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Media and Publishing

The Name Is the Asset in Media and Publishing.

News organizations, publishers and broadcasters trade on trust in a name. A lookalike site carrying fabricated stories, a fake subscription page or a spoofed journal borrows that trust at no cost.

The Deepinfo Platform watches for domains that imitate your mastheads, follows the leaked credentials of the people you flag and keeps all your microsites in one inventory.

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The Exposures Behind Every Masthead.

The name

Worth Imitating

Lookalike outlets, fake subscription and login pages, and predatory journals that copy real titles. Each borrows credibility the original spent years building.

The people

Public by Profession

Journalists, editors and executives work under their own names in public. Their accounts and passwords turn up in breach data and infostealer logs.

The sprawl

Microsites That Never Retire

Titles, shows and campaigns each get a site, and acquired titles bring their own. Few of them are ever switched off.

Find the Lookalike Outlet by Its Address.

Brand Risk Protection matches newly seen domains against your mastheads and titles, down to swapped-in letters from other alphabets. Each suspicious domain stays under watch across DNS, mail, certificate and HTTP, so your team sees when a parked name becomes a live site. Below, one name and what each match type catches.

  1. news.example

    Your keyword

    Each rule pairs it with one match type

  2. news.test

    Same name · exact

    The name itself, on another TLD

  3. news-login.example

    Name inside · contains

    The name inside a longer label

  4. nevvs.example

    Typo · fuzzy

    One edit away: a dropped, doubled, swapped or mistyped letter

  5. nesw-verify.example

    Typo inside · fuzzy_contains

    A typo inside a longer label

  6. ոews.example

    resolves as xn--ews-nfe.example

    Lookalike letters · confusable_exact

    Letters swapped for ones that look identical

  7. ոews-login.example

    resolves as xn--ews-login-pnk.example

    Lookalike letters inside · confusable_contains

    Lookalike letters inside a longer label

  8. nеsw.example

    resolves as xn--nsw-rdd.example

    Lookalike and typo · confusable_fuzzy

    A typo and a lookalike letter together

  9. secure-nеsw.example

    resolves as xn--secure-nsw-rsi.example

    Lookalike and typo inside · confusable_fuzzy_contains

    Both, inside a longer label

Managed Takedown

Put the Newsroom’s Exposure on One List.

Executive Threat Monitoring points what Cyber Threat Intelligence collects at the people you flag. In a newsroom, that list usually includes editors and reporters as well as executives.

  1. 01

    Find

    Cyber Threat Intelligence lists the accounts on your domains found in breaches and leaked credential data.

  2. 02

    Flag

    Mark the editors, reporters and executives among them, so their exposure becomes its own list.

  3. 03

    Filter

    Filter by the flag, by title or by department, and read it next to dark web mentions of the names you monitor.

  4. 04

    Close

    Work each leaked credential to a recorded state: resolved, risk accepted, ignored or false positive.

Workflows for a Newsroom.

Brand Impersonation Protection

Mastheads and titles watched together.

Use case

Phishing Detection and Prevention

Fake subscription, login and payment domains caught when they first appear.

Use case

Executive Threat Protection

The exposure of editors, reporters and executives, followed as its own list.

Use case

Managed Takedown Services

Removal requests filed with registrars and hosts, with the evidence attached.

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Attack Surface Management

Each title’s microsite, and the infrastructure acquired titles bring, in one inventory.

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Domain Intelligence and Research

Networks of fake outlets traced through shared IP addresses, name servers and same-time registrations.

Use case

Incident Investigation and Response

The infrastructure behind a campaign, traced through the index while it is running.

Use case

Third-Party Risk Management

Distribution, streaming and advertising partners scored with the model used for your surface.

Use case

From Journal Microsites to Newsrooms.

Customer story An academic publisher Brand integrity and content infrastructure across thousands of journal microsites built up over decades. Read Industry Retail and e-commerce Another sector where the brand is what gets copied. Read Industry Education Decentralized infrastructure, research and open networks. Read

The Data Is Yours to Use Too

The index under the platform is also sold as data. Teams that build their own tooling query it through the API or take it as bulk feeds, and Internet Insights shows what it sees each day.

Questions About Deepinfo in Media and Publishing

Can the platform find fake versions of our outlet?

Brand Risk Protection finds the domains behind them. It matches newly seen domains against your mastheads and titles, watches each suspicious one across DNS, mail, certificate and HTTP, and sends confirmed ones to Managed Takedown.

Can rules find fake outlets that already exist?

Yes. Turn on include_past and a new rule also runs against domains registered before it existed, so the first review covers lookalikes registered before you started.

How do we keep our own titles out of the results?

List their domains as ignored domains in the brand protection settings. A name on that list is never reported, whichever rule matches it.

Can we cover journalists, not only executives?

Yes. Any account on your domains can carry the flag, so editors and reporters are followed alongside executives, with their breached accounts and leaked credentials as a list of their own.

Can we trace a network of fake outlets?

Start from one known fake domain. Deep Search & Insights finds the domains that share its IP address, name servers or mail servers, and the ones the same registrant registered within minutes of it. Each pivot is a single query against the index.

See Who’s Publishing Under Your Name.

Book a demo scoped to your mastheads and titles.

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