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REVIEW 3 major objections 4 minor 66 references

BRC20 Snipping Attack

T0 review · 3 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read The paper claims that any unconfirmed BRC20 purchase made through a PSBT-based marketplace can be displaced by an attacker who copies the transaction's transfer metadata and rebroadcasts it with a higher fee, defeating 'highest bidder…

desk verdict A competent formalization of PSBT-based BRC20 transfers is undermined by an invalid central attack: the experiment spends an input the attacker cannot sign, and the signature-transplant mechanism is never established. read the letter →

arxiv 2501.11942 v1 pith:5VGO5ZDV submitted 2025-01-21 cs.CR

classification cs.CR
keywords BRC20PSBTmempoolsnippingfront-runningBitcointransactionstransactionfeereplacementmarketplacesecurityinscriptions
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper claims that the standard PSBT-based workflow for buying BRC20 tokens on open Bitcoin marketplaces can be hijacked by a snipping attack. An attacker who sees a pending purchase in the mempool copies its BRC20 transfer inscription and seller payment, builds a competing transaction with a higher miner fee, and broadcasts it; because Bitcoin miners select among conflicting transactions by fee, the attacker's version confirms and the buyer's transaction is discarded. The paper formalizes the PSBT transfer lifecycle and argues the attack applies to marketplaces and exchanges that use PSBTs, naming Magic Eden, Unisat, Gate.io, and OKX. It reports a regtest implementation in which the highest-fee transaction always wins block inclusion and the BRC20 tokens move to the attacker's address. If correct, the result is that 'highest bidder wins' does not hold for unconfirmed BRC20 purchases.

What carries the argument

The load-bearing mechanism is the partially signed Bitcoin transaction (PSBT), the BIP-174 format that allows a transaction to be built and signed in stages by different parties. In the paper's model, the PSBT carries the BRC20 transfer inscription in its data/witness field, references the inscribed satoshi input, and names the seller's payment output; the Finalize step turns a fully signed PSBT into a broadcast-ready transaction. The attack couples that format with Bitcoin's fee-based mempool selection: the fee is the input-output value difference, miners prioritize higher-fee transactions, and conflicting spends of the same UTXO cannot both confirm. By keeping the inscription metadata and seller output identical while raising the fee, the attacker makes the normal block-selection rule do the front-running.

What would settle it

Check the PSBTs that Magic Eden, Unisat, Gate.io, or OKX actually publish for a BRC20 listing: if the incomplete PSBT contains no seller signature on the inscribed input (or is never exposed to third parties), an attacker cannot finalize a competing transaction that spends that input, and the claimed applicability fails. A second test is to rerun the attack with separate wallets so the attacker controls only their own keys and receives from the marketplace only the seller-signed PSBT; if no broadcastable competing transaction can be produced, the regtest result was an artifact of a single test wallet.

Watch

Extended reading notes

Core claim

The central discovery, stated on the paper's own terms, is that a partially signed Bitcoin transaction (PSBT) carrying a BRC20 transfer is not a safe commitment to a given buyer. The seller publishes a PSBT whose data/witness field contains the transfer inscription (protocol brc-20, operation transfer, token tick, amount amt) and whose outputs credit the seller; the legitimate buyer adds a payment input, signs, and broadcasts the finalized transaction. An attacker monitors the mempool, extracts that metadata, and constructs a new PSBT with the same inscription, an equal output to the seller, a change output to the attacker, and a higher fee, then signs and broadcasts it first. Since the competing transactions conflict on the inscribed satoshi, the mempool and miners can confirm only one, and fee-based selection favors the attacker. The paper claims this defeats the 'highest bidder wins' principle on PSBT-based platforms and that the same mechanism extends to other UTXO-based inscription tokens such as Runes.

Load-bearing premise

The attack works only if a third-party attacker can obtain a partially signed PSBT that already contains the seller's valid signature on the inscribed satoshi input, and the paper assumes this exposure on Magic Eden, Unisat, Gate.io, and OKX without demonstrating it, since its regtest experiment instead conflicts on the buyer's UTXO.

