@vittoriomaisano@PrimordialAA@LayerZero_Labs The Vantablack Suit report on identifying Sybil wallets has key flaws:
1. Referral Codes: Multiple users can use the same referral code, which doesn't confirm Sybil behavior.
2. Balance & Transactions: Filtering by balance and transaction counts might exclude genuine users.
Bryan,@PrimordialAA@LayerZero_Labs, thank you for your respond but I need to duplicate to form a clear position on this report. Please conduct an additional, more thorough check. Either reduce it or exclude this report. https://t.co/ypyBpNrZ7C
Here are some arguments:👇
Thank you for your work and openness to the community!
Since the community has the opportunity to speak out, I will take advantage of this. Nansen and Chaos did an excellent job, with minimal false-positive filters. However, it is difficult to agree with many of the community reports, and I want to add my comments to some of the reports, including one that I myself was affected by.
https://t.co/E1sIovEVb3
Based on my social circle and community (about 6k people), there are a lot of false-positive results in this report because many people used the Bungee product, where the maximum transferable tokens per transaction are limited, and it was often necessary to use multiple transactions in a row with the same (maximum) amount. The use of any software has nothing to do with it.
https://t.co/czlGd7yt0z
Finding sybils through public software is a great idea, but using the software does not make the user a sybil. This is a great starting point for further searches, but there is no evidence that everyone who used the software is a sybil, as this can be done with a single account (a farmer is not equal to a sybil) or by using a referral link, not the software.
https://t.co/dw2S4rmy4U
My wallet was included in one of the clusters of this report, but I have no relation to the other wallets, and I ask you to reconsider it. The search is not too detailed, and there are many false-positive results.
@PrimordialAA https://t.co/HTZ9zHBSZu
method based on a 1 parameter may be useful as a preliminary step or as a complementary tool, but multivariate analysis must be used to achieve high accuracy and reliability.
1 parameter doesn’t provide enough context, and users are mistaken for attackers
@PrimordialAA https://t.co/HTZ9zHBSZu
This report lists ALL users who used Bungee Refuel several times in a row, without any additional consideration or identification of user clusters among this group.
@PrimordialAA https://t.co/pfA0TKDSxx
report has key flaws:
5. Filtering Thresholds: Arbitrary thresholds lack empirical justification.
6. Action Filters: Actions like 'mint' and 'swap' are common in legitimate transactions, not just Sybil attacks.
@PrimordialAA https://t.co/pfA0TKDSxx
4. Project Interactions: Multiple interactions don’t necessarily indicate Sybil behavior; active DeFi users can exhibit similar patterns.
More robust, evidence-based methods and extensive manual validation are needed to accurately identify Sybil wallets.
@PrimordialAA https://t.co/pfA0TKDkHZ
The report has key flaws:
3. Balance & Transactions: Filtering by balance and transaction counts might exclude genuine users.
Conclusion: More robust, evidence-based methods and extensive manual validation are needed to accurately identify Sybil wallets.
@PrimordialAA https://t.co/pfA0TKDkHZ
2. Transaction History: Heavy reliance on automated scripts with unclear manual validation risks false positives.
Conclusion: More robust, evidence-based methods and extensive manual validation are needed to accurately identify Sybil wallets.
@PrimordialAA https://t.co/pfA0TKDkHZ
report has key flaws:
1. Referral: Multiple users can use the same referral code, which doesn't confirm Sybil behavior.
Conclusion: More robust, evidence-based methods and extensive manual validation are needed to accurately identify Sybil wallets.
Is the zkSync network dying like StarkNet?
3 days have passed since the announcement of the distribution from zkSync, and after that activity on the network dropped below the bottom. Now
less than 100 txs/day, which is reminiscent of StarkNet with its 6-7 transactions per day
Join us for an exclusive podcast discussion on this major shift. @Savannah_fortis will dive deep into:
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💸 What this means for the prices of $LUNA and $LUNC
https://t.co/LxW8wt0LY9
Bybit is a large exchange, but instead of protecting the community, you supported a project to defraud the community, ZK, which was listed on ByBit. As users, we are very disappointed in your actions. Calling on everyone who was treated unfairly by ZK to rate Bybit exchange 1 star and withdraw all money from this exchange. Let's speak up strongly for ourselves. #zkscam