Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure.
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Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure.
Course 6 - Network Traffic Analysis for Incident Response | Episode 7: Network Data Analysis Toolkit: Tools, Techniques and Threat Signature
CyberCode Academy
12 minutes
6 days ago
Course 6 - Network Traffic Analysis for Incident Response | Episode 7: Network Data Analysis Toolkit: Tools, Techniques and Threat Signature
In this lesson, you’ll learn about: The complete toolkit and techniques for analyzing network traffic using Connection Analysis, Statistical Analysis, and Event-Based (signature-focused) Analysis. 1. Data Analysis Toolkit General-Purpose Tools These are foundational command-line utilities used to search, filter, and reshape data:
grep → pattern searching
awk → field extraction and manipulation
cut → selecting specific columns Used together, they form powerful pipelines for rapid, custom analysis.
Scripting Languages Python
Most important language for packet analysis.
Scapy allows:
Parsing PCAPs
Inspecting packet structure
Accessing fields (IP, ports)
Filtering traffic (e.g., HTTP GET requests)
Deobfuscating malware traffic
Example: Extracting useful strings from compressed Ghostrat C2 payloads.
R
Useful for statistical modeling and clustering of network data.
2. The Three Core Data Analysis Techniques A. Connection Analysis Purpose: High-level visibility into which systems are connecting to which. Ideal for:
Detecting unauthorized servers or suspicious programs
Spotting lateral movement (e.g., odd SSH usage)
Identifying database misuse
Ensuring compliance across security zones
Primary Tool: Netstat
Shows all active connections + states (LISTENING, ESTABLISHED, TIME_WAIT, etc.)
Example Uses:
Spotting malware opening a hidden port
Identifying unauthorized remote access
Finding systems connecting to suspicious IPs
B. Statistical Analysis A macro-level technique designed to spot deviations from normal behavior. Techniques: 1. Clustering Group similar traffic together to identify families or variants.
Demonstrated by clustering Ghostrat variants through similarities in their C2 protocol.
2. Stack Counting Sort traffic by count of activity on:
Destination ports
Host connections
Packet types
Used to find anomalies:
Single visits to rare ports (2266, 3333)
Unexpected FTP traffic (port 21)
3. Wireshark Statistics Using built-in metrics:
Packet lengths (large packets → possible exfiltration or malware downloads)
Endpoints
Protocol hierarchy
Specialized Tool: Silk
Designed for massive enterprise networks
Supports both command line & Python (Pysilk)
Ideal for flow-level analysis, anomaly detection, and trend discovery.
C. Event-Based Analysis (Signature Focused) A micro-level technique used to identify known threats via rules and signatures. 1. Yara Signatures
Rules match known binary or text patterns.
Example uses:
Detecting Ghostrat via identifying strings like "lurk zero" or "v2010"
Multi-string matching to detect multi-stage malware
Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure.