Editorial extensions

If this is right

  • Any unconfirmed BRC20 purchase executed through a PSBT marketplace can be displaced by an attacker who rebroadcasts the same transfer metadata at a higher fee, so a higher bid does not by itself guarantee token delivery.
  • The attack uses Bitcoin's standard fee-based block selection as its engine: the attacker needs no protocol bug, no miner collusion, and no private key belonging to the buyer.
  • Because Rune and other UTXO-based inscription tokens share the same transaction and confirmation mechanics, the paper's argument transfers the attack to them whenever those tokens are traded through visible partial transactions.
  • Marketplaces that want to protect buyers must either keep incomplete PSBTs out of public view, let buyers pre-authorize fee escalation, or bind the PSBT to a maximum fee commitment, as the paper's fee-locking mechanism proposes.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The paper leaves open the exact channel by which the seller's signature enters an attacker's hands; if marketplaces instead keep PSBTs private until a buyer is chosen, the practical attack surface narrows to the buyer's own broadcast, which does not by itself give a third party the ability to spend the inscribed satoshi.
  • The regtest experiment, as written, has buyer and attacker both spending the buyer's UTXO from a single wallet, so a direct replication with separate wallets and a seller-signed PSBT would test whether the real-world enabler actually exists on the named platforms.
  • The proposed fee-locking commitment is only a proposal: Bitcoin Core does not currently enforce a maximum-fee commitment in PSBTs, so implementing it would require either a wallet-level marketplace rule or a change in how the network validates transactions.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The manuscript formalizes the BRC20 transfer workflow through PSBTs, proposes a "BRC20 snipping attack" in which an attacker intercepts a pending PSBT, replicates its BRC20 metadata, substitutes attacker-controlled inputs and outputs, pays a higher fee, and thereby displaces the legitimate buyer's transaction, and reports a regtest experiment plus three mitigation strategies. It claims that the attack applies to Magic Eden, Unisat, Gate.io, and OKX, and that the long-standing principle that the highest bidder wins is rendered ineffective.

Significance. If the attack worked as described, it would be a practically important vulnerability in popular BRC20 marketplaces, and the formalization of the PSBT transfer lifecycle would be a useful reference. The paper also has the merit of making its attack workflow explicit and of testing fee-based mempool conflict resolution in a controlled regtest setting. However, the central security claim rests on a signature-reuse mechanism that the paper does not establish, and the reported experiment does not actually model BRC20 transfers; as presented, the evidence does not support the stated conclusions.

major comments (3)
  1. [§5.4, Listing 1, Listing 3, Table 3] The attacker's PSBT in Listing 3 spends the same input txid.b2ea (vout 0) as the buyer's PSBT in Listing 1, and Table 3 identifies txid.b2ea as the buyer's UTXO. The attacker does not possess the buyer's private key, so the attacker cannot produce a valid signature for that input; the transaction the attacker is said to broadcast would be rejected by consensus. The experiment therefore demonstrates mempool fee-based conflict resolution only for a transaction that no real attacker could broadcast, and the claimed replacement of the buyer's transaction is not a valid conflicting transaction.
  2. [§4.3, Step 3–4; §3.3; §7.3] The attack narrative requires the attacker to take the seller's partially signed PSBT, alter the buyer's input and change output, and finalize it. Under BIP-174 and Bitcoin's sighash rules, a signature commits to the exact serialized transaction unless non-default SIGHASH flags such as SIGHASH_SINGLE|ANYONECANPAY are used, so the seller's partial signature cannot remain valid after the attacker substitutes a different buyer input or output. The paper cites no evidence that Magic Eden, Unisat, Gate.io, or OKX expose seller signatures with such flags or that the seller signs only a subset of the transaction. Consequently, the central enabler of the attack, namely that a third party can finalize a competing transaction spending the same inscribed satoshi, is assumed rather than established.
  3. [§5.1, §5.4, Listing 1, Listing 3] The experiment encodes the BRC20 transfer metadata in an OP_RETURN "data" output rather than in the taproot witness as a BRC20 inscription. OP_RETURN outputs are provably unspendable and are not admitted by BRC20 indexers as valid transfer inscriptions. The custom Python indexer crediting 1000 AK47 to the attacker's wallet is therefore an artifact of the test harness, not a demonstration that a BRC20 token transfer was hijacked. The two success criteria in §5.3 (block inclusion and token receipt) are not validated by this experiment.
minor comments (4)
  1. [Title, Abstract, §1] The paper consistently misspells "sniping" as "snipping" in the title and abstract, and the abstract also contains typographical errors such as "legesmate transction" and "validata" in the introduction.
  2. [§5.4, second condition] The sentence "we queried the BRC20 token balances of the attacker's wallet address (tx.f0bb)" uses a transaction identifier where an address identifier (adr.v6r9 per Table 3) is meant; this should be corrected for reproducibility.
  3. [§6.3, Table 2] The checkmarks in Table 2 are presented without a supporting methodology or data source; the table should either be removed or accompanied by evidence that each platform broadcasts partially signed, unconfirmed PSBT transactions containing seller signatures.
  4. [§5.4, Listings 1–4] The listings contain line breaks within base64 strings and hex strings that make them hard to verify; providing the full commands or a reproducibility script would improve the experimental presentation.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the attack's validation is a direct experimental test of Bitcoin's fee-based mempool selection, with no fitted parameters, self-referential definitions, or load-bearing self-citations.

