Criminal Eco-System of Solana: Challenges & Forensic Analysis

1. Introduction

Objective: This report provides an analysis of the potential scope and nature of HexForensic’s forensic investigation work specifically within the Solana blockchain ecosystem. The analysis focuses on three core areas: the unique investigative challenges presented by the Solana network, the prevalent criminal typologies relevant to forensic investigation on Solana, and the methodologies, including techniques and tools, likely employed to address these challenges and activities.

Contextualizing HexForensic: Hexforensic is identified as a specialized firm offering services in digital currency forensic investigations, legal support, and asset recovery.¹ The firm’s published research demonstrates expertise in complex forensic areas, including the analysis of Bitcoin mixing activities linked to sophisticated threat actors like the Lazarus Group and case studies on tracing privacy-enhancing cryptocurrencies such as Monero.¹ These activities indicate a capacity for tackling challenging blockchain forensic problems involving obfuscation techniques.

Addressing Data Limitations: A significant constraint in this analysis is the lack of direct, publicly available information confirming HexForensic’s specific engagements or capabilities related to the Solana blockchain. The primary source for the company’s research publications, hexforensic.com/research, was inaccessible during the research phase for this report.² Furthermore, the company’s main website outlines general service offerings but does not explicitly mention Solana investigations, proprietary tools developed for Solana, or specific Solana-related case studies.¹ Consequently, this report analyzes the known forensic landscape of the Solana ecosystem—its challenges, common crimes, and the tools used by investigators—and infers HexForensic’s potential role and focus based on their established general capabilities and the specific demands of the Solana environment. For definitive confirmation of HexForensic’s Solana services and experience, direct contact with the firm is recommended.¹

Report Structure Overview: The subsequent sections delve into the specifics of the Solana forensic environment. Section 2 examines the unique challenges posed by Solana’s architecture. Section 3 details common illicit activities investigated on the platform. Section 4 outlines the investigative methodologies and tools utilized in Solana forensics. Section 5 provides a profile of HexForensic and discusses its potential focus within the Solana ecosystem based on inference. Finally, Section 6 concludes the report with a synthesis of the findings.

2. The Solana Forensic Environment: Unique Challenges and Considerations

Overview: Solana operates as a high-performance Layer 1 blockchain designed for speed and scalability, distinguishing it significantly from Ethereum Virtual Machine (EVM)-based chains.³ While features like its Proof-of-History consensus mechanism and unique account model enable high throughput and low transaction fees ⁴, they concurrently introduce specific complexities and challenges for forensic investigators.

2.1. Proof-of-History (PoH) Implications:

Solana’s architecture incorporates Proof-of-History (PoH), which functions not as a consensus mechanism itself, but as a cryptographic timekeeping system.6 It utilizes a sequential hashing process, specifically a Verifiable Delay Function (VDF) based on SHA-256, to create a verifiable and immutable sequence of events before consensus is reached.6 This pre-established ordering of transactions allows validators, operating under a Proof-of-Stake (PoS) consensus overlay, to process transactions more efficiently by reducing the communication overhead required to agree on time and sequence.5

The primary forensic challenge stemming from PoH arises indirectly from the very speed it enables. Solana’s purported capacity to handle tens of thousands of transactions per second (with claims up to 65,000 TPS) generates an immense volume of on-chain data.⁴ This sheer scale complicates comprehensive forensic analysis, demanding specialized data handling infrastructure and powerful analytical tools capable of processing and querying vast datasets efficiently.⁹ Furthermore, the high velocity of transactions significantly shortens the window for real-time intervention or anomaly detection compared to blockchains that utilize a mempool, where transactions typically wait for a period before being finalized into a block.⁶ This places a greater emphasis on post-facto analysis and robust protocol-level security measures within Solana itself.⁶ The optimization for speed inherent in PoH thus translates directly into forensic challenges related to data scale management and the reduced timeframe for pre-finalization analysis.

2.2. Solana Account Model (SVM vs. EVM):

The Solana Virtual Machine (SVM) employs an account model fundamentally different from the EVM used by Ethereum and compatible chains.10 In Solana, the term ‘account’ is broader, representing any data structure on the blockchain that stores state, token balances, or executable program code.10 Every piece of data persists within these accounts, which possess fields such as lamports (native token balance), owner (the program ID controlling the account), executable (a boolean indicating if the account contains code), and data (a byte array holding arbitrary state).10 This contrasts sharply with Ethereum’s model, which distinguishes between Externally Owned Accounts (EOAs), controlled by private keys, and Contract Accounts (CAs), which contain code and associated storage.10 In Ethereum, transactions are invariably initiated by EOAs.10

