By avoiding CAPTCHA Protections, AkiraBot targets 420, 000 websites with OpenAI-Generated email.

April 10, 2025Ravie LakshmananWebsite Security / Cybercrime

AkiraBot, a platform powered by artificial intelligence ( AI), is being used to spam website chats, comment sections, and contact forms to dubious search engine optimization ( SEO ) services like Akira and ServicewrapGO, according to cybersecurity researchers.

According to SentinelOne experts Alex Delamotte and Jim Walter, “AkiraBot has targeted more than 400, 000 platforms and properly spammed at least 80, 000 blogs since September 2024.” ” The bot uses OpenAI to create custom referral information based on the website’s goals.”

Contact forms and chat widgets used in small to medium-sized business websites are the target of the activity, and the framework also shares spam created using OpenAI’s large language models ( LLMs) with the framework. The ability to create content that can bypass spam filters is what sets the” sprawling” Python-based tool apart from other applications.

The large communications feature, which is thought to have been in use since at least September 2024, was first introduced under the name” Shopbot” in what appears to be a guide to websites that use Shopify.

AkiraBot’s target audience has grown over time to include websites created with GoDaddy, Wix, and Squarespace as well as those created with Reamaze-created universal call forms and sit chat plugins.

Utilizing the OpenAI API makes the process’s core, which is to produce spam content, easier. The tool also provides a graphical user interface ( GUI) that allows you to choose the list of websites to target and set aside how many of them to be targeted simultaneously.

By processing a model that contains a general idea of the message type the bot should send, Akihabiti creates custom spam messages for precise websites, according to the researchers. The OpenAI chat API receives a quick to create a customized mentoring message based on the website’s contents, according to the template.

The OpenAI customer is tasked with the responsibility of a “helpful associate that generates marketing information,” according to an analysis of the origin code.

Another significant feature of the company is that it can get around CAPTCHA barriers to phishing sites at scale and evade network-based sightings by relying on a proxy service that’s usually offered to advertisers. HCAPTCHA, reCAPTCHA, and Cloudflare Turnstile are the CAPTCHA solutions that are targeted.

The bot uses various SmartProxy substitute hosts to conceal the source of the traffic, in order to accomplish this, mimicking a reasonable end user is used in the bot’s web traffic.

AkiraBot’s activity files are also set up in a” submissions” file. spreadsheet file that records both successful and unsuccessful phishing attempts. More than 420, 000 unique domains have been targeted to date, according to an investigation of these files. Additionally, via an API, achievements metrics for CAPTCHA bypass and substitute rotation are gathered and posted to a Telegram channel.

In response to the results, OpenAI has turned off the threat actors ‘ use of the API key and related goods.

The researchers claimed that the author or authors have put a lot of effort into this bot’s potential to bypass frequently used CAPTCHA technology, which demonstrates that the technicians are motivated to offend service provider protections. The use of LLM-generated email message content by AkitabBot demonstrates the emerging issues that AI faces in defending websites against spam attacks.

The growth coincides with the release of a crime device, known as Xanthorox AI, which is intended to be used as an all-in-one chatbot to generate code, malware, exploit vulnerabilities, and analyze data. Additionally, the system supports sequential voice messaging and real-time voice calls for voice-based interaction.

According to SlashNext,” Xanthorox AI is powered by five different models, each designed for various administrative things.” Instead of being deployed over common cloud infrastructure or through exposed APIs, these models run completely on nearby servers owned by the vendor. The chances of recognition, stoppage, or traceability are significantly reduced by this local-first strategy.

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