full rationale

The paper's central claim is that a higher-fee conflicting PSBT can displace a legitimate BRC20 purchase before confirmation. This is not derived from an input that already contains the conclusion; it is tested directly in a regtest environment where the attacker broadcasts a transaction with a higher fee and observes that the higher-fee transaction is confirmed while the lower-fee transaction is invalidated. The success criterion ('block inclusion' of the higher-fee transaction) matches the protocol's known fee-based selection mechanism, but that is a property of Bitcoin's mempool/mining rules, not a definitional equivalence introduced by the paper. No parameter is fitted to a subset of data and then 'predicted' on a closely related quantity. The paper explicitly disclaims novelty in the general concept of mempool sniping and positions its contribution as a PSBT/BRC20-specific application, so this is contextual application rather than renaming a known result. Self-citations appear (e.g., refs [29], [59], [63]), but they are confined to background, related work, and a reference for the two-transaction BRC20 transfer mechanism; none is invoked as the justification for the attack's validity, and no 'uniqueness theorem' or prior-work-derived ansatz is imported to force the paper's construction. Concerns about whether the experiment's attacker can legitimately sign the buyer's UTXO in practice are correctness or threat-model issues, not circularity, and are outside the scope of this pass. The derivation chain is therefore self-contained with respect to circularity.

Assumptions & free parameters 0 free parameters · 4 assumptions · 0 invented entities

The paper relies on standard Bitcoin assumptions (fee-based mempool selection and PSBT finalization) plus a questionable modeling assumption that a regtest transaction with OP_RETURN data represents a real BRC20 transfer.

assumptions (4)
  • domain assumption Bitcoin miners select transactions by fee rate.
    The attack assumes a fee-competitive mempool prioritizes higher fee transactions, cited in Section 3.2 and used throughout.
  • domain assumption PSBTs in open BRC20 markets are visible to third parties before finalization.
    The attack depends on observing or intercepting the PSBT, stated in Section 4.3 and Section 5.2 threat model.
  • domain assumption A party holding a partially signed PSBT can finalize it without additional authorization from the seller.
    The attacker must be able to complete the seller's signature to broadcast a competing transaction; the paper does not establish this for the platforms it lists.
  • ad hoc to paper The regtest implementation faithfully models BRC20 transfer semantics.
    The experiment uses OP_RETURN data outputs instead of taproot inscriptions, so this faithfulness is doubtful; see Section 5.4.

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Cite this review

Pith. "Pith review of BRC20 Snipping Attack." pith.science (2026). https://pith.science/paper/5VGO5ZDV

@misc{pith2026250111942,
  author       = {Pith},
  title        = {Pith review of: BRC20 Snipping Attack},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/5VGO5ZDV}},
  note         = {Machine review of arXiv:2501.11942}
}
read the original abstract

