Since the release of HornetPoints with the newest version of HoneyPoint Security Server, I have been getting a lot of mail asking about “defensive fuzzing”. I thought I would take a moment and talk a little bit about it and explain a bit about its uses.
Defensive fuzzing is a patent-pending approach to network, system and application defense. It is based on the idea of using techniques from “fuzz testing”, but applying them against incoming connections in a defensive manner rather than as a test mechanism for known software. The idea is that attacker tools and malware probably fail to meet established best practices for software development and thus, are likely to have issues with unexpected input just as normal professionally developed software does. Further, “defensive fuzzing” lends itself to using fuzzing techniques as a protective mechanism to cause attacker tools, malware and other illicit code to abnormally terminate. Basically, by fuzzing incoming connections to a HornetPoint (which should have no real world use, thus all incoming connections are illicit) we can terminate scans, probes, exploits, worms, etc. and reduce the risk that our organization (and other organizations) face from these attacks.
For those of you who might not be familiar with fuzzing, you can read more about the basics of it here. However, keep in mind, that defensive fuzzing applies these techniques in new ways and for a protective purpose rather than a software testing process.
HornetPoints simply embody this process. They can be configured to fuzz many types of existing connections, emulating varying protocols and applications. For example, targeting spam and relay scanners can be done by implementing the SMTP HornetPoint. It listens on the SMTP port and appears to be a valid email relay. Instead, however, it not only captures the source and traffic from the spammers, but also fuzzes the connection as the spam is sent, attempting to terminate the spammer scanning tool, bot-net client or other form of malware that is generating the traffic. Obviously, success rates vary, but our testing has shown the process to be quite effective against a number of tools and code bases used by attackers today.
That is just one example and many more are possible. For more information about defensive fuzzing or HornetPoints, please leave us a comment or contact us. We would be happy to discuss this evolution in security with you!