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Effective Python Penetration Testing

You're reading from   Effective Python Penetration Testing Pen test your system like a pro and overcome vulnerabilities by leveraging Python scripts, libraries, and tools

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785280696
Length 164 pages
Edition 1st Edition
Languages
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Author (1):
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Rejah Rehim Rejah Rehim
Author Profile Icon Rejah Rehim
Rejah Rehim
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Toc

Table of Contents (11) Chapters Close

Preface 1. Python Scripting Essentials FREE CHAPTER 2. Analyzing Network Traffic with Scapy 3. Application Fingerprinting with Python 4. Attack Scripting with Python 5. Fuzzing and Brute-Forcing 6. Debugging and Reverse Engineering 7. Crypto, Hash, and Conversion Functions 8. Keylogging and Screen Grabbing 9. Attack Automation 10. Looking Forward

OS fingerprinting

A common process in pentesting is to identify the operating system used by the host. Usually, this involves tools like hping or Nmap, and in most cases these tools are quite aggressive to obtain such information and may generate alarms on the target host. OS fingerprinting mainly falls into two categories: active OS fingerprinting and passive OS fingerprinting.

Active fingerprinting is the method of sending packets to a remote host and analyzing corresponding responses. In passive fingerprinting, it analyzes packets from a host, so it does not send any traffic to the host and acts as a sniffer. In passive fingerprinting, it sniffs TCP/IP ports, so it avoids detection or being stopped by a firewall. Passive fingerprinting determines the target OS by analyzing the initial Time to Live (TTL) in IP headers packets, and with the TCP window size in the first packet of a TCP session. The first packet of TCP session is usually either a SYN (synchronize) or SYN/ACK (synchronize...

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