In this paper, we introduce and implement BRC20 sniping attack. Our attack manipulates the BRC20 token transfers in open markets and disrupts the fairness among bidding participants. The long-standing principle of ``highest bidder wins'' is rendered ineffective. Typically, open BRC20 token markets rely on Partially Signed Bitcoin Transactions (PSBT) to broadcast selling intents and wait for buying auctions. Our attack targets the BRC20 buying process (i.e., transfer) by injecting a front-running transaction to complete the full signature of the PSBT. At its core, the attack exploits the mempool's fee-based transaction selection mechanism to snipe the victim transaction, replicate metadata, and front-run the legesmate transaction. This attack applies to platforms using PSBT for BRC20 token transfers, including popular Bitcoin exchanges and marketplaces (e.g., Magic Eden, Unisat, Gate.io, OKX). We implemented and tested the attack on a Bitcoin testnet (regtest), validating its effectiveness through multiple experimental rounds. Results show that the attacker consistently replaces legitimate transactions by submitting higher-fee PSBTs. We have also made responsible disclosures to the mentioned exchanges.

Figures

Figures reproduced from arXiv: 2501.11942 by the authors.

Figure 1
Figure 1. Transferring BRC20/Inscriptions via the UTXO model [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Workflow of Our Snipping Attack • Step 1: Intercept the legitimate PSBT. By observing uncon￾firmed BRC20 transactions (often embedding JSON-like data within the witness field) in the mempool, the attacker is able to identify the legitimate buyer’s pending PSBT P. • Step 2: Parse BRC20 transfer details. Extract essential fields from P: (1) The spending inputs: {(txid(𝑖) , vout(𝑖) )}; (2) The receiving address(es) and… view at source ↗
Figure 3
Figure 3. Screenshots during our attack 9 [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
Figures from the paper (3 more)
Figure 4
Figure 4. Figure 4: Fee rate comparison in three experiments: The chart com [PITH_FULL_IMAGE:figures/full_fig_p010_4.png]
Figure 5
Figure 5. Figure 5: Screenshots for Mitigation Strategies [PITH_FULL_IMAGE:figures/full_fig_p014_5.png]
Figure 6
Figure 6. Figure 6: Bitcoin Avg. Transaction Fee vs. Transactions Per Day his [PITH_FULL_IMAGE:figures/full_fig_p014_6.png]

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Reference graph

Works this paper leans on

66 extracted references · 64 canonical work pages

  1. [1]

    The Chainalysis 2024 Crypto Crime Report

    Chainalysis. The Chainalysis 2024 Crypto Crime Report. https:// go.chainalysis .com/crypto-crime-2024.html/ . Accessed: Sep, 2024 , 2024

  2. [2]

    Ordinal theory handbook

    Ordinal Theory Authors. Ordinal theory handbook. https:// docs.ordinals.com/ . Accessed: April, 2024, 2024

  3. [3]

    A new era for Bitcoin

    Binance Research. A new era for Bitcoin. https:// research.binance.com/static/ pd f/ a-new-era-f or-bitcoin.pdf , 2023

  4. [4]

    BRC-20 tokens: A primer

    Binance Research. BRC-20 tokens: A primer. https:// research.binance.com/stati c/ pdf/ BRC-20%20T okens%20-%20A%20Primer.pdf , 2023

  5. [5]

    Navigating the inscriptions landscape

    Binance Research. Navigating the inscriptions landscape. https:// public.bnbstat ic.com/static/ files/research/ navigating-the-inscriptions-landscape.pdf , 2024

  6. [6]

    The future of Bitcoin #1: The halving & what’s next

    Binance Research. The future of Bitcoin #1: The halving & what’s next. https:// public.bnbstatic.com/static/ files/research/ the-f uture-of-bitcoin-1-the-h alving-and-whats-next.pdf , 2024

  7. [7]

    The future of Bitcoin #2: Tokens

    Binance Research. The future of Bitcoin #2: Tokens. https:// public.bnbstatic.c om/static/ files/research/ the-f uture-of-bitcoin-2-tokens.pdf , 2024

  8. [8]

    The future of Bitcoin #3: Scaling Bitcoin

    Binance Research. The future of Bitcoin #3: Scaling Bitcoin. https:// public.bnbst atic.com/static/ files/research/ the-f uture-of-bitcoin-3-scaling-bitcoin.pdf , 2024

Show all 66 references
  1. [9]

    https:// discord.com/ channels/1131000554005467206/ 1258112452453728316/

    Snipe Discord Channel. https:// discord.com/ channels/1131000554005467206/ 1258112452453728316/ . Accessed: Sep, 2024, 2024

