Will Multiple Wallets Get Flagged as Sybils? 2026 Anti-Sybil Case Studies

Airdrops · 2026-05-30 · 比特三棱镜编辑部
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The question “will fifty wallets multiply my airdrop returns” has a fundamentally different answer in 2026 than it did in 2022. Three years ago batch addresses reliably stacked extra returns, but starting in 2024 anti-sybil work moved from being outsourced to one or two consulting firms into project teams running an in-house onchain behavior analytics stack. The result is that profitable sybil farmers are rarer, and every major drop now zeros out a large batch of wallets at once. This guide uses three public cases to take that apart.

Multi-wallet airdrop versus anti-sybil detection illustration, network graph style

“Getting flagged” is actually three layers

It is not one action, it is three:

  • Can the link be detected (technical layer, almost always yes)
  • Will it get zeroed (strategic layer, depends on how much the team is willing to cut)
  • Can you appeal (community layer, almost no room)

The first layer was solved in 2024. Nansen, Arkham, and Trusta Labs’s onchain graph algorithms surface over 95% of related wallets. The second layer is where the actual game lives, and it depends on how much community backlash the team will absorb. The third layer never got solved, and zeroed wallets have essentially zero appeal success rate.

If sybil attacks themselves are new to you, start with /en/tutorial/what-is-sybil-attack-airdrop.html.

Case one: EigenLayer’s two cull waves

EigenLayer was one of the most watched projects of 2024-2025 and ran the most intricate airdrop design. Both of its drops produced very public sybil data.

Round one (May 2024):

  • Roughly 700k stake-eligible addresses.
  • About 42k addresses (6%) publicly cut, citing “matching behavior patterns and linked fund paths”.
  • Cut allocation was redistributed to remaining addresses, so community sentiment was net positive.

Round two (October 2025):

  • Introduced a new dimension: actual EigenDA usage, downweighting pure staker addresses.
  • Roughly 110k addresses cut, the leading label being “batch initiation plus cross-chain path matching plus time-window resonance”.

The most painful detector for farmers was the round-two “time-window resonance” check: a batch of addresses performing the same action within a 24-hour window, even with fund paths obfuscated, the behavior alone was enough to convict.

Case two: the zkSync “Y2K massacre”

zkSync’s June 2024 drop was the most controversial of the three years, but the post-mortem anti-sybil report they later published is one of the most educational documents in the field.

The ZK Nation algorithm core included:

  • Funding graph. Initial ETH source: if 200 wallets all fund from the same OKX address within 10-minute windows, auto-flag.
  • Behavior sequence. Cross-dApp action sequences with very high consistency (same dApp set, same order, same intervals) get bundled as one cluster.
  • Gas style. Gas price settings, approve intervals, transaction confirmation waiting times - the “unconscious small habits of a human” - machine-driven operations expose themselves.

Final cut exceeded 800k addresses, concentrated in studio batches in mainland China and Southeast Asia.

The headline lesson from zkSync: even with three-layer bridging and a month of cooldown, if behavior timing aligns, the funding graph can be reconstructed backward. In other words, where the money came from matters less than what was done and when.

Case three: StarkNet’s “personality split” filter

StarkNet’s February 2024 STRK drop took a different route. They did not do mass post-mortem cuts like zkSync, they ran filtering during pre-snapshot eligibility scoring.

Core dimensions:

  • Cross-chain behavior consistency. Ethereum mainnet, Arbitrum, and other L2 activity formed the base score. A wallet with heavy StarkNet activity but blank elsewhere got downweighted directly.
  • GitHub / developer credentials. Developer-side addresses got special weighting, diluting the pure farmer share.
  • Legacy DeFi positions. Yearn, Curve, Aave holdings entered the “real DeFi user” judgment.

Farmers joked this was “personality split detection” - one glance tells whether the wallet’s persona is coherent.

EigenLayer, zkSync, StarkNet anti-sybil strategies side by side

Why multi-wallet barely pays after 2026

Distilling the three cases, anti-sybil has entered a parallel mode of “pre-filtering plus large-scale post-zeroing”:

Team posture 2022 2024 2026
Sybil filtering Occasional Most All
Average zeroed share 5% 15-25% 30-50%
Algorithm published No Partial Mostly yes
Appeal channel None Formal only Yes but < 1% success

This means if you manage 50 wallets, only 20-25 survive on average, and each survivor’s allocation is downgraded because they were labeled “farm-linked”. A single real-user wallet may end up with more than 25 downgraded small wallets combined.

Why some farmers still succeed at scale

They exist, but what they do is different from what most people imagine. The ones who scale stably are not doing technical obfuscation, they are doing identity-layer realification. Concretely:

  • Each wallet maps to a real person (family, friends, hired contractors), with separate KYC, devices, IPs, and habits.
  • Funding sources fully dispersed, not from one CEX, using “naturally distinct” channels like salary or merchant settlements.
  • Each account has real non-airdrop usage history, like real DeFi borrows or real NFT trades.

This is “stacking real headcount”, the barrier is organizational capacity plus legal risk, not technical skill. An individual cannot replicate it.

If you only run 2-3 wallets, where is the line?

Many readers are not running a studio, they just have “spouse’s wallet plus mine plus a backup”. That is entirely reasonable as long as:

  • No fund-path crossing. Different ETH sources, different CEXs, different times.
  • No behavior synchronization. Two wallets should not always perform the same action set the same day.
  • Distinct real use. One wallet DeFi-heavy, one NFT-heavy, one stablecoin-heavy.

A structure like this rarely gets flagged under any team’s detection, because the behavior graph reads as “two different people”.

What if you do get cut

Directly: almost no recovery space. But if you believe it is a false positive, there are two paths:

  • Submit the team’s official dispute form (EigenLayer, StarkNet, zkSync all have one, success rate < 1%).
  • Submit counter-evidence on GitHub (zkSync published the cut-address list and accepts PR appeals, a few dozen addresses were actually restored).

To avoid getting hit next time, /en/tutorial/how-do-people-get-hundreds-of-airdrops.html shows how top players actually structure accounts.

Post-cut appeal path and success-rate illustration

Do not conflate “technically possible” with “worth doing”

Technical evasion room has always existed, but the 2026 payoff ratio no longer supports studio-scale batching for retail players. Three years ago 50 wallets had 30-40x the single-wallet expectation, in 2026 that number is down to 5-8x while capital lockup, time cost, and tail-risk zeroing have not improved. Going deep on one wallet and treating it as a real persona is the rational direction now. For a wider arc of how airdrop farming has evolved, see /en/tutorial/airdrop-guide.html and /en/tutorial/improving-airdrop-eligibility-strategy.html.