A key forensic challenge arises from Solana’s implementation of Program Derived Addresses (PDAs). PDAs are accounts whose authority rests with a specific program, not a private key.¹⁰ Solana features native account abstraction, allowing programs to programmatically sign for and initiate transactions via the PDAs they control.¹⁰ This capability complicates the process of tracing the ultimate origin of funds or actions compared to Ethereum, where tracing typically leads back to an EOA signature. On Solana, investigators must identify the owner program of a PDA and potentially analyze its code to understand the logic and authorization governing the PDA’s actions.¹⁰

Further complexities arise from Solana’s ‘rent’ mechanism and its stateless program execution model. Accounts on Solana must maintain a minimum balance of lamports to be considered ‘rent-exempt’ or otherwise pay periodic rent to cover storage costs.¹⁰ Accounts failing to meet these requirements can be automatically garbage-collected by the network, potentially leading to the loss of historical data relevant to an investigation.¹⁰ Additionally, Solana programs themselves are stateless; they do not store data internally.¹¹ Instead, all necessary state is stored in separate data accounts, which must be explicitly passed into the program during transaction execution.¹¹ For investigators, this means reconstructing the state and activity related to a specific program often requires identifying and analyzing data from multiple associated accounts, rather than examining the storage of a single contract account as might be done on the EVM.¹⁰ This distributed state management increases the complexity of comprehensive analysis. The SVM’s design, therefore, shifts the forensic focus from primarily tracking EOA signatures and contract storage changes (EVM) towards understanding program ownership, analyzing inter-account data dependencies, and interpreting program logic (SVM).

2.3. High Throughput and Data Volume:

As previously noted, Solana’s design prioritizes high transaction throughput.4 This results in the generation of exponentially more on-chain data compared to many other blockchains, presenting a significant engineering and analytical challenge.8 Effectively handling, storing, indexing, and querying this massive dataset is a primary hurdle for any forensic activity on Solana.

Standard blockchain analysis tools or database solutions may prove insufficient or inefficient when faced with Solana’s data scale. Investigators and platform providers require specialized infrastructure and techniques. This can include running dedicated Solana validator nodes equipped with Geyser plugins to stream real-time data ⁹, utilizing optimized data warehouses like Google BigQuery which offer public Solana datasets ⁹, employing specialized third-party indexers, or relying on commercial blockchain intelligence platforms that have invested heavily in building robust Solana data ingestion and analysis pipelines.⁸ The substantial resource commitment required for effective data management implies that comprehensive Solana forensics may be more readily achievable by well-equipped organizations or those leveraging specialized service providers.

2.4. Transaction Structure and Failures:

Solana transactions possess a structure that allows for multiple instructions to be included within a single transaction.11 This differs from Ethereum, where a standard transaction typically invokes a single function call on a contract or transfers value. This multi-instruction capability can complicate analysis, particularly regarding atomicity and partial execution states if certain instructions fail while others succeed.

Furthermore, the Solana network experiences a notably high rate of transaction failures, particularly during periods of high network load or “memecoin mania,” with reports suggesting failure rates can exceed 75% for non-vote transactions.¹² This contrasts significantly with the much lower failure rates typically observed on Ethereum.¹² A large portion of these failures is attributed to bot activity, often related to arbitrage or MEV attempts, leading to errors like “price or profit not met” or “invalid status”.¹²

For forensic investigators, this high volume of failed transactions introduces considerable noise into the dataset.¹² Analytical workflows must incorporate methods to effectively filter out these failed transactions when tracing successful fund movements or, alternatively, analyze the patterns and error logs of failed transactions themselves.¹² Such analysis might reveal malicious probing, spam campaigns, or the operational patterns of bot networks, but it adds a layer of complexity to the investigative process. The prevalence of transaction failures represents a distinct data quality challenge specific to Solana forensics.

2.5. Network Stability and Outages:

Solana has experienced several network outages and periods of degraded performance since its launch.14 These incidents have often been attributed to software bugs in validator clients or the network’s inability to effectively handle sudden floods of transaction spam, which can mimic Distributed Denial-of-Service (DDoS) attacks.14 Specific incidents involved consensus failures due to partitions or bugs related to how blocks and state were tracked internally.14

From a forensic perspective, network instability poses operational risks and analytical challenges. Outages obviously disrupt any real-time monitoring efforts. Post-incident analysis can be complicated if the event caused temporary inconsistencies in block history or state transitions that require careful reconciliation.¹⁴ In some cases, the forensic investigation might even focus on identifying the root cause of the outage itself, such as determining if a specific type of transaction or malicious activity triggered a client bug or consensus failure.¹⁴ Therefore, the historical instability of the network adds a layer of complexity that investigators must consider when analyzing data, particularly from periods surrounding known incidents.