  2. [10]

    https:// x.com/ Xeer/status/ 1811232129692704787/

    Sniping Battle in Ape Hoodie Ordinal. https:// x.com/ Xeer/status/ 1811232129692704787/ . Accessed: Sep, 2024, 2024

  3. [11]

    Mempool Sniping Exploit Plagues Ordibots Mint

    Phoenixx Down. Mempool Sniping Exploit Plagues Ordibots Mint. https:// ww w.influencive.com/mempool-sniping-exploit-plagues-ordibots-mint/ . Accessed: Sep, 2024, 2023

  4. [12]

    https:// x.com/ const_quar y/ status/1802999453017632785/

    A Poll Asking Users Whether They had been Sniped. https:// x.com/ const_quar y/ status/1802999453017632785/ . Accessed: Sep, 2024, 2024

  5. [13]

    Ethereum ERC-20 token standard

    Vogelsteller Fabian and Buterin Vitalik. Ethereum ERC-20 token standard. Ac- cessible: https:// eips.ethereum.org/ EI PS/eip-20 , 2015

  6. [14]

    Eip-721: ERC-721 non-fungible token standard

    Entriken William, Shirley Dieter, Evans Jacob, and Sachs Nastassia. Eip-721: ERC-721 non-fungible token standard. Accessible: https:// eips.ethereum.org/ EI PS/eip-721 , 2018

  7. [15]

    Non-fungible token (NFT): Overview, evaluation, opportunities and challenges

    Qin Wang et al. Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. arXiv preprint arXiv:2105.07447, 2021

  8. [16]

    BIP-174: Partially signed bitcoin transaction format

    Ava Chow. BIP-174: Partially signed bitcoin transaction format. https:// github.c om/bitcoin/bips/ blob/master/ bip-0174.mediawiki. Accessed: Jan. 2025 , 2020

  9. [17]

    Flash boys 2.0: Frontrunning in decentralized exchanges, miner extractable value, and consensus instability

    Philip Daian, Steven Goldfeder, Tyler Kell, Yunqi Li, Xueyuan Zhao, Iddo Bentov, Lorenz Breidenbach, and Ari Juels. Flash boys 2.0: Frontrunning in decentralized exchanges, miner extractable value, and consensus instability. InIEEE Symposium on Security and Privacy (SP) , page...

  10. [18]

    High-frequency trading on decentralized on-chain exchanges

    Liyi Zhou, Kaihua Qin, Christof Ferreira Torres, Duc V Le, and Arthur Gervais. High-frequency trading on decentralized on-chain exchanges. InIEEE Symposium on Security and Privacy (SP) , pages 428–445. IEEE, 2021

  11. [19]

    Frontrunning block attack in PoA clique: A case study

    Xinrui Zhang et al. Frontrunning block attack in PoA clique: A case study. In IEEE International Conference on Blockchain and Cryptocurrency (ICBC) , pages 1–3. IEEE, 2022

  12. [20]

    Exploring unfairness on proof of authority: Order manipulation attacks and remedies

    Qin Wang, Rujia Li, Qi Wang, Shiping Chen, and Yang Xiang. Exploring unfairness on proof of authority: Order manipulation attacks and remedies. In ACM on Asia Conference on Computer and Communications Security (AsiaCCS) , pages 123–137, 2022

  13. [21]

    SoK: Transparent dishonesty: Front-running attacks on blockchain

    Shayan Eskandari, Seyedehmahsa Moosavi, and Jeremy Clark. SoK: Transparent dishonesty: Front-running attacks on blockchain. In International Conference on Financial Cryptography and Data Security (FC) , pages 170–189. Springer, 2020

  14. [22]

    SoK: Preventing transaction reordering manipulations in decentralized finance

    Lioba Heimbach and Roger Wattenhofer. SoK: Preventing transaction reordering manipulations in decentralized finance. In Proceedings of the ACM Conference on Advances in Financial Technologies (AFT), pages 47–60, 2022

  15. [23]

    SoK: MEV countermeasures

    Sen Yang, Fan Zhang, Ken Huang, Xi Chen, Youwei Yang, and Feng Zhu. SoK: MEV countermeasures. In Proceedings of the Workshop on Decentralized Finance and Security, pages 21–30, 2024

  16. [24]

