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Can Threat Intel Platforms Handle Wallet IDs & Crypto Addresses?

August 23, 2021

Introduction

Threat Intelligence Platforms are adequately equipped to support the evolving needs of Cryptocurrency Threat Intelligence. As cybercriminal activity increasingly involves blockchain-based assets, traditional threat intelligence data models, focused on IPs, domains, and hashes fall short. The article argues for native support of Custom Objects, specifically Wallet IDs and cryptocurrency addresses, to enable structured tracking, correlation, and investigation of crypto-related threats within existing intelligence platforms.

Key Takeaways  

  • Leading TIPs should support custom objects like cryptocurrency wallet IDs to meet government priorities in crypto forensics.
  • Integration with blockchain tools like ChainAnalysis enables automated transaction search and visualization in TIPs.
  • Current TIPs lack native support for crypto-specific objects, limiting effectiveness in cryptocurrency crime investigations.
  • Custom object support allows de-anonymization of illicit activities, risk scoring, and regulatory compliance with crypto threats.

The Financial Crimes Enforcement Network (FinCEN) has named “Cybercrime, including relevant cybersecurity and virtual currency considerations” a national priority. In June 2021, President Joe Biden issued a directive to federal agencies to prioritize efforts to confront global anti-corruption, with Cryptocurrency as a focus. The Biden administration has also unveiled its strategy to combat ransomware, which includes expanding Cryptocurrency analysis to find criminal transactions.

At Loginsoft, we work with several companies which provide Threat Intelligence Data including Cryptocurrency Intelligence with Anti-Money Laundering, Cryptocurrency Forensics, and Blockchain Threat Intelligence Solutions. The Crypto Threat intelligence provided by blockchain companies are used by banking, financial institutions and law enforcement agencies to monitor, investigate and prevent financial crimes such as Financing Terrorism, Ransomware, Bitcoin mules and Extortion that involve Cryptocurrency.

However, most of the leading Security Threat Intelligence Platforms have limitations in supporting Cryptocurrency forensics for investigators, analysts, and researchers. Due to this and government driven policies, there is an increased need for integrating the Cryptocurrency analytics from leading companies like ChainAnalysis, CipherTrace, Elliptic, Coin Path, TRM Labs into various Threat Intelligence Platforms. Most of the banks and government agencies may have already implemented Threat Intelligence Platforms to track and investigate various cyber crimes. It would be nice if some of the leading platforms can start supporting Blockchain analysis tools like Cryptocurrency investigations into their platforms. Integration of Crypto Threat Intel from Block chain companies with Threat Intelligence platforms can provide Analysts an interface as Automated search, Context based Visualization capabilities for creating crypto transaction flows, Address Identification Database. This can help Investigators to identify the destination of the cryptocurrency ransom and analyze transactions relevant to a ransomware campaign through cryptocurrency due diligence. While Threat Intelligence Platforms support integration of IOCs from network endpoints, web applications, intrusion detection & prevention systems, Firewall and so on, they should expand their support to these new custom objects, related to Cryptocurrency so that clients who have already invested in the infrastructure can easily leverage the same platform to monitor and track transactions.

Consider supporting the following Cryptocurrency Intelligence Use Cases which could help in identifying and monitoring these cyber criminalities.

  • Identifying Wallet Owners and Geographical Location
  • Transaction History that includes Incoming Transactions and Outgoing transactions
  • Transaction Risk (risky transaction characteristics include gambling sites, dark market, criminal, and mixing services)
  • Cryptocurrency address details and Risk (i.e., illicit, or criminal history associated with a Cryptocurrency address)
  • Cryptocurrency addresses association with an IP Address

The above Use cases are just a sample that could help and enable investigators, analysts, and researchers to de-anonymize Crypto transactions and obtain solid evidence on individuals who use Cryptocurrencies for various crimes. Fraud investigators can access advanced Cryptocurrency Intelligence combining millions of attribution data points from these Blockchain Intelligence Providers. It will also help facilitate visualizing actionable Cryptocurrency intelligence and help comply with Cryptocurrency regulations.

Typical Users of Cryptocurrency Intelligence:

  • Financial Crime Analysts
  • Law Enforcement Agencies
  • Dark Web Analysts
  • Ransomware Investigators

In Conclusion, as Blockchain technology continues to develop and Cybersecurity community is playing an active role in finding solutions for the challenges posed, there is an opportunity for Threat Intelligence platforms to support the most common target entity types such as Cryptocurrency Address, Transaction and Wallet at the minimum, thereby enhancing Cryptocurrency intelligence.

FAQs

Q1. Why do Threat Intelligence Platforms need Custom Objects?

Threat Intelligence Platforms (TIPs) use custom objects to extend beyond standard formats like STIX, they model unique threat data (e.g., crypto wallets, malware variants, internal fraud), add rich context (blockchain history, forensics), connect disparate elements (IPs to campaigns), and adapt intel to organizational needs, boosting detection, response speed, and security efficiency.

Q2. What role do Wallet IDs play in Cryptocurrency Threat Intelligence?

Wallet addresses (public keys) are core to cryptocurrency threat intelligence, These pseudonymous on-chain identifiers enable investigators to track illicit fund flows, uncover criminal networks, and connect blockchain activity to real-world threat actors, turning anonymous transactions into traceable evidence, major role involves in Transaction Tracing and Analysis, Entity Attribution, Risk Scoring, Operational Disruption

Q3. What happens if platforms don’t support Custom Objects?

Without custom objects in a TIP, organizations fall back on inefficient workarounds like spreadsheets, generic fields, or external databases for unique threat data, this causes data fragmentation, scattered context, limited visibility into complex threats, and integration hurdles slowing analysis, weakening correlations, and hampering effective response.

Q4. How do Custom Objects improve threat investigations?

Custom objects enhance threat investigations by flexibly modeling unique, organization-specific data outside standard schemas, this supports precise threat profiling, richer contextual links, quicker analysis, and tailored security operations aligning defenses closely with real-world risks and priorities.

Q5. Is Cryptocurrency Threat Intelligence becoming critical?

Yes. As attackers increasingly use cryptocurrencies, specialized intelligence and platform capabilities are essential for effective threat detection and response.

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