3. Common Illicit Activities Investigated on Solana

Overview: The Solana ecosystem, characterized by its high speed, low transaction costs, and growing adoption in areas like Decentralized Finance (DeFi) and Non-Fungible Tokens (NFTs) ⁴, has unfortunately become a fertile ground for various forms of financial crime. These illicit activities necessitate specialized forensic investigations, aligning closely with the types of services offered by firms like Hexforensic, such as asset tracing and recovery.¹

3.1. Decentralized Finance (DeFi) Exploits:

The rapid expansion of Solana’s DeFi sector has made it an attractive target for attackers.4 While the overall value stolen from DeFi hacks saw a decline in 2023 compared to the peak in 2022, DeFi protocols remain significant targets, and Solana is frequently cited alongside EVM chains as being among the most targeted platforms.15 This is largely due to the value locked within these protocols and the complexity of their smart contracts (programs on Solana).15

Common attack vectors requiring forensic investigation include:

• Smart Contract / Program Vulnerabilities: Exploiting flaws in the underlying code of DeFi protocols remains a primary method of attack.¹⁵ Examples include logical errors, missing security checks (like signer or ownership verification), unsafe Rust code usage, arithmetic errors, or confusion bugs related to Solana’s account model.¹⁷ The Uranium Finance exploit on BSC, caused by a single-character code error leading to a $52 million loss, exemplifies how minor flaws can have catastrophic consequences, underscoring the critical need for thorough security audits.¹⁶
• Price Oracle Manipulation: Attackers can manipulate the price feeds used by DeFi protocols to determine asset values, allowing them to borrow excessively or trigger unfair liquidations. The $117.8 million exploit of Mango Markets on Solana serves as a prominent example of this attack type.¹⁶
• Flash Loan Attacks: While not explicitly detailed for Solana in the provided materials, flash loans (uncollateralized loans that must be repaid within the same transaction) are a common tool in DeFi exploits across chains. Attackers use the borrowed capital to manipulate markets or exploit protocol logic for profit.¹⁶
• Infrastructure Attacks: These attacks target components surrounding the protocol rather than the smart contracts themselves. This includes compromising private keys that control protocol administration or upgrades, or exploiting vulnerabilities in front-end interfaces to trick users.¹⁶ The large-scale Slope wallet exploit on Solana, where thousands of user wallets were drained due to compromised private keys originating from the wallet software, falls into this category.¹³

Investigating these incidents demands a deep understanding of the Solana Virtual Machine, the intricacies of its account interactions, sophisticated transaction tracing skills, and often, the ability to audit Solana program code (typically written in Rust).¹⁷ HexForensic’s core services in asset tracing and investigation are directly applicable to these scenarios.¹

3.2. Non-Fungible Token (NFT) Fraud and Scams:

Solana’s efficiency and low costs fueled a boom in NFT activity, which inevitably attracted fraudulent schemes.4 Forensic investigators are frequently called upon to analyze various NFT-related scams:

• Rug Pulls: This is perhaps the most notorious NFT scam type. Developers promote an NFT project, often making ambitious promises about future utility or game development, sell the NFTs to raise funds, and then abruptly abandon the project, disappearing with the collected cryptocurrency and leaving investors with worthless tokens.²¹ The “Undead Apes,” “Undead Lady Apes,” and “Undead Tombstone” NFT collections on Solana represent a documented case where the developers executed a rug pull after raising significant funds (estimated between $135,000 and over $300,000).²⁴ While other examples like Frosties and Evolved Apes occurred on different chains, they illustrate the common pattern.²²
• Phishing and Wallet Drainers: Scammers employ various social engineering tactics to trick users into revealing their private keys or signing malicious transactions that grant the attacker permission to drain NFTs and other assets from the victim’s wallet.²¹ Common methods include directing users to fake minting websites, promoting fake airdrops that require signing a malicious transaction to claim ²¹, or impersonating support staff.
• Wash Trading and Pump-and-Dump Schemes: These involve artificially inflating an NFT’s perceived value. Wash trading occurs when an individual or group repeatedly buys and sells an NFT among wallets they control to create fake volume and price history.²¹ Pump-and-dump schemes use aggressive social media promotion and sometimes paid endorsements to generate hype, drive up the price, and allow insiders to sell at the peak before the value collapses.²¹
• Counterfeits and Plagiarism: Scammers may mint NFTs representing artwork or collectibles they do not own the rights to, effectively selling fakes or plagiarized content.²²

Forensic investigations in the NFT space typically involve tracing the flow of funds from NFT sales (especially in rug pulls), identifying the wallets controlled by the scammers, analyzing the NFT smart contracts for potential backdoors or malicious functions ²³, and correlating on-chain activity with off-chain promotional efforts or communications. HexForensic’s expertise in asset recovery and investigations is highly relevant to victims of such scams.¹

