Hackers Steal Claude Sessions to Hijack Paid AI Accounts
Anthropic’s Claude is widely used by consumers and businesses, with paid accounts providing access to larger allocations of AI computing capacity. The attacks do not depend on cracking passwords. Instead, information-stealing malware extracts browser cookies and authenticated sessions, allowing criminals to impersonate victims and potentially bypass both passwords and two-factor authentication. That makes session credentials a valuable target wherever access to costly AI services can be resold or abused.
Anthropic recently warned that several malware families are targeting credentials tied to Claude accounts. Users may first notice that their usage allowance has been depleted unusually quickly, even though an attacker has already taken control and consumed paid AI capacity. The company has not disclosed the number of affected accounts, the financial losses involved or a precise date for the warning. Users are advised to terminate suspicious sessions, sign in again and inspect their devices for malware.
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The history behind this eventClaude AI Accounts Hit by Widespread Unauthorized Charges as Malicious Extensions Steal Tokens
Accounts for Anthropic's Claude AI have recently been targeted by widespread unauthorized charges, primarily because malicious Chrome extensions stole session tokens. The tokens allowed attackers to bypass the login process and charge credit cards linked to the accounts. The incidents affected users in Taiwan, Canada and the United States, highlighting risks involving browser extensions and payment security.
As of July 20, 2026, reports had not disclosed the exact date of the incidents or the number of victims. Some victims had lost more than NT$10,000, while certain accounts were charged repeatedly. Because Anthropic's payment interface does not allow users to remove credit cards directly and responses from human customer support have been slow, users have had to disable suspicious extensions and contact their banks to dispute the charges and limit their losses.
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