Millions at Risk: Social Security Number Breach Exposed

Sunday, 18 August 2024, 17:00

Millions are at risk due to a social security number breach from a background check company. Cybersecurity experts warn individuals to take immediate action to protect their identities. Affected users should freeze their credit and set up fraud alerts to minimize the risk. National Public Data, the company involved, confirms the breach and is coordinating with law enforcement to mitigate the fallout.
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Millions at Risk: Social Security Number Breach Exposed

Overview of the Breach

Millions are under threat due to a significant social security number breach that has been confirmed by National Public Data, a background check service. The breach, discovered following a lawsuit filed on August 1st, has potentially compromised personal information such as names, emails, and social security numbers.

Recommended Safety Measures

  • Freeze your credit to prevent unauthorized access.
  • Implement fraud alerts on your files with major credit bureaus.
  • Set up two-factor authentication for added security on your accounts.

Monitoring Your Accounts

Cybersecurity experts recommend vigilant monitoring of your bank accounts. Setting up alerts for any unusual charges, especially those made outside the U.S., is crucial. Users should proactively manage their accounts to avoid potential fraud.

Updating and Following Up

As the situation develops, National Public Data has asserted that they are collaborating with law enforcement to analyze the affected records and will inform those impacted with any significant updates that pertain to their case.

Find Out More

A cybersecurity firm named Pentester has created a database for individuals to check if their personal information has been involved in this breach. Users can search using their name and birth year to ascertain their exposure.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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