3.3. Money Laundering:

The pseudonymous nature and global reach of cryptocurrencies make them attractive tools for money laundering.26 Solana, like other blockchains, can be exploited as part of laundering schemes. Key techniques observed or relevant include:

• Chain-Hopping: Moving illicit funds between different blockchains (e.g., from Solana to Ethereum or vice versa) to obscure their origin and make tracing more difficult.²⁶ This technique was explicitly employed in the Undead Apes Solana rug pull case, where funds were moved from Solana to Ethereum using Tornado Cash before being cashed out.²⁴ Cross-chain bridges are common vectors for this activity.²⁰
• Mixers and Tumblers: Utilizing services designed to break the link between the source and destination of funds by pooling transactions from multiple users.²⁶ Tornado Cash (prior to sanctions and subsequent decline in usage) was a popular choice.¹⁹ HexForensic’s research into Bitcoin mixing suggests familiarity with analyzing such obfuscation methods.¹
• Decentralized Exchanges (DEXs): Leveraging DEXs for rapid swaps between various cryptocurrencies, often across different chains, further complicating the audit trail.²⁰ DEXs may have less stringent Know Your Customer (KYC) requirements than centralized exchanges.
• Structuring and Layering: Breaking down large sums into smaller transactions and routing them through numerous intermediary wallets to obscure the overall flow.²⁶
• Use of High-Risk Entities: Transacting with wallets associated with known illicit activities, sanctioned entities, or unregulated exchanges in high-risk jurisdictions.²⁹
• NFTs for Laundering: Exploiting the subjective valuation of NFTs by buying and selling them at artificially inflated prices between controlled wallets to legitimize illicit funds.²⁶

Investigating money laundering on Solana requires advanced tracing capabilities, often spanning multiple blockchains, pattern recognition to identify mixing or structuring activities, and robust datasets to identify high-risk counterparties. These tasks align well with HexForensic’s stated tracing services and demonstrated research into obfuscation.¹

3.4. Sanctions Evasion:

Nation-states, terrorist organizations, and other sanctioned entities may attempt to use cryptocurrencies to circumvent traditional financial sanctions imposed by governments or international bodies.31 Examples include reports of Russian entities using crypto (including stablecoins like USDT) in international trade 33 and designated terrorist groups like the Houthis experimenting with crypto, albeit on a limited scale compared to other funding sources.30 While the provided materials do not detail major, confirmed instances of large-scale sanctions evasion specifically leveraging the Solana blockchain, its potential as a value transfer mechanism means it could be exploited for this purpose. Forensic tools actively monitor transactions for involvement with wallets designated by sanctions authorities like OFAC.29 Identifying and reporting such activity is a critical function for compliance and national security investigations.

3.5. High-Volume Bot Spam / Transaction Flooding:

Solana’s low transaction fees can incentivize the deployment of automated bots for various purposes, including arbitrage, Maximal Extractable Value (MEV) strategies, or simply spamming the network.12 This bot activity has been linked to periods of severe network congestion and even outages, effectively acting as a DDoS attack.12 Analysis shows that bots exhibit significantly higher transaction failure rates than human users.12 While bot activity itself is not always inherently criminal, it can be used to facilitate market manipulation or disrupt network operations. Forensic analysis may be required to identify the operators of malicious bot networks, understand their impact, or distinguish their activity patterns from legitimate users, requiring specialized analytical techniques.

4. Investigative Methodologies and Tools for Solana

Overview: Conducting forensic investigations on the Solana blockchain requires adapting traditional blockchain analysis techniques to accommodate its unique architecture, high transaction volume, and specific data characteristics. Success hinges on employing methodologies and tools capable of navigating these complexities effectively.

4.1. Core Forensic Techniques:

The fundamental principles of blockchain forensics apply, but their implementation on Solana demands specific considerations:

