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AkiraBot Reportedly Used OpenAI to Spam Website Chats and Contact Forms at Scale

4 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Unknown Akirabot Developers and Openai and deployed by Unknown Malicious Actors and Unknown Akirabot Operators allegedly harmed Wix Sites, Victims Of Akirabot and 8 others.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
4 reportsApr 2025

What happened

SentinelLabs reported that unknown operators used AkiraBot, a Python framework, plus OpenAI's chat API to generate customized SEO spam and bypass CAPTCHAs, posting via SMB websites' contact forms and Reamaze-style chat widgets. Researchers assessed >400k domains were targeted and ≥80k successfully spammed since 09/01/2024. OpenAI said the API key was disabled after disclosure.

Laws that address this harm

Policy angle: Classified under Malicious Actors & Misuse (Fraud, scams, and targeted manipulation) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (4)

Titles link to the original publisher; report text is not reproduced here.

  1. AkiraBot | AI-Powered Bot Bypasses CAPTCHAs, Spams Websites At Scale
    sentinelone.com · Alex Delamotte, Jim Walter
  2. AkiraBot Targets 420,000 Sites with OpenAI-Generated Spam, Bypassing CAPTCHA Protections
    thehackernews.com · Ravie Lakshmanan
  3. ‘AkiraBot’ Spammed 80,000 Websites With AI-Generated Messages
    securityweek.com · Ionut Arghire
  4. Scammers Use OpenAI API to Flood 80,000 Websites With Spam
    pcmag.com · Will McCurdy

Who was involved

Alleged harmed party
Wix Sites, Victims Of Akirabot, Squarespace Sites, Small Business Owners, Shopify Sites, Medium Sized Business Owners, Godaddy Sites, Customers, Business Website Users, Business Owners

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
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Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Misinformation and Manipulation

    "Recent studies have demonstrated that LLMs can be exploited to craft deceptive narratives with levels of persuasiveness similar to human-generated content (Pan et al., 2023b; Spitale et al., 2023), to fabri- cate fake n...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1365 on the AI Incident Database · all 4 reports