    Token spammers, rug pulls, and sniper bots: An analysis of the ecosystem of tokens in Ethereum and in the Binance smart chain (BNB)

    Federico Cernera, Massimo La Morgia, Alessandro Mei, and Francesco Sassi. Token spammers, rug pulls, and sniper bots: An analysis of the ecosystem of tokens in Ethereum and in the Binance smart chain (BNB). In USENIX Security Symposium (USENIX Sec) , pages 3349–3366, 2023

  17. [25]

    Ready, aim, snipe! analysis of Sniper bots and their impact on the DeFi ecosystem

    Federico Cernera, Massimo La Morgia, Alessandro Mei, Alberto Maria Mon- gardini, and Francesco Sassi. Ready, aim, snipe! analysis of Sniper bots and their impact on the DeFi ecosystem. Companion Proceedings of the ACM Web Conference (WWW), pages 1093–1102, 2023

  18. [26]

    The blockchain warfare: Investigating the ecosystem of sniper bots on Ethereum and BNB smart chain

    Federico Cernera, Massimo La Morgia, Alessandro Mei, Alberto Maria Mongar- dini, and Francesco Sassi. The blockchain warfare: Investigating the ecosystem of sniper bots on Ethereum and BNB smart chain. ACM Transactions on Internet Technology (TOIT), 2024

  19. [27]

    The blockchain imitation game

    Kaihua Qin, Stefanos Chaliasos, Liyi Zhou, Benjamin Livshits, Dawn Song, and Arthur Gervais. The blockchain imitation game. In USENIX Security Symposium (USENIX Sec), pages 3961–3978, 2023

  20. [28]

    Transaction fairness in blockchains, revisited

    Rujia Li, Xuanwei Hu, et al. Transaction fairness in blockchains, revisited. Cryp- tology ePrint Archive, 2023

  21. [29]

    BRC20 pinning attack

    Minfeng Qi, Qin Wang, Zhipeng Wang, Lin Zhong, Tianqing Zhu, Shiping Chen, and William Knottenbelt. BRC20 pinning attack. arXiv preprint arXiv:2410.11295, 2024

  22. [30]

    https:// github.com/t-bast/ lightning-docs/ blob/master/ pinning-attacks.md#attacks-on-lightning , 2024

    Pinning attacks in lightning network. https:// github.com/t-bast/ lightning-docs/ blob/master/ pinning-attacks.md#attacks-on-lightning , 2024

  23. [31]

    Bitcoin transaction malleability and MtGox

    Christian Decker and Roger Wattenhofer. Bitcoin transaction malleability and MtGox. In European Symposium on Research in Computer Security (ESORICS) , pages 313–326. Springer, 2014

  24. [32]

    On the malleability of Bitcoin transactions

    Marcin Andrychowicz, Stefan Dziembowski, Daniel Malinowski, and Łukasz Mazurek. On the malleability of Bitcoin transactions. In International Confer- ence on Financial Cryptography and Data Security: (FC) Workshops , pages 1–18. Springer, 2015

  25. [33]

    Transaction pinning

    Bitcoin Optech. Transaction pinning. https:// bitcoinops.org/en/ topics/transacti on-pinning/ . Accessed: Sep, 2024 , 2024. 13

  26. [34]

    Time-manipulation attack: Breaking fairness against proof of authority Aura

    Xinrui Zhang, Rujia Li, et al. Time-manipulation attack: Breaking fairness against proof of authority Aura. In Proceedings of the ACM Web Conference (WWW) , pages 2076–2086, 2023

  27. [35]

    Selfish mining re- examined

    Kevin Alarcón Negy, Peter R Rizun, and Emin Gün Sirer. Selfish mining re- examined. In International Conference on Financial Cryptography and Data Secu- rity (FC), pages 61–78. Springer, 2020

  28. [36]

    Selfish mining in Ethereum

    Chen Feng and Jianyu Niu. Selfish mining in Ethereum. In IEEE International Conference on Distributed Computing Systems (ICDCS) , pages 1306–1316. IEEE, 2019

  29. [37]

    Majority is not enough: Bitcoin mining is vulner- able

    Ittay Eyal and Emin Gün Sirer. Majority is not enough: Bitcoin mining is vulner- able. Communications of the ACM, 61(7):95–102, 2018

