Cybercriminals Complain About AI Content Flooding Their Forums

Cybercriminals have run into the same problem that has been plaguing the rest of the internet for several months: a flood of AI-generated content on their platforms and forums.

How AI "clogs" the underground

On the forums and dark web sites where hackers and other cybercriminals discuss hacking methods, tools and strategies, content produced by neural networks has begun appearing in large volumes. Its quality often leaves much to be desired: the AI writes posts full of errors, inaccuracies and outdated information, and sometimes simply hallucinates details that never existed. Cybercriminals complain that this keeps them from finding genuinely useful discussions and valuable advice from experienced members.

The problem has intensified in recent months as content-generation tools became easier to access. Now anyone can create dozens of forum posts in a few minutes, and many apparently do exactly that.

Why this irritates hackers

In underground communities, information is critical. When a hacker looks for a new way to exploit a vulnerability or a recommendation for a tool, they need accurate, proven information that can be tested in practice. AI content, which often contains errors, outdated recommendations or simply invented "facts", creates serious "noise" in discussions. Cybercriminals are forced to spend precious time filtering out useless posts to find real advice and proven methods from experienced hackers with a reputation.

This is especially annoying because reputation in underground communities is built over years, and AI content dilutes all of it. The problem is particularly acute on well-known dark web forums, where the volume of posts is growing but the quality of discussion is clearly falling.

Problems and consequences

• Lower discussion quality because of low-quality AI content
• More time needed for experienced hackers to find useful information
• Valuable advice diluted by automatically generated posts
• Difficulty telling real experience from machine-generated text
• Possible drop in activity among experienced users irritated by the noise

What this means

The AI spam problem has now reached even the most closed and specialized corners of the internet. It shows that neural networks affect the information space practically everywhere, regardless of whether a platform is legal.

For cybercriminals, this means they urgently need new ways to filter content and verify information, possibly by moving to private channels that require identity confirmation. For security as a whole, this may even turn out to be a useful side effect: cybercriminals will have to rely more on trusted personal connections and recommendations from trusted sources.