
1.1 Defining «Fullz» and Compromised Data
The term “fullz” within the online black market
refers to a complete package of stolen information
relating to an individual. This typically includes a
credit card data set – encompassing the cardholder
name, CVV, expiration date, and the full
credit card number. However, a “fullz” extends far
beyond basic payment card industry (PCI) data.
It often incorporates Personally Identifiable
Information (PII) such as date of birth, social
security numbers (where accessible), addresses, phone
numbers, and even email addresses and passwords – stolen
credentials ripe for account takeover. This
extensive compilation dramatically increases the potential
for identity theft and sophisticated financial
fraud. The value of a “fullz” is significantly higher
than fragmented compromised data due to its
completeness and utility for malicious actors.
1.2 How Stolen Data Reaches Illicit Marketplaces
Data breaches are a primary source, often stemming
from hacking into businesses that store credit card
data. Poor security risks and inadequate PCI
compliance make organizations vulnerable. Phishing
attacks, where individuals are tricked into revealing
personal and financial details, also contribute heavily.
Malware, such as keyloggers and information stealers,
installed on compromised systems, silently capture sensitive
data. Once obtained, this stolen information is
aggregated and sold on illicit marketplaces within
the darknet markets, accessible via networks like the
Tor network and I2P; These platforms operate
with a focus on anonymity, making tracing the origin
and perpetrators extremely difficult. Underground forums
serve as hubs for trading and discussing dumps and
“fullz”, often utilizing escrow services to build
trust between buyers and sellers.
The term “fullz” within the online black market
denotes a comprehensive set of stolen information;
Beyond basic credit card data (number, CVV,
expiration date, cardholder name), a “fullz”
includes extensive PII – date of birth, social security
numbers, addresses, phone numbers, and email credentials.
This complete profile significantly elevates the risk of
identity theft and complex financial fraud,
surpassing the value of fragmented compromised data.
The utility for malicious actors is maximized, enabling
account takeover and broader exploitation. Stolen
credentials within a “fullz” facilitate deeper access
and prolonged fraudulent activity. Understanding this
scope is crucial for assessing security risks.
Data breaches, often resulting from hacking and
poor PCI compliance, are primary sources. Phishing
campaigns and malware (keyloggers, info-stealers)
also contribute significantly to the collection of stolen
information. Once acquired, this data is traded on
darknet markets, accessed via Tor network and I2P.
These platforms prioritize anonymity, hindering
tracing. Underground forums facilitate the sale of
“fullz” and dumps, often utilizing escrow services
for trust. The online black market ecosystem thrives
on this exchange, fueling cybercrime and financial
loss. The process highlights critical security risks
and the need for robust fraud prevention measures.
The Mechanics of Carding and Financial Fraud
2.1 Understanding «Carding» Techniques
“Carding” refers to the fraudulent use of credit
card data obtained through stolen information.
Techniques range from simple online purchases to complex
schemes involving creating fake IDs and opening fraudulent
accounts. Initial verification often bypasses address
verification system (AVS) checks through data
manipulation or utilizing compromised addresses matching
the cardholder name.
More sophisticated carders employ techniques to evade
3D Secure authentication, such as using stolen
credentials or exploiting vulnerabilities in the system.
The goal is to make purchases or withdraw funds before the
compromised data is detected and blocked, resulting in
financial loss for both the cardholder and financial
institutions. Digital forensics often reveals patterns
in these attacks.
2.2 The Role of Cryptocurrency in Facilitating Transactions
Cryptocurrency, particularly Bitcoin and Monero,
plays a crucial role in carding and financial fraud
due to its perceived anonymity and decentralized
nature. Bitcoin transactions, while traceable on the
blockchain, can be obfuscated through mixing services and
tumblers. Monero, with its enhanced privacy features
and encryption, is favored for its greater difficulty
in tracing funds.
These currencies allow criminals to receive payments for
stolen information and launder funds with relative ease,
complicating law enforcement efforts. The use of
cryptocurrency reduces the risk of traditional financial
institutions flagging suspicious activity, further enabling
cybercrime within illicit marketplaces.
Law Enforcement and Dark Web Investigation
“Carding” refers to the fraudulent use of credit
card data obtained through stolen information.
Techniques range from simple online purchases to complex
schemes involving creating fake IDs and opening fraudulent
accounts. Initial verification often bypasses address
verification system (AVS) checks through data
manipulation or utilizing compromised addresses matching
the cardholder name. Carders frequently test dumps
– card numbers and associated data – on “checkers” to
confirm validity before attempting larger transactions.
More sophisticated carders employ techniques to evade
3D Secure authentication, such as using stolen
credentials or exploiting vulnerabilities in the system.
They may utilize proxies and VPNs to mask their location
and further enhance anonymity. “Brute-forcing”
attempts on one-time passwords are also common. The goal
is to make purchases or withdraw funds before the
compromised data is detected and blocked, resulting in
financial loss for both the cardholder and financial
institutions. Digital forensics often reveals patterns
in these attacks, highlighting preferred merchant types
and transaction amounts.
This is a concise and well-written overview of the «fullz» data market. The explanation of what constitutes a «fullz» – going beyond just credit card details to include extensive PII – is particularly important for understanding the scope of the threat. The article effectively outlines the common pathways for this data to reach illicit marketplaces, highlighting the roles of data breaches, phishing, and malware. The mention of darknet networks and escrow services adds valuable context. It