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Federal judge dismissed fraud claims against Uniswap for the second time
Ruling establishes that neutral infrastructure providers are not liable for bad actors exploiting their tools
Decision has implications beyond crypto, applying a principle similar to not suing the NYSE for fraudulent stock sales
Courts distinguish between operating lawful infrastructure and materially assisting specific fraudulent schemes.
Deep Dive
A federal judge in New York has dismissed fraud claims against Uniswap for the second time, a decision with broad implications for platforms providing neutral infrastructure. The ruling by Judge Katherine Polk Failla establishes that such platforms cannot be held liable when bad actors exploit their tools for fraudulent activities, drawing a parallel to not suing the New York Stock Exchange for fraudulent stock sales.
Investors who lost money on tokens traded via Uniswap's interface attempted to hold the protocol developers liable by framing the provision of market infrastructure as "aiding and abetting" fraud. Judge Failla had previously rejected this argument in August 2023, stating plaintiffs were seeking a scapegoat. The Second Circuit affirmed the dismissal of federal securities claims in February 2025, deeming it illogical to hold smart contract developers responsible for third-party misuse of their platforms. Despite this, plaintiffs filed a second amended complaint in May 2025, focusing on state-law theories. They alleged that over 98% of tokens traded on the interface were scams and that Uniswap had collected over $100 million in fees from this activity. Failla dismissed these claims this month, reportedly with prejudice, setting the stage for a potential precedent-setting appeal.
The legal principle at play, which predates cryptocurrency, requires specific knowledge of wrongdoing and substantial assistance that materially aids the fraud for secondary liability. Providing general-purpose infrastructure that is also used for illicit purposes does not meet this standard. The Supreme Court's reasoning in Twitter v. Taamneh, which rejected holding social media platforms liable for terrorism simply because terrorists used their services, is cited as analogous. Judge Failla's opinion suggests that if anonymity in financial markets requires regulation, that decision rests with Congress, not with tort litigation. Courts apply existing law, while legislatures create new rules.
The "make the toolmaker pay" argument frequently appears in technology litigation, with app stores, AI companies, and payment processors facing similar claims. Plaintiffs often target platforms with assets when actual wrongdoers are unrecoverable. However, treating infrastructure providers as insurers could lead to significant distortions. Chainalysis estimates that crypto scams and fraud reached $17 billion in 2025. If liability were assigned to access layers instead of perpetrators, platforms might have to increase fees substantially or restrict access, counteracting the principles of decentralized systems. Even a small liability exposure could lead to material cost increases or strict curation.
While neutral tools may retain liability protection, curated platforms face different challenges. Features like featured token lists, promoted trading pairs, and recommended swap interfaces involve editorial judgment, which plaintiffs could argue implies knowledge and assistance. This pressure may lead interfaces to either remove curation entirely or implement extensive compliance measures, such as token allowlists, denylists, risk warnings, and geographic gating, all of which incur costs. Some platforms might opt to operate as purely neutral rails to minimize liability, though this could reduce user benefits derived from curation and quality filters.
| Feature / behavior | Neutral infrastructure or curated? | Knowledge signal | Assistance signal | Why plaintiffs target it | Likely defense framing |
|---|---|---|---|---|---|
| Uncurated swap interface / generic routing | Neutral | Low | Low | Deep-pocket “rails” defendant; argues access = facilitation | General-purpose tool used for lawful + unlawful activity; no specific knowledge; no material assistance |
| Public warnings / terms-of-service disclosures | Neutral | Low | Low | Tries to argue warnings were inadequate or misleading | Disclosures defeat deception/omission theories; information not unique/nonpublic; users assumed risk |
| Featured token lists | Curated | Med–High | Med | “You highlighted it” → implied endorsement; curation as participation | UI sorting ≠ guarantees; no specific knowledge of fraud; standard informational display |
| Promoted pairs / paid placements | Curated | High | High | Closest to “substantial assistance” + motive; looks like sponsorship | Clear labeling + separation of ads vs listings; no involvement in issuer misreps; compliance controls mitigate |
| “Recommended” swaps | Curated | Med–High | Med–High | Recommendation suggests suitability/endorsement; reliance + causation angle | Recommendations are algorithmic UX defaults, not advice; disclaimers; no knowledge of specific scheme |
| Default routing algorithm optimizations | Gray zone (lean curated) | Med | Med | Plaintiffs claim routing “steered” them to scam liquidity | Routing optimizes execution (price/liq), not token quality; content-neutral; no issuer coordination |
| Allow/deny lists (token gating) | Compliance-heavy (both) | Med | Low–Med | If you can block, plaintiffs argue you had control/notice duties | Risk controls reduce harm; lists are prudential safety measures; absence of listing ≠ endorsement; still no specific fraud knowledge |
| Manual token review / “verified” badges (if applicable) | Curated | High | High | “Verification” implies diligence + reliance | Verification scope is narrow (e.g., contract match), not investment quality; explicit criteria + disclaimers |
| Customer support escalation / internal reports handling | Neutral (process) | Med–High (post-notice) | Low–Med | Plaintiffs argue notice = knowledge; failure to act = assistance | Timing matters: notice often after losses; no conscious avoidance; reasonable response policies |
| Fee design tied to specific pairs/tokens (if applicable) | Gray zone | Med | Med | Argues profit motive from fraud + incentive to keep listings | Fees are transaction-based and content-neutral; no special relationship with issuers; not tied to misrepresentations |
Judge Failla's rulings clarify that generalized awareness of bad actors using a system does not equate to specific knowledge of particular scams. The distinction is made between operating lawful infrastructure that is also accessed by scammers and materially assisting specific fraudulent schemes. This preserves the ability to build general-purpose tools without underwriting every potential misuse, akin to hardware stores not being liable for how hammers are used. The core question remains whether digital infrastructure warrants the same treatment or if internet-scale fraud necessitates new solutions. Plaintiffs are expected to appeal, and if the Second Circuit affirms, it will solidify a clearer safe harbor for interface developers and infrastructure providers, potentially directing investment towards permissionless systems with reduced tail risk. Conversely, a reversal or legislative intervention could shift the compliance burden, increase costs, and drive innovation to jurisdictions with more predictable rules.
The immediate next step involves federal civil appeals, typically filed within 30 days of judgment, which will determine if this ruling becomes binding law. The broader policy question, as highlighted by Failla, is whether current laws adequately address anonymity and platform liability in financial markets, a decision that rests with lawmakers. The current standard of knowledge plus substantial assistance protects toolmakers of neutral systems and directs victims to pursue actual wrongdoers. However, as scams become more industrialized, the adequacy of this standard is being questioned. Judges interpret existing law, while elected officials write new statutes. The outcome will significantly influence who bears the burden of internet-scale fraud losses, with platforms often being the most visible targets, even if visibility does not equate to liability.
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