LeakData turns riskinto evidence

When LeakData finds a match, it does not show it as an alert immediately. The source, freshness, account relationship, and needed action are checked first, so the panel explains both what happened and what to do next.

Try account check Review password check

4: control modules
3x: source and match checks
1: action-focused result

What happens before a finding becomes an alert?

Before a finding appears in the panel, it passes through source signal, match check, risk weighting, and action steps.

Source signal

Open web, breach indexes, forum records, and social traces are monitored as separate source types.

Raw signal

Match check

The record is tied to the user asset; date, domain, and data-class consistency are reviewed.

Validation

Risk weight

Password, session cookie, financial data, or personal-info impact changes the priority.

Priority

Action

The result is shown with the next steps and panel links, not just an alert label.

Resolution

Each module produces a different output

Password, account, social media, and digital hygiene checks appear in the panel as distinct result types.

Password Security

Exposed password sources are queried without storing the full password directly; the goal is to stop unsafe password reuse.

Password queryPrivate

Hash prefix matched

The full password is not sent to the server
Matching is completed in the browser
The result links to password-change action

Panel action: Change passwords on accounts using this password.

Account Security

Email, username, and domain signals are matched against breach records; suspicious records are not raised as critical risk before validation.

Breach recordHigh risk

Seen in 2 sources

Platform and breach date are shown together
Data classes affect the risk weight
Affected accounts are prioritized

Panel action: Identify the affected service and apply the first security step.

Digital Hygiene

Personal-data visibility across the open web, data brokers, archives, and public records is mapped as an exposure surface.

Open-data surfacePriority

5 traces found

Phone, email, and name traces are separated
Source trust and duplicate records are grouped
Removal or exposure-reduction steps are suggested

Panel action: Keep required traces and reduce unnecessary public exposure.

How result quality is checked

Each result is checked with source history, match quality, risk reason, and a closable action trail.

Source history is kept

Source type, first-seen time, and last recheck time are separated for each finding.

Example: breach index + forum record + last checked

False positives are reduced

A raw match is not enough; account, domain, data class, and date signals are reviewed together.

Example: match quality and source trust

Risk level has a reason

Password, session, financial data, or personal-information exposure changes the risk level.

Example: high risk because password + active account

Actions can be closed

The alert is shown with task, link, and follow-up status in the panel.

Example: password changed, 2FA enabled, monitoring continues

Frequently Asked Questions

The most common questions about how our services work and how we approach data.

01How does LeakData Password Security work?

Passwords exposed in previous breaches are loaded into the system. Users avoid reusing these passwords, and organizations can add exposed-password checks to password management workflows through API integration.

02How does the Account Security module detect data breaches?

Breach records, open-source reports, and dataset signals are monitored across platforms. Before a record appears in the panel, source trust, date, domain, data class, and match quality against the user asset are reviewed.

03Which threats does Social Media Security protect against?

Public profile changes, impersonation profiles, username/email traces, and open-source risk signals are evaluated separately. In critical cases, the user sees profile verification, impersonation reporting, and account-security recommendations such as 2FA.

04How does the Digital Hygiene module scan personal data?

Core details such as name, surname, email, and phone are deeply scanned across search engines, data brokers, open social media archives, and public records with OSINT tools. Cross-validation algorithms remove false matches, and findings are shown with a Digital Risk Score (DRS) from one panel.

05Are you a data broker?

No. We do not sell or store your data. We only scan open/deep breach sources on the internet to provide early warnings.

Know what the first check will show

When you create a LeakData account, you see a trackable result with source, risk reason, and recommended action, not just an alert list.

Source and date context
Risk reason and priority
Closable action list

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