🪟Windows Forensics
        • NTDS Secret Extraction
        • Detecting Hidden Processes
        • Analyzing Prefetch Files
        • Windows MFT Parsing
        • USN Journal Forensics
      • 📼Media Forensics
        • Rubber Ducky Analysis
        • RDP Bitmap Cache
        • USB Event Tracking
      • 🧙Forensic Imaging
        • Image Analysis: Autopsy
      • 🪅Data Collection
        • 🪟Windows
        • 🐧Unix/Linux
      • 🔏Privacy Research
        • Deanonymization - TOR Hidden Services
        • Deanonymization - Flash Code
        • Dark Web - OSINT
        • Dark Web Investigation
      • 🕸️Web Investigations
        • Investigating Favicon Hashes
      • 🏴‍☠️Threat Detection
        • Reading Clipboard Data via Powershell
        • Detection of Windows Defender Tampering via Powershell
        • Detection of Remote Template Injection
    • 🦋Cisco Attacks
      • Decrypting Type 5 Cisco Passwords
    • 🐼CVE's
      • libssh 0.8.1 - CVE 2018-10933
      • proftpd-1.3.3c-backdoor
      • zerologon - CVE-2020-1472
      • Apache Ghostcat - CVE 2020-1938
      • Spring Authorization Bypass - CVE 2024-38821
      • Apache Solr - CVE-2024-45216
      • Bypassing Mark of the Web with 7zip CVE-2025-0411
      • CVE-2025-24054, NTLM Exploit in the Wild
    • 🐛OWASP TOP 10
      • LLM
        • OWASP Top 10 for LLM Applications
      • Machine Learning
        • OWASP Machine Learning Security Top Ten
      • 🕸️WEB
        • 1️⃣A01:2021 – Broken Access Control
        • 2️⃣A02:2021 – Cryptographic Failures
        • 3️⃣A03:2021 – Injection
        • 4️⃣A04:2021 – Insecure Design
        • 5️⃣A05:2021 – Security Misconfiguration
        • 6️⃣A06:2021 – Vulnerable and Outdated Components
        • 7️⃣A07:2021 – Identification and Authentication Failures
        • 8️⃣A08:2021 – Software and Data Integrity Failures
        • 9️⃣A09:2021 – Security Logging and Monitoring Failures
        • 🔟A10:2021 – Server-Side Request Forgery (SSRF)
      • 🦄API
      • 🌆IoT
      • 📱MOBILE
    • 🛼Web 3 Vulnerabilities
      • Fuzzing Ethereum Smart Contract
      • Static Analysis using Slither
      • Solidity Audit using Mythril
      • 🎆Reentrancy Vulnerabilities
      • 🥪Sandwich Attacks
      • 🌇Integer Attacks
      • 🚂Authorization Issues
      • 🌉Bad Randomness
    • 🛩️Web 3 Smart Contract
      • ⛎Blockchain Hacking (Python)
        • 🌆Smart Contract Template
        • 🎆Interact with ERC20 Tokens
        • 📲Interact with Wallets
        • 🍷Reverse Engineering Bytecode
        • ✒️Sign Transactions
        • 🪢Smart Contract Interactions
        • 🧜‍♀️Subscribing to Events
        • 🟤Brownie Interactions
        • 👾Exploit PoC
    • 🌃Smart Contract Audits
      • 🐸Thunder Loan Audit
        • 1️⃣Initial Review
    • 👩‍💼GRC Frameworks
      • NIST 800-39
      • SOC 2
      • HIPAA
      • PCI-DSS
      • NIST CSF
      • FedRAMP
      • CSA STAR
      • SOX
      • GDPR
      • ISO 27001
  • 🦹REAL WORLD && CTF
    • ⚛️Scripts and Systems
      • R: Code Execution
      • Python2 Input Vulnerability
  • 🦸MISCELLANEOUS
    • Decrypt SSL Traffic
    • 🏦OpenSSL Commands
    • 🔒GPG
    • 🔐SSH Commands
    • OWASP BWAPP Setup
    • Commando VM Setup
    • Living Off The Land Applications
    • 🐧Develop Your Own Linux Distro
    • 🐱GitHub Commands
      • 📔Cheatsheet
  • 🧛‍♂️ADVANCED PERSISTENT THREATS - RESEARCH
    • Reconnaissance
    • Resource Development
    • Initial Compromise
    • Execution
    • Establish persistence
    • Escalate privileges
    • Defense Evasion
    • Credential Access
    • Discovery
    • Lateral movement
    • Collection
    • Command and Control
    • Data exfiltration
    • Impact
  • 👾THREAT HUNTING - RESEARCH
    • MacOS
    • Azure Sentinel
    • Network Data
      • Network Data Sources
      • Network Threat Hunting Too
      • Hunting the Undetected
      • Protocols
      • Network Threat Hunts
    • Active Directory
      • Introduction
      • Threat Hunting
      • Threat Hunting in Active Directory
    • Data Collection
      • Internal Data
      • External Data
        • Private Data Sources
        • Community Data Sources
        • Public Data Sources
      • OSINT
    • Data Management and Processing
      • Data Processing
      • Common CTI Standards
      • Storage and Integration
      • Threat Intelligence Platforms
    • Analysis
      • Introduction
      • Analysis of Competing Hypothesis
      • Cyber Kill Chain and Diamond Model
      • Cyber Kill Chain and Courses of Action
    • Campaign Analysis
      • Introduction
      • Heatmap Analysis
      • Visual Analysis
      • MITRE Threat Group Tracker
      • Threat Intelligence Naming Conventions
    • Attribution
      • Introduction
      • Cognitive Biases
      • Logical Fallacies
      • Manage Biases
      • Nation-State Attribution
    • Dissemination and Sharing
      • Introduction
      • Tactical Intelligence
      • Operational Intelligence
      • Strategic Intelligence
  • 🦅CISA - INCIDENT RESPONSE PLAYBOOK
    • Overview
Powered by GitBook
On this page
  • HTTP Protocol
  • HTTP Vs. HTTPS
  • Why HTTP is Still Relevent
  • Key Characteristics to Examine in HTTP Traffic
  • Geographic Information
  • Practical Application
  • HTTPS Protocol
  • HTTPS Overview
  • Challenges with HTTPS in Threat Hunting
  • How to Hunt for Malicious HTTPS Traffic
  • Key Metadata to Analyze
  • Practical Steps
  • SMB Protocol
  • DNS Protocol
  • DNS Overview
  • Types of DNS Records
  • Security Enhancements
  • Hunting for Malicious DNS Activity
  • Practical Application

