Blockchain Intelligence (BLOCKINT) is intelligence derived from distributed ledgers and the activity recorded on them. It analyzes cryptocurrency transactions, wallet relationships, and smart-contract behavior to understand how value moves through blockchain networks. In cyber threat intelligence, BLOCKINT is increasingly relevant because many criminal operations, from extortion to fraud, settle in cryptocurrency, leaving a durable public record.

As a collection discipline, BLOCKINT is defined by the on-chain source it draws on. Because most public blockchains are transparent and immutable, analysts can trace flows between addresses, cluster wallets that appear to share control, and follow funds across services. This work supports attribution, fraud investigation, and the financial dimension of incident analysis, often complementing OSINT and other disciplines that supply the real-world context around an address.

BLOCKINT matters because financial movement is a persistent and revealing signal that is difficult to erase once recorded. It can connect otherwise separate incidents, support asset recovery efforts, and illuminate the economics behind a campaign. Its typical inputs include public ledger data, transaction graphs, and smart-contract records, often enriched with external attribution. Its limits include pseudonymity, privacy-enhancing techniques, cross-chain complexity, and the need to pair on-chain observation with off-chain context before drawing conclusions about who is behind an address.

References#

• FIRST and SANS Cyber Threat Intelligence community resources
• The Diamond Model of Intrusion Analysis