Star Well being Says It Acquired $68,000 Ransom Demand After Knowledge Leak

Star Well being, India’s largest well being insurer, on Saturday mentioned it had acquired a ransom demand of $68,000 from a cyberhacker in reference to a leak of buyer information and medical data.

Star, which has a roughly $4 billion market cap, is battling a reputational and enterprise disaster since Reuters reported on Sept. 20 {that a} hacker had used Telegram chatbots and a web site to leak clients’ delicate information, together with tax particulars and medical declare papers.

The corporate, whose shares have declined 11%, has launched inner investigations and has taken authorized motion in opposition to Telegram and the hacker, whose web site continues to share samples of Star clients’ information.

Star, which has beforehand mentioned it’s a “sufferer of a focused malicious cyberattack”, on Saturday revealed for the primary time that in August “the risk actor demanded a ransom of $68,000 in an e-mail” addressed to the corporate’s managing director and its chief govt.

The assertion got here after Indian shares exchanges sought clarifications from Star on a Friday over a Reuters report that the corporate was investigating allegations that its chief safety officer was concerned within the information leak.

Star reiterated on Saturday it has discovered no wrongdoing by the official, Amarjeet Khanuja, although the interior investigation is ongoing.

Telegram has declined to share the account particulars or completely ban accounts linked to the hacker – a person dubbed xenZen – “regardless of a number of notices issued on this regard,” Star mentioned on Saturday.

Star mentioned it has “sought the help” of Indian cyber safety authorities to “assist us establish” the hacker.

Telegram didn’t reply to a request for remark.

The Dubai-based messenger app has beforehand mentioned it eliminated the chatbots when Reuters flagged them to the platform.

© Thomson Reuters 2024

(This story has not been edited by NDTV workers and is auto-generated from a syndicated feed.)

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