Blockchain Investigation Explained

    3 min read · Last updated

    Blockchain investigation is the disciplined reading of public ledger data to answer a specific question: where did value go, and which real-world services touched it.

    This article sets out the method, the evidentiary standards involved, and where the technique reaches its limits.

    Layers of a blockchain investigation
    1. 1
      Raw ledger data
    2. 2
      Transaction graph
    3. 3
      Address clustering
    4. 4
      Service attribution
    5. 5
      Evidence narrative

    The data an investigator works with

    Every public transaction exposes inputs, outputs, amounts, fees and block timestamps. Smart-contract networks add internal calls, token transfers and contract interactions.

    This data is complete and verifiable by any third party, which is what makes it strong evidence when documented correctly.

    From transactions to a graph

    Individual transfers are assembled into a directed graph. Nodes are addresses; edges are transfers weighted by value and time. Patterns become visible at this level that are invisible transaction by transaction.

    • Peeling chains, where value is split repeatedly to obscure a trail
    • Consolidation wallets aggregating many victim deposits
    • Automated dispersal to fresh addresses within minutes

    Clustering and attribution

    Clustering groups addresses likely controlled by one entity using heuristics such as common input ownership and change-address behaviour. Attribution then links a cluster to a known service through deposit patterns, published address sets and documented interactions.

    Heuristics are probabilistic

    Every heuristic has failure modes. A defensible report distinguishes a mathematical fact on the ledger from an inference about control.

    Producing evidence rather than screenshots

    A finding is only useful if a third party can verify it. Reports therefore cite transaction hashes, block heights, retrieval timestamps and the methodology used for each conclusion.

    Limits of the technique

    On-chain data cannot establish intent, contractual context or identity by itself. It establishes movement. Combining it with open-source intelligence and documentary evidence is what turns movement into a case.

    Case intake is confidential and handled by email at cybersec@securida.info.

    Frequently asked questions

    Is blockchain analysis admissible as evidence?
    On-chain data is independently verifiable, which supports its evidentiary value. Admissibility depends on jurisdiction and how the analysis is documented and presented.
    Do privacy coins make investigation impossible?
    They make on-chain tracing substantially harder. Investigations then rely more heavily on the boundaries where value enters or leaves regulated services.
    Author
    SEQRIA Research Team emblem
    SEQRIA Research TeamInvestigative research unit, SEQRIA
    • Cyber Intelligence
    • Blockchain Investigations
    • Digital Forensics

    The SEQRIA Research Team is the investigative research unit of SEQRIA, specialising in cyber intelligence, blockchain investigations and digital forensics.

    Its work focuses on digital asset investigations, blockchain transaction analysis, cyber incident investigations and technical evidence collection. Published material is reviewed internally before release.

    About the research team

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    SEQRIA provides technical investigation, forensic analysis and recovery assistance. Outcomes are never guaranteed. Case intake is confidential and handled by email.

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