Was this helpful?

Edit on GitHub
  1. THREAT HUNTING - RESEARCH
  2. Network Data

Protocols

HTTP Protocol

HTTP Vs. HTTPS

  • HTTP (Hypertext Transfer Protocol):

    • An older protocol used for transferring data over the web.

    • Data is sent in plain text, making it readable by anyone who intercepts it.

  • HTTPS (Hypertext Transfer Protocol Secure):

    • An encrypted version of HTTP.

    • Protects data in transit, making it secure from eavesdropping.

Why HTTP is Still Relevent

  • Although most of the internet now uses HTTPS, some servers still use HTTP. These include:

    • Old informational websites.

    • Organizations that can't afford digital certificates.

    • Testing or development servers.

    • Network devices like switches and routers.

Key Characteristics to Examine in HTTP Traffic

  1. User Agent Strings:

    • Part of the HTTP header that provides information about the client's software (e.g., browser, operating system).

    • Hunting Approach: Establish a baseline of common user agents (like Chrome, Firefox) and look for unusual ones (e.g., bots, malware).

  2. URIs (Uniform Resource Identifiers):

    • Strings used to identify resources on a server.

    • Hunting Approach: Look for long, random-looking URIs or those with high entropy (randomness).

  3. HTTP POST Requests:

    • Used to send data to a server (e.g., logging in, submitting forms).

    • Hunting Approach: High volume of POST requests to the same website can indicate data exfiltration or command and control activity.

  4. Host Names:

    • Specifies the domain name or IP address of the web server.

    • Hunting Approach: Look for recently registered domains, suspicious top-level domains (e.g., .tk, .cn), or IP addresses instead of domain names.

Geographic Information

  • GeoIP Information:

    • Identifying the geographic location of web servers.

    • Hunting Approach: Determine if traffic is going to unexpected locations. For example, a dentist's office in Los Angeles seeing traffic to China might be suspicious.

Practical Application

  • Baseline: Establish what is normal in your network (common user agents, typical URIs, regular POST requests).

  • Analyze: Look for deviations from this baseline to identify potential threats.

  • Collaborate: Work with IT to get a list of authorized systems and software to speed up the process.

By focusing on these key areas, you can effectively hunt for malicious activity in HTTP traffic and protect your network from potential threats.

HTTPS Protocol

HTTPS Overview

HTTPS (Hypertext Transfer Protocol Secure):

  • A secure extension of HTTP.

  • Provides an encrypted connection between the client (e.g., web browser) and the web server.

  • Protects data during transit, making it secure from eavesdropping.

