Honeypot baits Hacker

stinky stick

# 🕷️ Honeypot Baits Hacker
## Trap the Intruder · Learn the Method · Protect the Core

Cyberattackers leave traces.
We collect them — silently, precisely, and without noise.
Our honeypots are not just traps.
They are mirrors of intent.

How It Can Trap Cyberattackers?

Published 2024/03/27 at 4:06 pm
We gathering information about threat actors
Other monitoring systems cannot give you such clear information about the attackers. Even when you have an EDR system that records each little action, the notes will surely be confused with the actions of regular users. Meanwhile, honeypots face you tet-e-tet with what attackers try to do in your system – without excessive noise. We would like to briefly explain what we do and what we have prepared.

Extended detection range
Security solutions – both EDR and regular antiviruses – rely on the protection from external threats. They are physically unable to detect or counteract the insider threat – meanwhile, it is considered one of the most dangerous threat types. On the other hand, Honeypots can attract the internal intruder and compromise it.

Database Honeypot (database decoy)
Database decoy supposes the use of several exposed databases. Usually, such a lure contains several exploitable elements that attract cybercriminals. The data inside, however, has no value – it may be the 10-years-old report about toilet paper shopping. Sometimes, these databases repeat the structure of the currently used in the company. Such a step is done to use the hackers as a red team without their willingness. Crooks reveal the vulnerabilities and exploitation techniques, which are then diligently acquired by system administrators. It’s a perfect way to secure the existing breaches and create a counteraction to the approaches used by crooks.

Malware Honeypot
This trap type sounds strange, but it has properties close to the database decoys. Malware honeypots are the lures that imitate the bunch of apps, or the API, to bait the crooks to act as they would in a regular environment. In that way, cybersecurity analysts can collect the data on the potential attack vectors, including the used vulnerabilities and connection ways. That gives the company the chance to get ready for the possible attack – set up the security solution, prepare the internal environment, and so on.

High-interaction Honeypot
High-interaction honeypots suppose that the trap will have a lot of elements to interact with. The more things crooks will touch – the more paths they will leave, giving the company more information about what they need to be ready for. Such honeypots usually imitate a bunch of databases or even the internal network cluster – the target size will surely attract the crooks. If everything is set up properly, a high-interaction trap will be almost impossible to uncover. However, it has several disadvantages that must be considered – such a large honeypot will require the corresponding amount of computing power/server space. Moreover, the complexity of such a structure creates a significant risk of compromising – crooks can move further from the honeypot to a genuine network.

Low-interaction Honeypot
Unlike the previous type by complexity, low-interaction traps contain fewer elements to attract the hacker’s attention. Meanwhile, they are easier to configure and maintain and have fewer penetration risks. Nonetheless, it is not a great way of reconnaissance – hackers cannot leave a lot of paths in this type of honeypot. But it is still enough for having some kind of alarm about the attack attempt.

Banning Hackers
All negative results from the analysis of our log files inevitably lead to a complete exclusion of the IP range, whereby we analyse which proxy or Tor gateway was used for the exclusion in order to initiate further appropriate measures. It would be very nice if the real people in question would stop wasting their talent and just leave us alone. Many thanks in advance.

### ⚖️ Legal & Ethics

We do not provoke.
We observe.
We protect.

[Impressum](https://big-match.it/impressum) · [Datenschutz](https://big-match.it/datenschutz)
© 2025 Manfred Kremser · BIG MATCH IT UG · Karlsruhe

PHP Code Snippets Powered By : XYZScripts.com
Coinjumper AI
Datenschutz-Übersicht

Diese Website verwendet Cookies, damit wir dir die bestmögliche Benutzererfahrung bieten können. Cookie-Informationen werden in deinem Browser gespeichert und führen Funktionen aus, wie das Wiedererkennen von dir, wenn du auf unsere Website zurückkehrst, und hilft unserem Team zu verstehen, welche Abschnitte der Website für dich am interessantesten und nützlichsten sind.