Warning: Anthropic "Gift Max" Exploit cost me €800, tanked my SCHUFA score, and got me banned.

· Source: Artificial Intelligence · Field: Technology & Digital — Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, long

Summary

An Anthropic user, a data science student in Germany, reported unauthorized charges exceeding €800 on April 27th for "Gift Max" purchases, despite having 2FA active and 3-D Secure unauthorized. This incident, which led to failed payments for essential services and a damaged SCHUFA credit score, is attributed to a systemic flaw in Anthropic's gift-billing pipeline, evidenced by GitHub issues #51404, #51168, #41499, and #47290. Anthropic's status page also noted "Elevated billing errors and unauthorized subscription changes" on the same day. After reporting the fraud with a police report, Anthropic banned the user's account, denying access to projects and data, and issued no refund. The user's bank has since issued a reclamation, returning the funds and initiating direct engagement with Anthropic's merchant account.

Key takeaway

For data science professionals and AI/ML directors evaluating vendor security, this incident highlights critical vulnerabilities in Anthropic's billing and customer support. You should scrutinize vendor security practices beyond marketing claims, especially regarding payment processing and data access. Be prepared to pursue legal and regulatory avenues, such as GDPR requests and chargebacks, if your organization faces similar systemic failures, as direct vendor support may be inadequate or even punitive.

Key insights

Anthropic's billing system has a systemic flaw allowing "Gift Max" fraud, leading to unauthorized charges and account bans for victims.

Principles

Method

To address unauthorized charges in Germany: file a police report, issue a GDPR Subject Access Request, reverse charges via bank, contact utility providers, and obtain a "Beratungshilfeschein" for legal aid.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Legal Professional, Software Engineer, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.