OAK — OnChain Attack Knowledge

Worked example · 2024-05

Address Poisoning — Ethereum — 2024-05-03 ($68M WBTC, returned)

Loss
~$68M in WBTC.
Outcome
the attacker returned the ~$68M to the victim approximately six days later, following a public bounty negotiation.
Operator-campaign net (per Chainalysis)
~$1.49M across the broader 66-day campaign, representing a 1,147% ROI on campaign cost.
OAK Techniques observed
OAK-T4.003 (Address Poisoning) — primary; OAK-T6 (Defense Evasion) — modifier: the lookalike-address technique exploits the truncated-display attack surface in wallet UIs, defensively evading the standard "verify-the-address-before-signing" trust workflow that careful holders use as a load-bearing transfer-time control. T4.003 lists OAK-T6 as a secondary parent tactic for exactly this structural reason — the on-chain transfer is authorised by the user; the defense-evasion lives at the wallet-UX layer where the user verification surface is the load-bearing baseline.
Attribution
pseudonymous — pseudonymous attacker (campaign cluster identifiable via OAK-T8.001 funder-graph methods); no public named-individual attribution.
Key teaching point
This case is OAK's modern canonical T4.003 example because the forensic record is complete, the campaign-level metrics are published, and the wallet-UX-layer mitigation is unambiguously the responsible defensive control. Contributors writing other T4.003 examples should preserve the headline-event vs campaign-context distinction — $68M is the single-event loss but $1.49M is what the operator actually retained, and that gap is the analytical insight defenders need to operationalise wallet-vendor and risk-team T4.003 tooling.

Summary

On May 3, 2024, a high-balance Ethereum wallet (0x1E227…) initiated a legitimate transfer to a counterparty address (0xd9A1b…) at 09:14 UTC. Later in the day the same victim wallet sent approximately $68M in WBTC to a poisoned lookalike address (0xd9A1c…) — visually similar to the legitimate counterparty if only the first six characters are checked. Chainalysis's forensic write-up [chainalysis2024poisoning] reconstructs the campaign as having been active for approximately 66 days prior to the headline event, during which the operator earned approximately $1.49M from smaller successful poisonings — a 1,147% ROI on campaign infrastructure cost. Following the headline event, the victim sent a series of on-chain message transactions to the attacker address negotiating return; the attacker returned the full $68M six days later (May 9, 2024), retaining only the prior-campaign earnings.

For OAK's purposes, this is the canonical T4.003 case because (a) the headline single-victim loss is the largest publicly-documented address-poisoning event, (b) Chainalysis's forensic write-up is published and complete, and (c) the campaign-level ROI metric is a textbook illustration of why operators run sustained poisoning campaigns rather than one-off attacks.

Timeline (UTC)

When Event OAK ref
2024-02-28 Operator campaign begins (per Chainalysis reconstruction) T4.003 campaign setup
2024-05-03 ~09:14 Victim wallet 0x1E227 sends a legitimate transfer to counterparty 0xd9A1b (legitimate counterparty interaction)
2024-05-03 (later) Operator front-runs / poisons the victim's wallet history with a lookalike address 0xd9A1c that visually matches 0xd9A1b in the truncated-display attack surface T4.003 setup (poisoned history entry)
2024-05-03 (later) Victim copies the poisoned address from wallet history and sends ~$68M in WBTC to 0xd9A1c T4.003 extraction
2024-05-03 onward Victim sends on-chain message transactions to attacker negotiating return (recovery)
2024-05-09 Attacker returns ~$68M to victim, retains the prior-campaign ~$1.49M (resolution)

What defenders observed

  • Pre-event (campaign-level): the operator had been active for approximately 66 days, earning small per-victim amounts via the same lookalike-address pattern. A wallet-vendor or risk-team poisoning-campaign watchlist that had been tracking the operator's spender address would have flagged any inbound transfer from the operator into the headline victim's wallet history weeks before the extraction event.
  • At-event (wallet-UX layer): the failure mode was the victim copy-pasting an address from wallet history without verifying the full address. The truncated-display surface (most wallet UIs show only the first 6 and last 4 characters by default) was the vulnerability that the attacker engineered against. A wallet-UX intervention requiring full-address verification for sends above a threshold would have prevented this single event.
  • Post-event: the victim's negotiation-via-on-chain-messages and the attacker's return are the recovery layer — unusual for T4.003 cohort overall but observed for headline-magnitude single events where the attacker faces disproportionate legal exposure relative to the prior-campaign earnings.

What this example tells contributors writing future Technique pages

  • T4.003 detection lives at the wallet UX, not on-chain. No on-chain authority was granted to the attacker; the victim authorised the transfer themselves. Defender intervention must happen at the wallet UI before the user signs. Contributors writing future T4.003 examples should make the on-chain-vs-UX-layer distinction explicit.
  • Campaign-level ROI is the operator's metric, not single-event loss. Operators run T4.003 campaigns over weeks-to-months, accruing many small wins; the headline event is the upper tail of the distribution. Risk teams and wallet vendors evaluating T4.003 detection should target the campaign-cluster level rather than the per-event level.
  • Negotiation-via-on-chain-messages is rare but real. Most T4.003 events do not produce recovery; the headline events occasionally do. Contributors should not characterise post-event recovery as the norm.

Public references

Discussion

This case is OAK's modern canonical T4.003 example because the forensic record is complete, the campaign-level metrics are published, and the wallet-UX-layer mitigation is unambiguously the responsible defensive control. Contributors writing other T4.003 examples should preserve the headline-event vs campaign-context distinction — $68M is the single-event loss but $1.49M is what the operator actually retained, and that gap is the analytical insight defenders need to operationalise wallet-vendor and risk-team T4.003 tooling.

The Tsuchiya et al. 2025 USENIX Security cohort ([tsuchiya2025poisoning]) provides the academic baseline for class scale (~17.3M poisoning transfers since April 2023). The Chainalysis case study above and the academic cohort are complementary references: contributors writing T4.003 work should cite both for class-scale-and-individual-event grounding.

Techniques demonstrated (2)