Leaked data from a lawsuit against TikTok. What does this anonymization error teach?

The leaked data from the lawsuit against TikTok shows that visually blurring text does not protect information. Effective document anonymization requires permanently removing data from the file, not covering it up.

Jakub Karonski

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In this article:

Leaked data from lawsuit against TikTok vs. document anonymization

The case against TikTok shows the serious consequences that improper anonymization of documents can have.
In the lawsuit filed in the state of Kentucky, the legal team blurred confidential passages with black boxes, but left the text in the structure of the PDF file.

The reporters selected the hidden area and pasted the content into the editor, and the secret information was revealed.
Internal analyses, management communications and the company’s operational data were released to the public.

There was no hacking attack or breach of IT infrastructure.
The error occurred in the process of editing the document because the team confused masking with permanent deletion of data.

What data was leaked and why did it matter?

The documents were mistakenly anonymized, revealing internal analyses of users’ addictive mechanisms.
The documents contained information about thresholds of intensity of app use and the impact of algorithms on young users’ behavior.

Managers’ communications about the design of features that increase engagement at the expense of well-being were also made public.
The file also included data on the effectiveness of content control mechanisms and internal moderation rates.

This information was crucial, as it showed the discrepancy between public communications and internal analyses.
In addition, the disclosed materials could affect regulatory proceedings, the company’s reputation and future decisions by investors.

In practice, the leak was not about individual data, but about the operational strategy and approach to user security.
Therefore, the consequences were not only reputational, but also legal and business.

What is the difference between blurring and anonymizing documents?

Visual blurring involves adding a graphic layer over existing text in a document.
In contrast, true document anonymization requires permanently removing data from the text layer and the entire file structure.

If the text remains in the file, anyone can recover it by copying or technical analysis.
Therefore, the black rectangle in the PDF does not provide real protection for sensitive data.

Metadata such as author, edit history or comments also remain in many documents.
Failure to remove them violates the principle of data minimization and increases legal risks.

Visual concealment vs. permanent anonymization of documents

Visual blurringPermanent anonymization of documents
Adding a black shape above the textPermanently remove data from the text layer
The text can still be copiedDeleted data cannot be recovered
The metadata remains on fileSystem removes metadata and hidden layers
Lack of control over the processThe system records the history of operations
A semblance of compliance with RODORealistic compliance with the principle of minimization

Why is the leaked data from the lawsuit against TikTok important for companies and institutions?

The TikTok case shows that data leakage can cost millions and undermine an organization’s credibility.
At the same time, it proves that the risk is often due to a flawed process, not the actions of cyber criminals.

Many entities still use basic PDF editors or graphical tools to anonymize documents.
Such solutions create the appearance of security and do not meet the requirements of the regulated environment.

Therefore, organizations should consider document anonymization as part of their information security system. Teams need to implement controlled technology processes instead of manual file operations.

What should professional document anonymization look like?

The professional solution automatically detects sensitive data in documents.
Bluur classifies personal, financial, contact and organizational data.

Among other things, the system recognizes PESEL, NIP, IBAN, e-mail addresses, as well as signatures and stamps.
This reduces the user’s risk of error and speeds up the process of anonymizing documents.

Then the system permanently removes the data from the file, instead of covering it with a graphic layer.
Bluur saves the result of anonymization in the project and records the history of the operation.

The system records the date of anonymization, the user and the processing parameters of the document.
Such an audit trail supports the organization during an audit or legal proceedings.

Infrastructure security vs. document anonymization

Effective document anonymization requires a secure technology infrastructure.
Bluur encrypts data in transmission using TLS 1.3 protocol.

The system hashes user passwords with the SHA-256 algorithm and protects access to accounts.
Each client uses a logically separated database in a cloud environment.

Bluur does not use customer data to train AI models.
The organization maintains full control over information and compliance with the principle of data minimization.

A summary of why proper anonymization of documents matters

Leaked data from a lawsuit against TikTok shows that black boxes in a document do not protect information.
If the text remains in the file structure, any person can retrieve it and reveal it.

Therefore, organizations should implement tools that permanently remove sensitive data from documents.
Professional anonymization of documents reduces legal, financial and reputational risks in the long term.

In a regulated environment, it is not enough to visually hide the content.
The organization must remove data technologically and document the entire process in the history of operations.

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Jakub Karonski

Knowledge

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