Challenges with HTTPS in Threat Hunting

Encryption Limits Visibility:

  • HTTPS hides valuable fields such as User-Agent string, hostname, request method, and the body of the HTTP message.

  • This makes it harder to inspect traffic for threat hunting.

How to Hunt for Malicious HTTPS Traffic

  1. Intercepting HTTPS Traffic:

    • HTTPS traffic can be intercepted and proxied by an IT department or security team.

    • Requires pre-configuration on the network to inspect the content of HTTPS packets.

  2. Analyzing Metadata:

    • Even though the content is encrypted, some metadata can still be analyzed to identify suspicious traffic.

    • Analogy: Think of HTTPS traffic like a discrete package. While the contents are hidden, you can still observe the sender's and recipient's addresses, size, weight, etc.

Key Metadata to Analyze

  1. Server Name Indication (SNI):

    • Part of the TLS handshake where the client specifies the domain name it is trying to reach.

    • Helps identify communication to and from suspicious websites.

    • Example: During a hunt, you can carve out SNIs and use techniques like least frequency of occurrence to identify potentially malicious interactions.

  2. Distinguished Name (DN):

    • Contains values like country, city, state, organization name, issuer, and domain name.

    • Focus on Issuer: Look for free, inexpensive, and untrusted issuers (e.g., Let's Encrypt) as threat actors often use these for malicious purposes.

Practical Steps

Using Tools:

  • Tools like Wireshark or Zeek can help locate the server name and issuer in HTTPS traffic.

By focusing on these aspects, you can effectively hunt for malicious HTTPS traffic despite the encryption, enhancing your network security efforts.

SMB Protocol

  • SMB Protocol Usage: SMB (Server Message Block) is used for sharing files on a network, commonly found in Windows environments. It uses TCP port 445 for communication.

  • Threat Actor Techniques: Threat actors use SMB for running commands, searching for sensitive information, and moving through networks. Notable attacks like NotPetya and the SolarWinds compromise have leveraged SMB.

  • Detection Challenges: Malicious SMB activity often blends in with regular file sharing, making it hard to detect. However, analyzing SMB metadata such as Command and Filename in tools like Wireshark and Zeek can help identify suspicious activities.

By understanding these points, you can better recognize and respond to potential threats using the SMB protocol.

DNS Protocol

DNS Overview

DNS (Domain Name System):

  • Translates human-friendly domain names (like linkedin.com) into machine-readable IP addresses.

  • Functions like a phone book for the internet, allowing users to look up websites by their names.

Types of DNS Records

  • A Records: Contain IPv4 addresses.

  • Quad A Records: Contain IPv6 addresses.

  • CNAME Records: Redirect one domain or subdomain to another.

  • MX Records: Specify where emails should be routed.

  • NS Records: Store the name server for a DNS entry.

  • TXT Records: Contain textual notes.

Security Enhancements

  • DNS over HTTPS (DoH):

    • Introduced in 2017 by the Internet Engineering Task Force (IETF).

    • Encrypts DNS queries to enhance security and privacy.

    • Supported by major web browsers and DNS providers.

Hunting for Malicious DNS Activity

  1. Uncommon Resource Record Types:

    • Look for hosts with a high volume of uncommon record types (e.g., TXT records).

    • Attackers may use these for command and control channels.

  2. Uncommon Top-Level Domains:

    • Hunt for domains with unusual top-level domains (e.g., .XYZ, .iso).

    • These can be used by threat actors to evade detection.

  3. Geographic Indicators:

    • Hunt for top-level domains indicating regions where your organization doesn't usually operate (e.g., .CN, .UK).

  4. High Volume of Subdomains:

    • Look for a high volume of subdomains under a single parent domain.

    • Attackers might use subdomains for data exfiltration or command and control instructions.

  5. Long or High Entropy Domain Names

    • Hunt for very long or unreadable domain names.

    • These could be signs of domain generation algorithms (DGAs).

  6. Newly Registered or Recently Changed Domains:

    • Hunt for domains that are newly registered or have recent ownership changes.

    • These may be associated with malicious activity.

  7. Doppelganger Domains:

  • Look for domains that resemble your own but have slight differences (e.g., LinkedIn without the "i" - "Linkedn.com").

  • These are often used for phishing attacks.

Practical Application

Adjust Network Configurations:

  • For better visibility into DNS queries, you may need to adjust network configurations.

  • It's no longer as simple as capturing packets on your firewall.

By focusing on these aspects, you can effectively hunt for malicious DNS activity and enhance your network security efforts.

PreviousHunting the UndetectedNextNetwork Threat Hunts

Last updated 6 months ago

Was this helpful?

👾