  30. [38]

    Survive and thrive: A stochastic game for DDoS attacks in Bitcoin mining pools

    Shuangke Wu, Yanjiao Chen, Minghui Li, Xiangyang Luo, Zhe Liu, and Lan Liu. Survive and thrive: A stochastic game for DDoS attacks in Bitcoin mining pools. IEEE/ACM Transactions On Networking (ToN), 28(2):874–887, 2020

  31. [39]

    Shocking blockchain’s memory with unconfirmed transactions: New DDoS attacks and countermeasures

    Muhammad Saad, Laurent Njilla, Charles A Kamhoua, Kevin Kwiat, and Aziz Mohaisen. Shocking blockchain’s memory with unconfirmed transactions: New DDoS attacks and countermeasures. Blockchain for Distributed Systems Security , page 205, 2019

  32. [40]

    Mempool optimization for defending against DDoS attacks in PoW-based blockchain systems

    Muhammad Saad, Laurent Njilla, Charles Kamhoua, Joongheon Kim, DaeHun Nyang, and Aziz Mohaisen. Mempool optimization for defending against DDoS attacks in PoW-based blockchain systems. IEEE International Conference on Blockchain and Cryptocurrency (ICBC) , 2019

  33. [41]

    Empirical analysis of denial-of- service attacks in the bitcoin ecosystem

    Marie Vasek, Micah Thornton, and Tyler Moore. Empirical analysis of denial-of- service attacks in the bitcoin ecosystem. In International Conference on Financial Cryptography and Data Security (FC) Workshops , pages 57–71. Springer, 2014

  34. [42]

    Bitcoin: A peer-to-peer electronic cash system

    Satoshi Nakamoto. Bitcoin: A peer-to-peer electronic cash system. Satoshi Nakamoto, 2008

  35. [43]

    The Bitcoin backbone proto- col: Analysis and applications

    Juan Garay, Aggelos Kiayias, and Nikos Leonardos. The Bitcoin backbone proto- col: Analysis and applications. Journal of the ACM, 71(4):1–49, 2024

  36. [44]

    Ethereum: A secure decentralised generalised transaction ledger

    Gavin Wood et al. Ethereum: A secure decentralised generalised transaction ledger. Ethereum project yellow paper , 151(2014):1–32, 2014

  37. [45]

    Account abstraction, analysed

    Qin Wang and Shiping Chen. Account abstraction, analysed. InIEEE International Conference on Blockchain (Blockchain) , pages 323–331. IEEE, 2023

  38. [46]

    Understanding BRC-20: Hope or hype

    Qin Wang and Guangsheng Yu. Understanding BRC-20: Hope or hype. A vailable at SSRN 4590451, 2023

  39. [47]

    BIP-341: Taproot: Segwit version 1 spending rules

    Wuille Pieter, Nick Jonas, and Towns Anthony. BIP-341: Taproot: Segwit version 1 spending rules. https:// github.com/bitcoin/bips/ blob/master/ bip-0341.mediawiki. Accessed: Jan. 2025, 2020

  40. [48]

    BIP 342: Tapscript

    Bitcoin Community. BIP 342: Tapscript. https:// github.com/bitcoin/bips/ blob/m aster/ bip-0342.mediawiki. Accessed: April, 2024 , 2021

  41. [49]

    BIP-141: Segregated witness (consensus layer)

    Pieter Wuille et al. BIP-141: Segregated witness (consensus layer). https:// gith ub.com/bitcoin/bips/ blob/master/ bip-0141.mediawiki. Accessed: Jan. 2025 , 2017

  42. [50]

    https:// ordinalswallet.com/collection/ brc20-ORDI

    BRC20-ORDI. https:// ordinalswallet.com/collection/ brc20-ORDI . Accessed: April, 2024, 2024

  43. [51]

    Bridging BRC-20 to Ethereum

    Qin Wang, Guangsheng Yu, and Shiping Chen. Bridging BRC-20 to Ethereum. IEEE International Conference on Blockchain and Cryptocurrency (ICBC) , 2024

