A report: Amazon phishing attacks could be worse than previously thought

AUSTIN — Amazon.com Inc. has begun phishing mailings to Amazon Prime members, and the company is testing automated responses to make it harder for hackers to impersonate users, a U.S. law enforcement official told The Associated Press on Friday.

Amazon has not yet disclosed the number of victims or the extent of the attacks, which began at the end of May and have caused significant damage to its reputation and reputation among its customers.

Amazon said Friday it has not received any reports of malicious activity targeting Prime members.

The official spoke on condition of anonymity to discuss an ongoing investigation.

Amazon also has not identified the companies targeted by the attacks.

The AP first reported on the attacks in June.

In the weeks since, the company has begun deploying automated response systems that automatically block suspicious messages and block users who do not follow the terms of the invitation, according to Amazon’s public security team.

A spokeswoman said in an email that Amazon has found that some users were being phished by phishing emails sent by a botnet that originated in China.

The emails sent to customers were spoofed to appear to be from Amazon and its affiliates.

The automated systems also block suspicious emails sent from outside the United States.

It is not clear what type of malware is being used in the attack.

The Amazon spokeswoman said Amazon was working to improve the automated systems so they can detect and block phishing attempts.

Amazon began testing the automated response system in July.

She declined to provide a timeline for how long the automated system would be in place.

The company is also testing a “botnet detection system” that would automatically block malicious emails sent as well as fake or spoofed emails sent through third-party accounts, the spokeswoman said.

Amazon declined to comment on the number or scope of the phishing efforts.

The spokesman said the company was testing automated systems to help it better identify and block any malicious emails that may be sent.

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