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Claude Account Bans Linked to IP Reputation, Device Environment and Payment Channels, But No Confirmed Formula

Discussions on the Chinese forum NodeSeek have highlighted observations from a user who reported bans on more than twenty paid Claude accounts. The user identified IP address reputation, device environment traces, and payment processor history as the main factors potentially triggering blocks by Anthropic. However, the original post does not present a unified scoring system or prove specific penalties for using Linux, browser-only access, or the Fable model. High query volume is described mainly as a rate-limit issue rather than an automatic account ban trigger. Community members remain divided, with some confirming isolated observations while others label the conclusions speculative and share contradictory experiences. No universal method to avoid blocks has emerged from the discussion.

AntiMalwareTranslated from Russian

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Users on the Chinese forum NodeSeek are actively discussing the reasons behind repeated Claude account bans issued by Anthropic. A detailed guide author claims to have experienced bans across more than twenty paid accounts and has compiled observations about the company's detection mechanisms.

The main factors highlighted include the reputation of IP addresses, the device environment, and the payment channels used. According to the author, problems often arise from IPs previously associated with abuse, traces left by previously blocked accounts on the same device, and payment intermediaries that have histories of fraud or chargebacks.

Importantly, the original post does not provide a single unified trust-scoring formula. It does not prove automatic penalties for using Linux, accessing the service only through a browser, or working with the Fable model. High request volumes are linked primarily to rate limiting rather than immediate account termination.

Even within the forum thread, opinions differ. Some participants confirm parts of the observations, while others describe the conclusions as guesswork and share opposing experiences. As a result, the community continues to collect hypotheses without having identified a reliable way to prevent blocks.

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