• Transaction Tracing & Flow Mapping: This remains the cornerstone of most investigations, involving meticulously following the movement of funds from victim wallets through intermediary addresses to eventual destinations, such as exchanges or other services.¹³ Given Solana’s architecture and the prevalence of techniques like chain-hopping, tracing often needs to extend across multiple blockchains.¹³ Visualization tools that can map these complex flows are crucial for understanding the movement of illicit assets.¹³
• Wallet Analysis & Clustering: Identifying all blockchain addresses controlled by a single entity (individual or organization) is critical. This involves analyzing transaction patterns, identifying common funding sources or withdrawal points, and leveraging known entity information.¹³ Sophisticated clustering algorithms are needed to perform this accurately at scale, accounting for Solana’s specific account interactions.¹³
• Smart Contract / Program Analysis: In cases of DeFi exploits or scams involving malicious contracts, investigators may need to analyze the Solana program code (often Rust).¹⁷ This helps identify the specific vulnerability exploited or uncover intentionally embedded backdoors designed to steal funds.¹⁶ Understanding the program logic is also essential when tracing funds controlled by PDAs, as the program’s code dictates its behavior.¹⁰
• Cross-Chain Investigation: Due to the frequent use of chain-hopping for money laundering ²⁰, forensic tools must support analysis across multiple blockchains (e.g., Solana, Ethereum, Bitcoin, BSC) and understand the mechanics of cross-chain bridges and atomic swaps.¹³
• Data Acquisition & Handling: Accessing Solana’s voluminous data requires specific methods. This includes querying RPC endpoints ⁹, potentially running nodes with Geyser plugins for real-time data streams ⁹, or utilizing indexed datasets available through platforms like Dune Analytics, Flipside Crypto, or Google BigQuery for historical analysis.⁹ Efficiently managing and processing this data is paramount.⁸
• Entity Labeling & Risk Scoring: Attributing Solana addresses to known entities (e.g., exchanges, DeFi protocols, mixers, scam projects, sanctioned actors) is vital for contextualizing activity and assessing risk.⁹ Forensic platforms maintain extensive databases of labeled addresses and employ risk scoring algorithms based on transactional history and counterparty interactions.

4.2. Specialized Forensic Platforms & Tools:

The complexity and data scale of Solana mean that investigators often rely on specialized commercial blockchain intelligence platforms that have invested in supporting the network:

• Chainalysis: A leading provider offering a suite of tools including Reactor for investigations, KYT (Know Your Transaction) for real-time monitoring, and Storyline for visualization.¹³ Chainalysis explicitly supports Solana, featuring automatic support for fungible tokens (SPL and Token-2022 standard).⁸ They have developed specific engineering solutions to handle Solana’s unique account structure, high data volume, and distinct transaction types, building a dedicated knowledge graph for the chain.⁸ Their tools were utilized in the analysis of the Slope wallet exploit on Solana.¹³ Recent additions include AI-powered tools like Rapid for law enforcement triage and enhanced real-time threat prevention capabilities through acquisitions.³⁸
• Elliptic: Offers solutions for wallet and transaction screening, VASP due diligence, and cross-chain investigations.³⁴ Elliptic covers over 50 blockchains, indicating Solana support, and provides single-click cross-chain visualization.³⁴ Their platform was used in the investigation of the Mango Markets exploit.²⁰ Elliptic emphasizes behavioral detection capabilities, identifying patterns like peeling chains or mixer usage.³⁶
• TRM Labs: Provides a platform encompassing forensics, transaction monitoring, wallet screening, and risk management for crypto businesses and law enforcement.¹⁶ TRM Forensics was used to trace the Solana-based $TRUMP token ²⁹ and has been involved in recovering funds from major DeFi exploits (though the example cited, Uranium Finance, was on BSC).¹⁹ They publish extensive research on crypto crime trends ³⁹ and offer risk attribution by linking on-chain activity to known entities.²⁹
• Arkham Intelligence: Identified as a tool used for Solana forensic analysis, focusing on tracking wallet movements, identifying suspicious activity, assessing risk, and mapping wallet identities and fund flows.⁹

Beyond these major platforms, other tools play roles in Solana investigations:

• Block Explorers: Services like Solscan, SolanaFM, XRay (by Helius), and the official Solana Explorer provide basic interfaces for looking up individual transactions and account details.⁹
• Data Platforms: Dune Analytics, Flipside Crypto, and Google BigQuery offer SQL interfaces for querying indexed historical Solana data, enabling more complex custom analysis.⁹
• Wallet Analyzers: While some tools like WalletX, CoinStats, or Birdeye analyze Solana wallets, their primary focus is often on assessing trading performance (PnL) for copy-trading purposes, rather than deep forensic investigation.³⁷
• Community & Open Source: The existence of bounties seeking the development of dedicated Solana forensic analysis tools indicates a demand for more accessible or specialized solutions beyond the major commercial platforms.³⁵

The Solana forensic tool landscape is thus characterized by powerful, proprietary platforms offered by established intelligence firms, supplemented by public data access tools and explorers. The significant investment required to build and maintain comprehensive Solana support suggests that these major providers are likely central to most high-stakes investigations.

