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bloctopus-intelligence-blockchain-forensics-crypto-recovery

Crypto Scam Investigations

Investigating rug pulls, token scams, wallet activity, and suspicious on-chain behaviour

bloctopus-intelligence-blockchain-forensics-crypto-recovery

At Bloctopus Intelligence, we investigate a wide range of crypto-related scams, suspicious token projects, and high-risk on-chain activity. Our work combines blockchain forensics, token analysis, wallet monitoring, and off-chain intelligence to help clients understand what happened, identify red flags, and assess whether a project, wallet, or transaction pattern may be fraudulent, deceptive, or otherwise suspicious.

We analyse cases ranging from classic rug pulls and exit scams to more sophisticated token schemes involving misleading narratives, hidden wallet relationships, suspicious liquidity movements, fabricated partnerships, or coordinated on-chain behaviour.

Use cases

Our crypto scam investigation services may be relevant for:

individuals affected by suspicious token projects,

investors seeking deeper due diligence on a project or wallet,

law firms preparing litigation or recovery strategies,

compliance teams reviewing high-risk exposures,

exchanges and service providers assessing suspicious activity,

journalists or analysts examining questionable crypto projects,

and public-sector bodies requiring structured blockchain intelligence.

What we develop

Rug pulls and exit scams

We investigate token projects where liquidity is removed, insiders exit positions, or project teams suddenly abandon operations after attracting market interest. This includes reviewing liquidity events, wallet concentration, deployer activity, token distribution, insider transfers, and post-launch fund movements.

Businesses

RANSOMWARE VIRUSES

INTERNAL FRAUD

INCIDENT RESPONSE (NIS-2, DORA) TIMELINES

Suspicious token launches

Not every token launch is a scam, but many display warning signs from the beginning. We analyse newly launched tokens for red flags such as concentrated ownership, hidden related wallets, unusual trading behaviour, artificial volume, deceptive tokenomics, abusive tax structures, or privileged insider positioning.

Wallet monitoring and behavioural analysis

We develop tools that trace the movement of assets across multiple addresses, wallets, protocols, and even across different blockchain networks. Particular focus is placed on tracking transfers involving bridge solutions, decentralized exchanges, mixers, swap mechanisms, and other structures that reduce transparency and complicate tracing efforts.​​​​

Smart contract and token analysis

We review smart contracts and token mechanics to identify technical or economic features that may expose users to elevated risk. This includes analysing minting privileges, proxy structures, blacklist or freeze functions, transfer restrictions, upgradeability, hidden administrative controls, and other contract-level features that may affect investor protection or transparency.

Cross-chain tracing of suspicious funds

We develop tools that trace the movement of assets across multiple addresses, wallets, protocols, and even across different blockchain networks. Particular focus is placed on tracking transfers involving bridge solutions, decentralized exchanges, mixers, swap mechanisms, and other structures that reduce transparency and complicate tracing efforts.​​​​

Businesses

RANSOMWARE VIRUSES

INTERNAL FRAUD

INCIDENT RESPONSE (NIS-2, DORA) TIMELINES

Liquidity, trading, and market behaviour analysis

We analyse how a token is actually trading, not only how it is being marketed. This includes reviewing liquidity pool structure, trading concentration, wallet-to-wallet volume patterns, repeated buy/sell cycles, potential wash trading indicators, sniper activity, and other forms of market behaviour that may suggest manipulation or artificial traction.

On-chain and off-chain intelligence fusion

Many of the most important red flags only become visible when blockchain data is reviewed together with off-chain sources. We therefore assess project websites, public statements, social media activity, community behaviour, claimed partnerships, team visibility, prior project history, domain data, and other intelligence inputs alongside the blockchain evidence.

What our analysis can reveal

Depending on the case, our investigations may help reveal:

  • whether a token project shows characteristics commonly associated with rug pulls or exit scams,

  • whether wallets appear to be linked despite being presented as independent,

  • whether insiders may have exited before public collapse,

  • whether claimed user adoption or market activity appears genuine,

  • whether smart contracts contain hidden or under-disclosed risk features,

  • whether liquidity and volume data reflect real market behaviour,

  • and how assets moved after the suspected scam event.

Tailored investigations and custom monitoring

Not all scam investigations look the same. Some cases require a one-time in-depth token review. Others require continuous wallet monitoring, watchlists, automated alerts, or a custom workflow built around a specific blockchain ecosystem, token type, or investigative hypothesis.

At Bloctopus Intelligence, we also provide tailor-made investigation and monitoring solutions for clients who need a more targeted approach. This may include custom wallet watchlists, token-specific monitoring frameworks, red-flag detection logic, or bespoke analytical workflows designed around a particular scam typology or investigative objective.

If you need a tailored crypto scam investigation, wallet monitoring solution, or project-specific forensic review, get in touch with us to discuss your needs.

Looking beyond the blockchain explorer

A blockchain explorer shows transactions. An investigation explains what those transactions may actually mean.

That is why our work goes beyond simple transaction review. We combine:

  • on-chain transaction analysis,

  • token and smart contract review,

  • wallet monitoring and behavioural analysis,

  • liquidity and trading pattern analysis,

  • cross-chain fund flow tracing,

  • open-source intelligence (OSINT),

  • social media, website, and community review,

  • and other relevant off-chain data points.

 

This approach allows us to place raw blockchain activity into context and identify patterns that may otherwise remain hidden.

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