Mass CCTV hack in India exposes maternity ward videos sold on Telegram

Police in Gujarat have uncovered an extensive cybercrime network selling hacked CCTV footage from hospitals, schools, offices and private homes across India.

The case surfaced after local media spotted YouTube videos showing women in a maternity ward during exams and injections, with links directing viewers to Telegram channels selling longer clips. The hospital involved said cameras were installed to protect staff from false allegations.

Investigators say hackers accessed footage from an estimated 50,000 CCTV systems nationwide and sold videos for 800–2,000 rupees, with some Telegram channels offering live feeds by subscription.

Arrests since February span Maharashtra, Uttar Pradesh, Gujarat, Delhi and Uttarakhand. Police have charged suspects under laws covering privacy violations, publication of obscene material, voyeurism and cyberterrorism.

Experts say weak security practices make Indian CCTV systems easy targets. Many devices run on default passwords such as Admin123. Hackers used brute-force tools to break into networks, according to investigators. Cybercrime specialists advise users to change their IP addresses and passwords, run periodic audits, and secure both home and office networks.

The case highlights the widespread use of CCTV in India, as cameras are prevalent in both public and private spaces, often installed without consent or proper safeguards. Rights advocates say women face added stigma when sensitive footage is leaked, which discourages complaints.

Police said no patients or hospitals filed a report in this case due to fear of exposure, so an officer submitted the complaint.

Last year, the government urged states to avoid suppliers linked to past data breaches and introduced new rules to raise security standards, but breaches remain common.

Investigators say this latest case demonstrates how easily insecure systems can be exploited and how sensitive footage can spread online, resulting in severe consequences for victims.

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