[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3jkmdyee8t0h4":3},{"success":4,"breach":5},true,{"_id":6,"name":7,"title":8,"slug":9,"domain":10,"breachDate":11,"addedDate":12,"modifiedDate":13,"contentUpdatedAt":14,"source":15,"sourceUrl":16,"sourceUrls":17,"pwnCount":21,"affectedCount":21,"affectedCountStatus":22,"affectedCountLowerBound":23,"affectedCountUnit":24,"hasEnglishDescription":4,"severity":25,"dataClasses":26,"description":30,"seoTitle":31,"seoTitleEn":32,"seoDescription":31,"seoDescriptionEn":33,"logoUrl":34,"isVerified":4,"isSensitive":4,"isSpamList":35,"isMalware":35,"company":36},"68e3266eda11adda488252c2","Muah.AI","Muah.AI Data Breach","muahai","muah.ai","2024-09-17T00:00:00.000Z","2024-10-08T22:05:01.000Z","2026-03-02T00:56:29.000Z","2026-07-18T23:54:25.188Z","Verified sensitive AI companion platform breach","https:\u002F\u002Fwww.404media.co\u002Fhacked-ai-girlfriend-data-shows-prompts-describing-child-sexual-abuse-2\u002F",[16,18,19,20],"https:\u002F\u002Fcybernews.com\u002Fai-news\u002Fartificial-intelligence-girlfriend-hacked\u002F","https:\u002F\u002Fwww.malwarebytes.com\u002Fblog\u002Fnews\u002F2024\u002F10\u002Fai-girlfriend-site-breached-user-fantasies-stolen","https:\u002F\u002Fwww.linklaters.com\u002Fen\u002Finsights\u002Fblogs\u002Fdigilinks\u002F2024\u002Foctober\u002Fthe-muah-ai-data-breach---extortion-threats-and-cyber-vulnerabilities",1910261,"known",null,"unknown","Critical",[27,28,29],"AI prompts","Email addresses","Sexual fetishes","\u003Cp>Muah.AI data breach is a sensitive data incident that emerged in September 2024 on an adult-oriented AI companion platform and has been confirmed to affect 1,910,261 accounts. The exposed records include email addresses, users' generative AI content requests, and preference statements in the context of sexual interests or fetishes. The password field is not a verified data class for this record; therefore, the risk focuses more on privacy, blackmail, targeted phishing, and personalized social engineering rather than direct password capture.\u003C\u002Fp>\n\u003Ch2>Leaked Data Types and Risks\u003C\u002Fh2>\n\u003Cp>The types of data verified in this record are email addresses, AI prompts, and sexual fetish expressions. An email address is a point of contact that can be associated with a person's real identity; when seen together with sensitive prompt texts, the privacy risk increases sharply. Prompts can carry details about which scenarios, which visual or chat requests, and which personal interests the user employs on the platform. Even if this information alone does not provide a financial account password, it can be valuable for embarrassment, threats, fake support messages, reputation pressure, and social engineering aimed at the workplace. Since some reports mention severe abuse expressions involving minors, the record should be considered sensitive. This detail requires the affected person to act carefully not only regarding security but also in terms of personal safety, psychological pressure, and legal risk.\u003C\u002Fp>\n\u003Ch2>Verified Scope and Boundaries\u003C\u002Fh2>\n\u003Cp>The verified scope is based on the Muah.AI incident dated September 17, 2024, and 1,910,261 accounts. The record was added to the verified breach lists on October 8, 2024, and subsequently monitored under the sensitive breach category. The data fields are limited to email addresses, AI prompts, and sexual fetish expressions. For this record, password, payment card, physical address, phone number, or identification document fields were not verified, so such fields were not included in the list. Although there are different accounts regarding the company's technical setup, access method, or attacker identity, technical claims that cannot be verified in the public record are not included. The purpose is to communicate the verifiable risk surface to the user and indicate action priority without unnecessary exaggeration.\u003C\u002Fp>\n\u003Ch2>User Groups at Risk\u003C\u002Fh2>\n\u003Cp>The users at the highest risk group are those who open a Muah.AI account with a personal email address that can be linked to their real name. Addresses that can be easily matched with work emails, school emails, or social media profiles carry higher reputational and blackmail risk. People who use the platform to produce private content, for role-based chat, or to express personal interests may also become vulnerable to targeted messages. On the corporate side, there is additional social engineering risk for managers, finance teams, system administrators, public officials, and individuals in externally facing roles; an attacker may demand passwords, documents, money transfers, or internal system access by threatening to embarrass the person. Therefore, every matched user should be evaluated not only for technical account security but also for communication security and reputational pressure.\u003C\u002Fp>\n\u003Ch2>Urgent Measures to Be Taken\u003C\u002Fh2>\n\u003Cp>The user who notices a match should first check their critical accounts registered with the same email address. Even if a password leak is not confirmed, care should be taken against fake support, refund, membership cancellation, or data deletion messages coming to the same email. If there are other accounts using the same password with Muah.AI or similar services, these passwords should be changed to unique and long values. Two-factor authentication should be enabled on the email account, recovery addresses and session history should be checked, and unknown sessions should be terminated. If a blackmail or threat message arrives, steps such as paying money, clicking links, downloading additional files, or sharing account information should not be taken. If a corporate email is affected, the security team should be notified, and inbox rules and forwarding settings should be additionally checked.\u003C\u002Fp>\n\u003Ch2>Long-Term Security Strategies\u003C\u002Fh2>\n\u003Cp>This incident highlights the importance of segregating email addresses used on sensitive platforms. Users should use an alias, an email masking service, or a separate account instead of their main email address for private or adult content services. Generating unique passwords for each service with a password manager, standardizing two-factor authentication, and regularly cleaning high-risk services from the account list reduce risk in the long term. From an organizational perspective, such records should be used not to blame the employee but to establish a supportive security process against targeted blackmail and phishing scenarios. Security training should clearly explain data incidents from sensitive services, social engineering examples that start with shame pressure, and correct reporting channels.\u003C\u002Fp>\n\u003Ch2>Record Control and User Action\u003C\u002Fh2>\n\u003Cp>Seeing a Muah.AI match in this record indicates that the person's email address could be present in this sensitive data set; this alone does not constitute an accusation, definitive proof of content creation, or compromise of a password. Nevertheless, the risk should be considered high because when the email address is combined with sensitive prompt texts, it could have personal security and reputational implications. The user should list critical accounts associated with the same email address, remove reused passwords, strengthen two-factor protection, and not respond to threat-related messages. For organizations, the recommended action is to provide employees who see this record with a secure reporting channel, protect account access, and include potential extortion attempts in the incident response process.\u003C\u002Fp>","","Muah.AI Data Breach (1.9 Million Reported Records)","Muah.AI Data Breach. 1.9 Million reported records were reported. Reported data: Ai prompts, Email addresses, Sexual fetishes. Review the scope, risks, and…","\u002Fuploads\u002Flogo\u002Fmuah_ai.webp",false,{"name":7,"sector":37,"country":38,"website":10,"websiteArchiveUrl":31,"websiteStatus":31,"websiteCheckedAt":23},"AI Companion \u002F Adult AI Platform","Global"]