Following the Coldcard Hack, One of the Largest Bitcoin Wallet Hacks Recently, a New Wave of Losses Begins! Losses Are Mounting

cryptonews.ruPublished on 2026-08-02Last updated on 2026-08-02

Abstract

Following a major hack targeting Coldcard hardware wallets, losses have surged to approximately 1,367 BTC ($88.6 million) across 4,585 addresses. The third wave of attacks stole an additional 207.7 BTC, exhibiting different patterns from the first two. While initial attacks used shared deposit addresses and targeted P2WPKH wallets, the latest wave employed unique recipient addresses per victim and focused on P2WSH addresses. Analysis by Galaxy Research cannot definitively link all three waves to the same attacker, raising the possibility of a second actor exploiting the known vulnerability. The stolen funds, predominantly from wallets holding under 1 BTC, remain unspent. The vulnerable Coldcard firmware was released in March 2021, and all stolen coins originate from after that date.

Galaxy Research has announced the discovery of a third wave of attacks, believed to be targeting addresses created on Coldcard devices. According to available data, the latest wave resulted in the withdrawal of 207.7294 $BTC, bringing total losses to 1367.05 $BTC, or approximately $88.6 million USD, across 4,585 addresses.

According to the research company, the first two waves of attacks exhibited mostly similar behavior on the blockchain. In both waves, funds were transferred to a small number of common collection addresses, used P2WPKH addresses, and targeted wallets created based on different derivation paths. The roughly 27-hour interval between the two waves and the similarity in transaction structure suggest the attacks could have been carried out by the same individual or group.

However, Galaxy Research emphasized that there were differences in transaction fees and "fee replacement" signals between the first two waves, so definitively proving the involvement of the same malicious actor was not possible.

Third Wave May Indicate a Different Malicious Actor.

According to Galaxy Research data, the third wave of attacks differs from the two previous ones in almost all measurable behavioral characteristics. Instead of using common collection addresses like in the first attacks, the third wave created a separate target address for each victim.

It was noted that the bitcoins stolen in the third wave were stored on P2WSH addresses, not P2WPKH addresses, and that an average of 6.37 victim addresses were aggregated in each sweep. In contrast, the first wave of attacks targeted only one victim address per transaction. Furthermore, it was stated that the third wave scanned only addresses along the standard generation path.

Researchers noted that these changes could be due to the same malicious actor redesigning their tools to hinder blockchain transaction tracking. However, it was also noted that a second malicious actor targeting the same vulnerable key pool may have emerged after information about the Coldcard vulnerability became public.

Galaxy Research reported that blockchain data does not allow for a clear distinction between these two scenarios. The company stated that while it is certain that each wave of attacks was managed by a single operator, it cannot be said with confidence that all three waves were related to the same malicious actor.

Bitcoins on Malicious Actors' Addresses Not Yet Moved.

According to Galaxy Research calculations, the malicious actors control a total of 1,366.3865 $BTC. It is claimed that not all of the final malicious actor addresses to which these bitcoins, worth approximately $88.6 million, were transferred have yet been spent on the blockchain.

Graph showing the total amount of bitcoin lost due to the attacks. Source: Galaxy Research.

A block-by-block analysis showed that addresses were broadcast to the network en masse during the attack waves. The absence of any broadcast operations in intermediate blocks within each wave attributable to the malicious actors' actions indicates that operations were sent to the network in batches, not continuously.

It was noted that losses were primarily concentrated in wallets with a balance of less than 1 $BTC by address count, but addresses with larger balances were crucial in terms of the total amount. Galaxy Research estimated that this distribution more closely resembles individual users' own custodial wallets rather than institutional custodial services.

The research also revealed that the vulnerable Coldcard software was released on March 17, 2021, around Bitcoin network block 674,951. Galaxy Research stated that none of the bitcoins identified as stolen in the first three waves of attacks were created before this block.

*This is not investment advice.

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Related Questions

QAccording to Galaxy Research, what are the total estimated losses in Bitcoin and US dollars from the Coldcard attacks?

AAccording to Galaxy Research, the total estimated losses are 1,367.05 BTC, or approximately $88.6 million USD.

QWhat key difference in transaction behavior suggests that the third wave of attacks might have been carried out by a different attacker?

AA key difference is that the third wave created a separate target address for each victim, whereas the first two waves sent funds to a small number of shared collection addresses.

QWhat type of Bitcoin addresses were primarily targeted in the third wave of attacks, as opposed to the first two waves?

AIn the third wave, the stolen bitcoins were held on P2WSH (Pay-to-Witness-Script-Hash) addresses, whereas the first two waves targeted P2WPKH (Pay-to-Witness-Public-Key-Hash) addresses.

QWhat does the distribution of stolen funds (concentrated in wallets with less than 1 BTC by address count but larger addresses being crucial for total value) suggest about the victims?

AThis distribution suggests the victims are more likely to be individual users' own custodial wallets rather than institutional custodial services.

QHave the attackers moved the stolen bitcoins from their final addresses, according to the article?

ANo, according to Galaxy Research, not all the final addresses to which these bitcoins were transferred have been spent on-chain yet.

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Bitcoin Withdrawals Continue: 8 Years of Storage in a Coldcard Cold Wallet Ended in Zero

Coldcard Hardware Wallet Hacked: Losses Mount Due to Vulnerable Seed Generation A critical vulnerability in Coldcard hardware wallets has led to a continued wave of fund thefts. According to Galaxy Research, the total stolen has reached 1,367.05 BTC (approx. $88.6 million) from 4,585 addresses, a significant increase from the initial 594.5 BTC reported on July 30, 2026. Most of the stolen funds remain on the attackers' addresses. The issue is not with the current firmware, which Coinkite has updated, but with seed phrases generated on vulnerable devices between March 2021 and the release of fixed firmware versions. Due to a programmer error, devices switched from using a hardware random number generator to the software-based Yasmarang generator, which was initialized with publicly accessible data like the chip's serial number. This made the seed phrases predictable through offline brute-force attacks, meaning wallets remain at risk until funds are moved to a new wallet generated with the patched firmware. Affected devices include Mk2/Mk3 with firmware 4.0.1–4.1.9 (and up to 5.0.3), Mk4/Mk5 up to version 5.6.0, and Q models up to 1.5.0Q. The only exceptions are seeds created with a high-entropy method like at least 50 independent dice rolls or a strong unique BIP-39 passphrase. All other owners must generate a new seed on the fixed firmware and transfer their assets. A case highlighting the human impact involves a 39-year-old long-term investor who lost 2 BTC (approx. $130,000) in minutes. He had accumulated the Bitcoin over eight years through physical labor, viewing it as a financial lifeline and a retirement plan in a country suffering from hyperinflation. His story underscores that even conservative "buy and hold in cold storage" strategies can be compromised by such underlying technical flaws. From a technical perspective, this incident echoes historical failures where weak random number generators undermined cryptographic security, challenging the assumption that offline storage is automatically foolproof.

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