The Rise of Generative Malware

From November 2022, with the birth of ChatGPT, generative AI models gained significant popularity. Code generation also received a new swing with these models. In early 2023, Meta released its first open-source generative model, Llama. Later, in the summer, with the release of Llama 2, open-source generative models caught up with their proprietary counterparts regarding code generation and chat capabilities.

But How Is This Relevant to WordPress Malware?

Hackers and botnet operators constantly seek opportunities to cut costs and increase efficiency. Open-source LLMs can be easily fine-tuned or trained to generate malicious software, just like their benign counterparts. WormGPT serves as a good example of such malicious generative AI services.

Why Is This Scary for Average WordPress Owners?

Most security tools operate with various static signatures (file signatures, code structure signatures, behavior signatures) to find and mitigate malicious software. The prevailing assumption is that attackers won't find it worthwhile to develop and implement new malware. Obfuscation techniques allow hackers to alter the code and even the structure of the malware to some extent, but security tools can deobfuscate these. This leaves only one opening: implementing entirely new code for malware. This is where generative AI assists hackers in creating novel malware. So, you could say that hackers equipped with generative AI are one step ahead of security tools.

How Can You Protect Against AI-Generated Malware?

When the bad guys bring bigger weapons, you need better shields, right? To safeguard your WordPress, Drupal, and Joomla websites in 2024, the only efficient tool is an AI-based malware scanner.

Here at BitNinja, we've utilized AI for years to enhance the digital safety of your websites. We've incorporated AI into both our malware validation pipeline and our spam protection module. But now, we're going a step further. Our newly refactored malware detection engine is supercharged with an AI scanner. This scanner relies on AI models trained on a supercomputer, utilizing 6 petaflops of computing power.

Thanks to our efficient multi-layer cache technology and cloud-based scanning procedures, your server doesn't even need a single GPU to benefit from our AI malware scanner. We handle all the heavy lifting in our cloud data center to analyze files and pinpoint malicious code.

What About Malware Injections?

A popular technique among hackers to evade scanners and threat hunters is to inject malicious code into benign files. The malware remains inactive until a well-crafted query triggers it, granting full access to the hacker. This cunning method is gaining popularity. If you quarantine the file, the website will break. But if you do nothing, the hacker will return. The solution? Clean the files while keeping the original content intact but removing the injected backdoor. AI comes to the rescue here as well. BitNinja's Anti-MalwareGPT can automatically detect injected malware in benign files and effectively clean up the injections.


Up until now, generative AI has provided a competitive advantage. However, the bad guys now face a significant defense shield if you protect your server and the websites hosted on it with BitNinja's AI-based anti-malware.


What is generative AI?
Generative AI refers to artificial intelligence that can generate new content or data that is similar to but not identical to original material. It is capable of creating text, images, and other types of media by learning from existing datasets.

What is generative malware?
The term "generative malware" might refer to new strains of malware created by generative AI systems. This type of malware could potentially alter its code or behavior to avoid detection by traditional security measures.

What is the role of generative AI in cybersecurity?
In cybersecurity, generative AI has been used to create defensive measures, such as detecting patterns of attacks and generating rules or signatures for new types of malware.
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