Organizations typically focus on monitoring inbound and outbound network traffic via firewalls, yet ignore internal network traffic due to the complexity involved. In the scenario above, a firewall will not protect or alert us.
By running honeypots on our internal network, we are able to detect anomalous events. We gain awareness and insight into our network when network hosts interact with a Raspberry Pi honeypot sensor. Since there isn’t a good reason to interact with it (since it doesn’t do anything), activity on the Raspberry Pi is usually indicative of something roaming around our network and a possible security breach.
“Decoys and deception are really underexploited tools in fundamental computer security,” Juels says. Together with Thomas Ristenpart of the University of Wisconsin, he has developed a new encryption system with a devious streak. It gives encrypted data an additional layer of protection by serving up fake data in response to every incorrect guess of the password or encryption key. If the attacker does eventually guess correctly, the real data should be lost amongst the crowd of spoof data.
At Foursquare, we have a simple, first-principles based method of resolving proposed venue attribute updates. We can gauge each Superuser’s voting accuracy based on their performance on honeypots (proposed updates with known answers which are deliberately inserted into the updates queue). Measuring performance and using these probabilities correctly is the key to how we assign points to a Superuser’s vote.
Let’s make this more concrete with some math.
While honeypots have been used widely by researchers to study the methods of attackers, they can be very useful to defenders as well. Here are five advantages that the digital sandboxes can bring to companies.
Honeypots fill the gap, because attackers have a much more difficult time predicting their use and countering the defenses, Strand says. Because production honeypots are machines that no legitimate user should be accessing, they also have a low false positive rate.
The Pirate Bay logs not only link Prenda to the sharing of their own files on BitTorrent, but also tie them directly to the Sharkmp4 user and the uploads of the actual torrent files.
The IP-address 188.8.131.52 was previously used by someone with access to John Steele’s GoDaddy account and was also used by Sharkmp4 to upload various torrents. Several of the other IP-addresses in the log resolve to the Mullvad VPN and are associated with Prenda-related comments on the previously mentioned anti-copyright troll blogs.
Still not sure where to start? Take a look at the Active Defense Harbinger Distribution (ADHD) project, which is part of the Samurai family of Linux-based LiveCD distributions. ADHD provides a bootable ISO that contains the two previously mentioned tools and many others that are specifically focused on providing early warning detection of attacker activity. Some of those are more geared toward alerting, because, technically, no computers should be communicating with the honeypot so all traffic has the potential to be considered malicious.
The PHP portion included a field for “members” to enter their “secret code” to enter the “private zone,” he explains. “So it’s a good idea to try a SQL injection attack” there, he says of the lure.
“My script had [a] few checks for some patterns, and when a SQL injection attempt was detected, the script [threw the] Java applet, ‘GUI for member zona. Welcome,'” he says. The Java applet then installed a backdoor on the attacker’s Windows machine, he says.
In his research paper (PDF) on the experiment, Sintsov explains it this way: “Obviously, reverse penetration has a number of moral, ethical and legal issues
The HoneyMap shows a real-time visualization of attacks against the Honeynet Project’s sensors deployed around the world. It leverages the internal data sharing protocol hpfeeds as its data source. Read this post to learn about the technical details and frequently asked questions. Before going into explanations, take a look at the map itself: map.honeynet.org!