Thursday, May 8, 2025
HomeComputer SecurityRussia Ordered Dating App Tinder to Share the Users Private Data Including...

Russia Ordered Dating App Tinder to Share the Users Private Data Including Chat, Audio, Video

Published on

SIEM as a Service

Follow Us on Google News

Famous dating service app Tinder is required to share the user data including messages to Russian Law enforcement and intelligence agencies, according to Russia’s Roskomsvoboda internet rights group.

Tinder is a leading dating app with more than 50 million active users that collects personal information provided by users that include (username, password), as well as additional information (character, lifestyle, interests, photos, videos); or credit card and other financial information.

The registry entry is initiated by the Federal Security Service of Russia and the Russian Communication Sensor Roskomsvoboda puts Tinder into the list which required to share the data to the federal authorities.

- Advertisement - Google News

Roskomnadzor entered the company Match Group, LLC, owner of the Tinder mobile app, into the register of information dissemination organizers on Friday, May 31, 2019.

This action has been taken under the Russian laws 97-FZ and 374-FZ which requires to collect and provide, upon request, the power bodies of the Russian Federation not only all user data but also correspondence, audio, video, and other relevant materials, roskomsvoboda reported.

Russia last year issued an order to ban the Telegram app after it refused to provide the user data as required.

Roskomnadzor, Russia’s communications regulator, said it had added Tinder to its database of compliant escort website after it had “provided the needed information.”

According to Roskomnadzor “The register of organizers of information is compiled by Roskomnadzor together with the bodies carrying out operational investigative activities and state security authorities in accordance with Federal Law No. 149-ФЗ “On Information, Information Technologies and Protection of Information”. “

Tinder says in its policy “We can disclose your information, “if necessary, to a) execute court decisions, such as a court order, subpoena or search warrant, government/law enforcement investigation, or other legal requirements; b) assist in the prevention or detection of crime (in each case, according to the current legislation); or c) to protect the safety of the user.”

You can follow us on LinkedinTwitterFacebook for daily Cybersecurity updates also you can take the Best Cybersecurity courses online to keep yourself updated.

Balaji
Balaji
BALAJI is an Ex-Security Researcher (Threat Research Labs) at Comodo Cybersecurity. Editor-in-Chief & Co-Founder - Cyber Security News & GBHackers On Security.

Latest articles

Top Ransomware Groups Target Financial Sector, 406 Incidents Revealed

Flashpoint analysts have reported that between April 2024 and April 2025, the financial sector...

Agenda Ransomware Group Enhances Tactics with SmokeLoader and NETXLOADER

The Agenda ransomware group, also known as Qilin, has been reported to intensify its...

SpyCloud Analysis Reveals 94% of Fortune 50 Companies Have Employee Data Exposed in Phishing Attacks

SpyCloud, the leading identity threat protection company, today released an analysis of nearly 6...

PoC Tool Released to Detect Servers Affected by Critical Apache Parquet Vulnerability

F5 Labs has released a new proof-of-concept (PoC) tool designed to help organizations detect...

Resilience at Scale

Why Application Security is Non-Negotiable

The resilience of your digital infrastructure directly impacts your ability to scale. And yet, application security remains a critical weak link for most organizations.

Application Security is no longer just a defensive play—it’s the cornerstone of cyber resilience and sustainable growth. In this webinar, Karthik Krishnamoorthy (CTO of Indusface) and Phani Deepak Akella (VP of Marketing – Indusface), will share how AI-powered application security can help organizations build resilience by

Discussion points


Protecting at internet scale using AI and behavioral-based DDoS & bot mitigation.
Autonomously discovering external assets and remediating vulnerabilities within 72 hours, enabling secure, confident scaling.
Ensuring 100% application availability through platforms architected for failure resilience.
Eliminating silos with real-time correlation between attack surface and active threats for rapid, accurate mitigation

More like this

Top Ransomware Groups Target Financial Sector, 406 Incidents Revealed

Flashpoint analysts have reported that between April 2024 and April 2025, the financial sector...

Agenda Ransomware Group Enhances Tactics with SmokeLoader and NETXLOADER

The Agenda ransomware group, also known as Qilin, has been reported to intensify its...

PoC Tool Released to Detect Servers Affected by Critical Apache Parquet Vulnerability

F5 Labs has released a new proof-of-concept (PoC) tool designed to help organizations detect...