How to qualify for the Sui airdrop in 2026 without getting sybil-flagged
How to qualify for the Sui airdrop in 2026 without getting sybil-flagged
Sui has one of the more active developer ecosystems in crypto right now, and a number of protocols building on it are still pre-token. that means the window for qualifying for ecosystem airdrops, whether from DeFi protocols, gaming layers, or infrastructure projects, is open. the problem is that every airdrop cycle since 2022 has come with a harder sybil filter, and operators who run copy-paste playbooks from last cycle keep getting cut.
this guide is for people already running multi-wallet airdrop operations who want to farm Sui ecosystem protocols without having their wallets flagged and excluded. i am not going to tell you to create fake identities or bypass KYC, both of which are illegal and outside scope here. what i am going to do is walk you through how to operate wallets in a way that produces organic-looking on-chain behavior, because that is genuinely what the filters are looking for, and genuinely what legitimate participants do anyway.
if you follow this correctly, you end up with wallets that have real transaction history, real token balances, real protocol interactions, and behavioral patterns that hold up against graph analysis. that is the outcome. it takes time and some upfront spend. there are no shortcuts that reliably work across multiple cycles.
what you need
wallets and accounts - Sui Wallet or Suiet browser extension, one per browser profile - a hardware wallet (Ledger Nano X, ~$149) for any wallet holding significant funds - separate browser profiles, one per wallet, managed through a browser that supports profile isolation
infrastructure - residential proxies, rotating or sticky depending on step. proxyscraping.org/blog/ has a solid breakdown of residential vs. datacenter tradeoffs for on-chain work; residential is worth the extra cost here given how Sui protocols do IP correlation - an antidetect browser if you are running more than ~10 wallets. Multilogin and AdsPower are the common choices. antidetectreview.org/blog/ has current pricing comparisons - a spreadsheet or Notion database to track wallet activity dates, tx hashes, balances
SUI for gas and positions - minimum ~5 SUI per wallet to cover gas and small protocol deposits. at current prices budget at least $15-25 per wallet for setup, more if you want meaningful positions - a CEX account in your own name to off-ramp and on-ramp. do not skip this, the funding trail matters
knowledge prerequisites - basic familiarity with the Sui developer documentation and how Move objects work. you do not need to write Move, but understanding that Sui uses an object model rather than account model changes how you think about wallet state - understanding of what sybil detection actually looks for (covered below)
step by step
step 1: set up isolated browser environments
for each wallet, create a fully isolated browser profile with its own proxy. if you are using an antidetect browser, create a new profile, assign a sticky residential IP in a geography that makes sense (Singapore, US, EU are fine), and set the user agent to match a real device fingerprint.
expected output: each profile has a unique fingerprint, unique IP, unique cookie store. no shared state between profiles.
if it breaks: if your antidetect browser shows WebGL or canvas fingerprint leakage, check the profile settings. most tools have a “real fingerprint mode” that pulls from an actual device database rather than randomizing, which looks more legitimate.
step 2: create and fund wallets with non-uniform timing
install Sui Wallet fresh inside each browser profile. write down the seed phrase offline, not in a password manager shared across profiles.
fund each wallet from your CEX, but do not do it all at once. stagger deposits across 3-7 days, vary the amounts slightly (not round numbers like exactly 10 SUI every time), and vary the time of day. sybil filters routinely look at deposit clustering, and batch-funding 50 wallets on the same afternoon from the same CEX withdrawal address is one of the clearest signals.
# example funding pattern (pseudocode for your tracking sheet)
wallet_1: funded 2026-05-12 09:14 SGT, 7.3 SUI
wallet_2: funded 2026-05-13 22:40 SGT, 5.8 SUI
wallet_3: funded 2026-05-15 14:07 SGT, 9.1 SUI
expected output: wallets funded with varied amounts and timestamps spread across at least several days.
if it breaks: if your CEX flags repeated withdrawals to new addresses, consolidate to a mid-chain wallet first, then distribute. keep the mid-chain wallet in your own name.
step 3: build baseline Sui transaction history before touching any airdrop targets
before you touch any protocol you are farming, spend a week building organic-looking history. send small amounts between your wallets and a personal “hub” wallet. interact with the Sui Name Service (SuiNS) to register a name on at least some wallets. mint a few free NFTs from Sui ecosystem projects.
the point is that a wallet created today and immediately used to farm protocol X looks different from one that has had 30 transactions over 6 weeks.
expected output: each wallet has 20-40 transactions, varied types, spread across time before you touch the target protocol.
if it breaks: if SuiNS registration fails with a gas error, you need a slightly higher SUI balance. the registration cost fluctuates but plan for at least 1 SUI.
step 4: identify current Sui ecosystem airdrop targets
as of mid-2026 the protocols worth tracking are those with active TVL, no token yet, and VC backing (which creates incentive to do a community distribution). check the Sui ecosystem page and community forums regularly. do not rely on Twitter threads that promise “confirmed airdrop,” look for protocols where the foundation or team has explicitly said tokenization is planned.
