Dead Fullz – Outdated Identity Packs – Legacy Data for Training and Testing

Description

What Are Dead Fullz?

Dead Fullz are complete identity profiles that are no longer viable for active fraud operations because the data has expired, been overused, or is already flagged in financial systems. While fresh Fullz are used to open live accounts and commit real-time fraud, Dead Fullz are valued in the security research community for training AI models, testing fraud detection systems, and simulating social engineering scenarios without high operational risk.

A Dead Fullz pack typically includes:

• Full Legal Name

• Date of Birth (DOB) (may be outdated in credit bureau systems)

• Social Security Number (SSN) (often marked as compromised)

• Past & Current Addresses (some may be inactive)

• Phone Numbers (may be disconnected)

• Email Address (active or inactive)

• Driver’s License Number (may be expired)

• Mother’s Maiden Name

• Old Credit File Data (where available)

These identities are skeletons of once-usable profiles, perfect for controlled lab use.

Why Are Dead Fullz Still Useful?

While Dead Fullz won’t pass strict KYC or open new bank accounts, they still hold value for:

✅ Training AI-based fraud detection systems
✅ Testing KYC/AML workflow scripts
✅ Red-teaming helpdesk & customer service social engineering defenses
✅ Practicing phishing & spear-phishing simulations
✅ Educating fraud prevention teams on how data is structured
✅ Benchmarking identity verification software

Security teams often prefer Dead Fullz because they simulate real-world PII without the same legal exposure as live Fullz.

Real-World Use Cases (Fraud Operator Notes)

1. Social Engineering Training

• Call center staff trained to detect identity impersonation tactics.

• Uses Dead Fullz to simulate “customer” verification attempts.

2. Phishing Kit Calibration

• Outdated identities used to refine phishing templates without risking live accounts.

3. Dark Web Marketplace Seeding

• Dead Fullz posted in marketplaces to lure scammers or bait law enforcement stings.

4. Penetration Testing for Identity Services

• Identity verification software stress-tested with high volumes of outdated profiles.

5. Synthetic Identity Model Building

• Machine learning teams use expired data to train detection models for synthetic ID patterns.

Product Quality & Features

We source Dead Fullz from:

• Public breach archives

• Expired underground market databases

• Law enforcement seizures and dumps

Each pack is checked for:
✅ Complete PII set (even if outdated)
✅ Realistic formatting and structure
✅ Cross-referencing accuracy with legacy credit files
✅ Inclusion of optional extras like expired DL scans or inactive emails

Formats: .TXT, .CSV, .XLS
Ages: 3–10+ years old from breach date
Risk Level: Low (inactive in most active fraud systems)

Geolocation Options

• United States

• Canada

• United Kingdom

• Australia

• European Union

• Global mixed packs

OPSEC Tips for Buyers

• Clearly label all outdated PII before use in training environments

• Avoid mixing Dead Fullz with live data to prevent contamination

• Keep data stored in isolated, encrypted research drives

• Use only in authorized simulation environments

⚠️ Legal Disclaimer

This product is provided for security research, education, and simulation purposes only.
Using outdated identities for fraud is still illegal.
We do not promote or condone illegal activity.

Suggested Pairing Products

• Fraud Simulation Training Kit

• Call Center Social Engineering Playbook

• Phishing Simulation Platform Access

• Synthetic ID Detection Dataset

• Expired Document Image Pack (DL, Passport, Utility Bills)