The use of generative AI is making attacks more efficient, leading to a succession of unauthorized access incidents at companies and leaks of personal information. More than 40 companies have disclosed damage this month, and unauthorized exchanges of member points have also been confirmed.
Amid the growing threat of cyberattacks, there are indications that methods using generative AI are making attacks more efficient. The number of disclosed unauthorized access incidents targeting Japanese companies has surged since the start of this month, reportedly affecting more than 40 companies.
LAC Co., Ltd.'s analysis emphasizes the importance of viewing attacks from a broader perspective, while the country of origin of the criminal group involved remains unidentified.
MisterMax HD disclosed that a third party had gained unauthorized access to the servers for its app and online store, explaining that some of the information it held may have been leaked. The leaked information may include the names, telephone numbers and email addresses of up to approximately 1.74 million members. The company said that credit card information and passwords had not been leaked.
At the information service infoQ, a case was confirmed in which some members' points were exchanged for Amazon gift codes against their wishes following unauthorized access. The incident involved 611 cases, totaling ¥2.8695 million. The operator said it would fully compensate the affected points.
In addition, after a personal information leak was confirmed at the car-sharing service Times Car on the 25th of this month, disclosures of information leaks caused by unauthorized access have continued across industries, including restaurants and securities companies. More than 40 cases have been confirmed in just over one month.