4.3. Comparative Overview of Major Solana Forensic Tool Providers

The following table summarizes the key commercial platforms frequently utilized for Solana forensic investigations, based on the available information:

Tool Provider	Key Products/Services	Known Solana-Specific Capabilities/Use Cases	General Focus Area
Chainalysis	Reactor, KYT, Storyline, Data Solutions (DS), Rapid (AI) 13	Automatic SPL/Token-2022 support; Solana knowledge graph; Handles account structure & tx types; Slope wallet exploit analysis; High data volume processing 8	Investigations, Compliance, Real-time Threat Prevention
Elliptic	Wallet/Transaction Screening, Investigations, VASP Screening, Threat Intel 34	Mango Markets exploit analysis; Cross-chain visualization (implies Solana support within 50+ chains); Behavioral pattern detection 20	Compliance, Investigations, Risk Management
TRM Labs	Forensics Platform, Transaction Monitoring, Wallet Screening, Risk Mgmt 19	$TRUMP token tracing on Solana; Risk attribution for Solana addresses; General DeFi exploit investigation capabilities 19	Investigations, Compliance, Risk Management
Arkham Intelligence	Entity/Wallet Tracking Platform 9	Wallet movement/identity tracking on Solana; Fund flow analysis 9	Intelligence Gathering, Entity Tracking

Note: Capabilities are based on information from the provided research snippets. Direct verification with providers is recommended for the most current and comprehensive details.

5. HexForensic: Profile and Potential Solana Focus

HexForensic’s Established Expertise: Hexforensic presents itself as a specialized firm focused on the digital currency space, offering a range of critical services including forensic investigations, detailed transaction tracing, legal assistance and advisory, liaison with law enforcement agencies, asset recovery operations, production of analytical reports, and cybersecurity risk advisory.¹ The firm’s publicly highlighted research into complex areas such as analyzing Bitcoin mixing techniques employed by the Lazarus Group and exploring the traceability of Monero transactions demonstrates a significant technical capability in blockchain forensics, particularly concerning obfuscation methods.¹

The Solana Gap: Despite this demonstrated expertise in cryptocurrency forensics, the available research materials provide no direct evidence of HexForensic’s specific involvement with the Solana blockchain. As noted earlier, their research portal was inaccessible ², and their primary website lacks explicit mentions of Solana-related services, tools, or case studies.¹ Therefore, based solely on the provided information, HexForensic’s active engagement in Solana investigations or research remains unconfirmed.

Inferring Potential Engagement: Notwithstanding the lack of direct confirmation, several factors suggest that HexForensic could plausibly be involved in Solana-related forensic work:

• Alignment of Services with Market Need: The types of sophisticated financial crimes prevalent on Solana – particularly large-scale DeFi exploits resulting in substantial asset loss ¹⁵, widespread NFT rug pulls defrauding numerous investors ²¹, and complex money laundering schemes involving techniques like chain-hopping ²⁵ – create a clear and significant market demand for the exact services HexForensic specializes in, namely asset recovery, detailed investigation, and tracing.¹
• Transferable Technical Capability: HexForensic’s proven ability to conduct complex transaction tracing and analyze obfuscation techniques like cryptocurrency mixing ¹ indicates a high level of technical aptitude in blockchain forensics. While Solana’s unique architecture (non-EVM account model, PoH, high data volume) necessitates specific adaptations and potentially different tooling, the fundamental analytical skills required are transferable. An expert firm like HexForensic possesses the foundational knowledge to potentially adapt its methodologies to the Solana environment.
• Potential Areas of Focus: If HexForensic were to engage with the Solana ecosystem, its efforts would likely concentrate on areas directly aligned with its core competencies and the prominent criminal activities on the chain. This could include:
  • Investigating major DeFi hacks (similar in nature to the Mango Markets exploit) to trace stolen funds for recovery efforts.²⁰
  • Assisting victims of significant NFT rug pulls (like the Undead Apes case) by tracing perpetrator wallets and laundered proceeds.²⁴
  • Unraveling complex money laundering operations that utilize Solana as a transit point, potentially involving chain-hopping to or from other blockchains and the use of mixers.²⁵
  • Providing expert forensic reports and litigation support for legal cases arising from Solana-based fraud, theft, or disputes.¹
  • To effectively operate in this space, HexForensic would need to either leverage the major commercial forensic platforms (like Chainalysis, Elliptic, TRM Labs) that support Solana or have developed significant in-house expertise and potentially proprietary tools capable of handling Solana’s specific challenges, particularly its data scale and unique account model.

In essence, while the provided data does not confirm HexForensic’s activity on Solana, the nature of financial crime within the Solana ecosystem aligns perfectly with the firm’s specialized service offerings. Their potential involvement is therefore highly plausible, contingent upon their strategic decision to invest in the necessary expertise and tools required for this distinct blockchain environment.

6. Conclusion

Synthesis: The Solana blockchain presents a unique and demanding environment for forensic investigators. Its architecture, driven by Proof-of-History and a distinct account model featuring Program Derived Addresses and stateless programs, enables high throughput but introduces significant challenges related to massive data volumes, complex transaction origins, potential data impermanence via the rent mechanism, and noisy datasets due to high transaction failure rates. These characteristics differentiate Solana significantly from EVM-based chains and necessitate specialized analytical approaches.