  44. [52]

    https:// ordinalswallet.com/brc20 , 2023

    Ordinal wallet. https:// ordinalswallet.com/brc20 , 2023

  45. [53]

    https:// unisat.io/ brc20?ref=bankless.ghost.io , 2023

    Unisat wallet: Open source chrome extension for Bitcoin ordinals & BRC-20. https:// unisat.io/ brc20?ref=bankless.ghost.io , 2023

  46. [54]

    https:// www.binance.com/ en/web3wallet

    Binance Web3 Wallet. https:// www.binance.com/ en/web3wallet. Accessed: Jan. 2025, 2024

  47. [55]

    https:// mempool.space/

    Mempool - Bitcoin Explorer. https:// mempool.space/ . Accessed: Sep, 2024 , 2024

  48. [56]

    BIP-125: Opt-in full replace-by-fee signaling

    Harding David and Todd Peter. BIP-125: Opt-in full replace-by-fee signaling. https:// github.com/bitcoin/bips/ blob/master/ bip-0174.mediawiki. Accessed: Jan. 2025, 2015

  49. [57]

    Quantifying blockchain extractable value: How dark is the forest? In IEEE Symposium on Security and Privacy (SP) , pages 198–214

    Kaihua Qin, Liyi Zhou, and Arthur Gervais. Quantifying blockchain extractable value: How dark is the forest? In IEEE Symposium on Security and Privacy (SP) , pages 198–214. IEEE, 2022

  50. [58]

    Order-fairness for Byzantine consensus

    Mahimna Kelkar, Fan Zhang, Steven Goldfeder, and Ari Juels. Order-fairness for Byzantine consensus. In Annual International Cryptology Conference (CRYPTO) , pages 451–480. Springer, 2020

  51. [59]

    Bitcoin inscriptions: Foundations and beyond.IEEE International Conference on Blockchain and Cryptocurrency (ICBC) , 2024

    Ningran Li, Minfeng Qi, et al. Bitcoin inscriptions: Foundations and beyond.IEEE International Conference on Blockchain and Cryptocurrency (ICBC) , 2024

  52. [60]

    Bitcoin ordinals: Determinants and impact on total transaction fees

    Louis Bertucci. Bitcoin ordinals: Determinants and impact on total transaction fees. Research in International Business and Finance , page 102338, 2024

  53. [61]

    Modu- lar indexer: Fully user-verified execution layer for meta-protocols on bitcoin

    Hongbo Wen, Hanzhi Liu, Shuyang Tang, Shuhan Cao, Yu Feng, et al. Modu- lar indexer: Fully user-verified execution layer for meta-protocols on bitcoin. Cryptology ePrint Archive, 2024

  54. [62]

    Push-button verification for BitVM implementations

    Hanzhi Liu, Jingyu Ke, Hongbo Wen, Robin Linus, Lukas George, Manish Bista, Hakan Karakuş, Junrui Liu, Yanju Chen, Yu Feng, et al. Push-button verification for BitVM implementations. Cryptology ePrint Archive, 2024

  55. [63]

    SoK: Bitcoin layer two (L2)

    Minfeng Qi, Qin Wang, Zhipeng Wang, Manvir Schneider, Tianqing Zhu, Shiping Chen, William Knottenbelt, and Thomas Hardjono. SoK: Bitcoin layer two (L2). arXiv preprint arXiv:2409.02650, 2024

  56. [64]

    BitVM: Compute anything on Bitcoin

    BitVM. BitVM: Compute anything on Bitcoin. https:// bitvm.org/ bitvm.pdf . Accessed: April, 2024, 2024

  57. [65]

    BitVM2: Opening up the playing field

    Robin Linus. BitVM2: Opening up the playing field. Bitcoin Magazine, 2024. (a) Adding Mempool Protection Mechanism (b) Increasing Fees After Submission Figure 5: Screenshots for Mitigation Strategies Figure 6: Bitcoin Avg. Transaction Fee vs. Transactions Per Day his- torical ...

  58. [66]

    https:// bitinf ocharts.com/ comparison/transactionfees-transaction s-btc.html#3y

    Bitinfocharts. https:// bitinf ocharts.com/ comparison/transactionfees-transaction s-btc.html#3y. Accessed: April , 2024. A BITCOIN HISTORICAL PRICES Fig.6 illustrates the correlation between the average Bitcoin trans- action fee (in USD) and the number of transactions per day...

Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.