document your targets. for each one, read their docs to understand what interactions they actually reward. most protocols post their criteria or at least give hints.
expected output: a list of 3-6 target protocols with documented interaction criteria.
if it breaks: if a protocol has no public documentation of airdrop criteria, that is fine, but prioritize protocols that do, since you can optimize toward their actual metrics.
step 5: interact with each target protocol organically
this is the main event. the goal is to look like a real user, which means interacting across multiple sessions, varying transaction sizes, not hitting the same dollar amounts across all wallets on the same day.
for a lending protocol like Navi or Scallop on Sui, that means: - supply assets in one session - come back two days later and borrow a small amount - repay partially a few days after that - interact again the following week
for a DEX like Cetus Protocol, it means making swaps on different days, providing liquidity, adjusting the position, not just one swap and done.
# using sui CLI to check your wallet's object state (useful for auditing activity)
sui client objects --address YOUR_WALLET_ADDRESS
expected output: each target protocol shows interaction across multiple weeks, multiple transaction types, non-uniform amounts.
if it breaks: if a protocol’s frontend is down, check if they have a working testnet or try the interaction directly via their SDK. gaps in activity are fine. what looks bad is a burst of activity followed by nothing.
step 6: maintain positions through the snapshot window
most protocols snapshot at an undisclosed time. maintaining positions for longer increases the probability of being in-snapshot. do not withdraw everything after a few interactions and consider the job done. keep at least some assets deployed in each protocol for 60-90 days minimum.
set a weekly reminder to check each wallet’s positions and do at least one small interaction per week per protocol.
expected output: consistent on-chain presence over a multi-month window.
if it breaks: if you forget a wallet and it has had no activity for 4+ weeks, do not panic-transact in a burst. ease back in with one transaction, wait a few days, do another.
step 7: document everything and check for cross-wallet contamination
at the end of each week, update your tracking sheet. columns: wallet address, protocols active in, last interaction date, current balance, funding source. this is how you catch problems before they compound.
cross-wallet contamination, where the same proxy IP touches two wallets, or where you accidentally send funds between farming wallets directly, is one of the most common ways otherwise clean operations get cluster-flagged.
# example tracking row
| 0xabc...123 | Cetus, Navi | 2026-05-17 | 6.2 SUI | Binance via hub wallet |
expected output: a clean audit trail. no shared IPs, no direct inter-wallet transfers, no round-trip funding patterns.
if it breaks: if you discover contamination (e.g., two wallets shared an IP), note it but do not try to “fix” it by moving funds around. flag those wallets as lower-confidence and reduce your position in them.
common pitfalls
batch-funding on the same day. this is the single biggest mistake i see. the on-chain graph shows 40 wallets all funded from the same address within a 6-hour window. you do not need to be a data scientist to flag that cluster. spread funding over weeks.
identical transaction amounts. if every wallet supplies exactly 5 USDC and swaps exactly 2 SUI, you have a pattern. real users do not behave like that. add noise to your amounts.
touching targets immediately after funding. a wallet that was created, funded, and then used to interact with a farming target within the same day, with no other history, is the simplest sybil pattern there is. build history first.
ignoring IP hygiene. datacenter IPs are near-worthless for this. many protocols log the IP that signed transactions via their frontend. residential proxies from providers like Bright Data or Oxylabs cost more but are worth it. the multiaccountops.com/blog/ has a useful breakdown of proxy tier tradeoffs for this kind of work.
over-optimizing toward known criteria. if a protocol posts that they reward users with more than 10 transactions, do not make exactly 11 on every wallet. that creates a new cluster signal. exceed the threshold naturally.
scaling this
10 wallets: manageable manually. a spreadsheet, a residential proxy per wallet, one browser profile per wallet in a standard antidetect browser. budget roughly $300-500 in SUI across all wallets plus $50-100/month in proxy costs.
100 wallets: you need automation for the tracking layer and the interaction layer. consider scripting routine interactions using the Sui TypeScript SDK for actions that do not require frontend. proxy costs become meaningful (~$200-400/month depending on provider). you also need a more disciplined process for funding, since 100 wallets funded from a single CEX account will look unusual. consider splitting across two or three CEX accounts in your name. this is not legal/tax advice, but talk to an accountant about how you are tracking cost basis across this many wallets before you scale.
1000 wallets: this is infrastructure-level. you need dedicated proxy pools, a database rather than spreadsheet for tracking, and careful thought about wallet clustering at every layer. the operational overhead of keeping 1000 wallets active organically across 6+ protocols is significant. most operators at this scale specialize in fewer protocols rather than spreading thin, and accept that some wallets will be flagged regardless.
where to go next
- How to use residential proxies for multi-wallet farming on EVM chains covers the proxy setup in more depth, including how to structure sticky vs. rotating sessions for on-chain work
- Cetus Protocol liquidity farming guide 2026 goes deep on the specific mechanics of one of the highest-TVL Sui DEXes, including how to read their points program criteria
- back to the /blog/ for the full index of protocol guides
Written by Xavier Fok
disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-05-19.