Criminal Landscape: Solana has become a prominent venue for sophisticated cybercrime. Key areas requiring forensic attention include large-scale Decentralized Finance (DeFi) exploits targeting vulnerabilities in smart contracts or manipulating price oracles, widespread Non-Fungible Token (NFT) fraud, particularly rug pulls where developers abscond with investor funds, and complex money laundering operations that often leverage Solana’s speed and cross-chain connectivity for techniques like chain-hopping and mixing.

Methodological Needs: Effective investigation within the Solana ecosystem mandates the use of advanced forensic methodologies and tools. These must be capable of handling Solana’s immense data scale, parsing its unique account structures and transaction types, tracing funds across multiple blockchains, and identifying obfuscation patterns. The landscape is currently dominated by major commercial blockchain intelligence firms (Chainalysis, Elliptic, TRM Labs, Arkham Intelligence) that have invested significantly in developing Solana-specific capabilities.

HexForensic’s Position: Hexforensic possesses core competencies in digital currency investigation, asset tracing, and the analysis of complex obfuscation techniques, demonstrated through their research on other blockchains like Bitcoin and Monero. These skills are highly relevant to addressing the types of financial crime prevalent on Solana. However, the research available for this report does not provide direct evidence confirming HexForensic’s specific operational activities, proprietary tools, or published research focused on the Solana ecosystem. Their potential involvement is inferred based on the strong alignment between market needs on Solana and their established expertise, but remains unconfirmed by the provided data.

Final Recommendation: Given the lack of specific public information regarding HexForensic’s Solana capabilities in the reviewed sources, organizations seeking definitive details on the firm’s experience with Solana investigations, the specific forensic techniques and tools they employ for this ecosystem, or relevant case studies should engage directly with HexForensic for the most accurate and up-to-date information.¹

Works cited

2025 Crypto Crime Report – TRM Labs, accessed May 5, 2025, https://www.trmlabs.com/resources/reports/2025-crypto-crime-report

Hexforensic, accessed May 5, 2025, https://hexforensic.com/

accessed January 1, 1970, https://hexforensic.com/research

Blockchain Data Analytics: Review and Challenges – arXiv, accessed May 5, 2025, https://arxiv.org/html/2503.09165v1

(PDF) Solana blockchain technology: a review – ResearchGate, accessed May 5, 2025, https://www.researchgate.net/publication/382785733_Solana_blockchain_technology_a_review

Solana 101: Proof of History Explained – Purpose Investments, accessed May 5, 2025, https://www.purposeinvest.com/funds/crypto/knowledge-base/solana-101-proof-history-explained

Solana deep dive: Unpacking proof-of-history – Blockworks, accessed May 5, 2025, https://blockworks.co/news/solana-proof-of-history

What is proof of history and why does Solana use it? – The Block, accessed May 5, 2025, https://www.theblock.co/learn/302470/what-is-proof-of-history-and-why-does-solana-use-it

Chainalysis Provides Automatic Token Support on Solana, accessed May 5, 2025, https://www.chainalysis.com/blog/chainalysis-provides-automatic-token-support-on-solana/

Analyzing Solana On-chain Data: Tools & Dashboards – Helius, accessed May 5, 2025, https://www.helius.dev/blog/solana-data-tools

EVM to SVM: Accounts | Solana, accessed May 5, 2025, https://solana.com/developers/evm-to-svm/accounts

What are the Differences Between EVM and SVM? – NuFi, accessed May 5, 2025, https://nu.fi/blog/what-are-the-differences-between-evm-and-svm

Why Does My Transaction Fail? A First Look at Failed Transactions on the Solana Blockchain – arXiv, accessed May 5, 2025, https://arxiv.org/html/2504.18055v1

Chainalysis on Solana: Project Reviews, Token, Roadmap, Top …, accessed May 5, 2025, https://solanacompass.com/projects/chainalysis

A Complete History of Solana Outages: Causes, Fixes, and Lessons Learnt – Helius, accessed May 5, 2025, https://www.helius.dev/blog/solana-outages-complete-history

Stolen Crypto Falls in 2023, but Hacking Remains a Threat – Chainalysis, accessed May 5, 2025, https://www.chainalysis.com/blog/crypto-hacking-stolen-funds-2024/

DeFi, Cross-Chain Bridge Attacks Drive Record Haul from Cryptocurrency Hacks and Exploits – TRM Labs, accessed May 5, 2025, https://www.trmlabs.com/post/defi-cross-chain-bridge-attacks-drive-record-haul-from-cryptocurrency-hacks-and-exploits

Exploring Vulnerabilities and Concerns in Solana Smart Contracts – arXiv, accessed May 5, 2025, https://arxiv.org/html/2504.07419v1

