Are you sure that the logs created by your applications actually provide you what you really need and help you solve security related incidents?
Did you know, that tools for log viewing can be fooled and even attacked regardless of their type (command-line, text-based, web-based)?
This training is based on the most frequently occurring security issues in logging implementations and solutions that Clarified Security team has encountered over years of application penetration testing and other related experiences when working with logs.
Some of the issues we tend to often see can be exploited for log evasion, tampering logs integrity and attacking log viewers. During the training all of the attacks are explained in theory and then immediately practiced in our hands-on lab environment. Naturally, relevant defense methods are also explained.
Hands-on labs are based on web application and server logs, but the concepts can be applied much wider to the overall topic of working with logs.
- Log evasion – techniques how to avoid being logged. This includes HTTP parameter pollution, relocating parameters in HTTP request and hiding attack payloads using XSS.
- Attacking text- and web-based log viewers using XSS, special UTF characters, field and entry separators, bi-directional text.
- Attacking command-line log viewers using special characters and terminal injection.
- Log tampering using log injection.
- Faking IP-addresses in log files by using special headers in queries.
- Various topics about what to log, when to log, what are the mandatory fields in log files, etc.
- For each attack vector possible defense methods are also introduced.
Target audience: developers, administrators, testers, security incident handlers and anyone else who has to deal with log related issues
Learning method: Practical, lecture, hands-on-lab
The main outcome is to help trainees understand different possible attacks that can be conducted towards logs or by using logs; how to defend themselves against such threats and also the importance of logging certain data, so that resulting logs would be most beneficial when solving possible security incidents.
More information from here.