Exploring Vulnerabilities and Concerns in Solana Smart Contracts – ResearchGate, accessed May 5, 2025, https://www.researchgate.net/publication/390671365_Exploring_Vulnerabilities_and_Concerns_in_Solana_Smart_Contracts

U.S. Authorities Seize $31 Million Related to Uranium Finance Hack – TRM Labs, accessed May 5, 2025, https://www.trmlabs.com/post/u-s-authorities-seize-31-million-in-uranium-finance-exploits-investigation?utm_source=Securitylabru

Mango Market exploit: DeFi loses nearly $900 million to hackers in …, accessed May 5, 2025, https://www.elliptic.co/blog/analysis/mango-market-exploit-defi-loses-nearly-900-million-to-hackers-in-costliest-30-days-on-record

Fraud Risks in the Market for Nonfungible Tokens – The CPA Journal, accessed May 5, 2025, https://www.cpajournal.com/2025/01/08/fraud-risks-in-the-market-for-nonfungible-tokens/

NFT Fraud & Rug Pulling Schemes – aegisinteraktifasia.com, accessed May 5, 2025, https://www.aegisinteraktifasia.com/insights/nft-fraud-rug-pulling-schemes

What Are NFT Rug Pulls? How To Protect Yourself From NFT Fraud? – Kaspersky, accessed May 5, 2025, https://www.kaspersky.com/resource-center/preemptive-safety/nft-rug-pulls

Archived: 2 Charged With NFT Money Laundering, ‘Rug Pull’ of Digital Blockchains | ICE, accessed May 5, 2025, https://www.ice.gov/news/releases/2-charged-nft-money-laundering-rug-pull-digital-blockchains

Middle District of Florida | Jury Finds Non-Fungible Token Developer …, accessed May 5, 2025, https://www.justice.gov/usao-mdfl/pr/jury-finds-non-fungible-token-developer-guilty-defrauding-investors-and-laundering

Money laundering | TRM Glossary, accessed May 5, 2025, https://www.trmlabs.com/glossary/money-laundering

Cryptocurrency – Internet Crime Complaint Center (IC3), accessed May 5, 2025, https://www.ic3.gov/CrimeInfo/Cryptocurrency

Money laundering through cryptocurrencies – UNODC Synthetic Drug Strategy, accessed May 5, 2025, https://syntheticdrugs.unodc.org/syntheticdrugs/en/cybercrime/launderingproceeds/moneylaundering.html

Tracing $TRUMP: The Latest Memecoin on Solana | TRM Blog, accessed May 5, 2025, https://www.trmlabs.com/resources/blog/tracing-trump

From UAVs to Sanctions Evasion: How the Houthis Use Crypto – TRM Labs, accessed May 5, 2025, https://www.trmlabs.com/resources/blog/from-uavs-to-sanctions-evasion-how-the-houthis-use-crypto

Finance and Security in Brief: Tackling Crypto Sanctions Evasion – RUSI, accessed May 5, 2025, https://my.rusi.org/resource/finance-and-security-in-brief-tackling-crypto-sanctions-evasion.html

Cryptocurrencies and U.S. Sanctions Evasion: Implications for Russia – CSIS, accessed May 5, 2025, https://www.csis.org/analysis/cryptocurrencies-and-us-sanctions-evasion-implications-russia

The Daily: Solana’s inflation-cutting proposal fails to pass, Russian oil companies reportedly using crypto to circumvent sanctions and more | The Block, accessed May 5, 2025, https://www.theblock.co/post/346412/the-daily-solanas-inflation-cutting-proposal-fails-to-pass-russian-oil-companies-reportedly-using-crypto-to-circumvent-sanctions-and-more

Elliptic: Blockchain Analytics & Crypto Compliance Solutions, accessed May 5, 2025, https://www.elliptic.co/

Solana Forensic Analysis Tool – Superteam Earn, accessed May 5, 2025, https://earn.superteam.fun/listing/solana-forensic-analysis-tool/

Cross-Chain Crypto Investigations – Trace Illicit Activity – Elliptic, accessed May 5, 2025, https://www.elliptic.co/solutions/investigations

List of 7 Best Solana Wallet Analyzer – ZenLedger, accessed May 5, 2025, https://zenledger.io/blog/best-solana-wallet-analyzer/

Chainalysis Adds Fraud/Hack Prevention, Enhances Investigations and Compliance, accessed May 5, 2025, https://www.chainalysis.com/blog/real-time-fraud-hack-prevention-investigations-compliance/

Illicit Crypto Ecosystem Report – TRM Labs, accessed May 5, 2025, https://www.trmlabs.com/resources/reports/the-illicit-crypto-ecosystem-report-2022