📊 Full opportunity report: Forty Bits: The Coldcard Hack And The Question Of Whether An AI Found It on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
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TL;DR
A firmware vulnerability in Coldcard hardware wallets caused a significant Bitcoin loss. While some suggest AI may have played a role, evidence indicates the attack was computational, not AI-driven. The incident highlights security challenges in offline wallets.
Canadian hardware wallet maker Coinkite confirmed that a firmware update in March 2021 caused Coldcard Mk3 devices to generate seeds with significantly reduced entropy, leading to a large-scale Bitcoin theft involving over 1,800 BTC.
Security experts identified a flaw in Coldcard’s firmware that caused the device’s randomness to collapse from 128 bits to approximately 40 bits of entropy. This reduction allowed attackers to systematically regenerate potential keys and drain wallets without directly stealing from the devices.
Between July 29 and August 1, blockchain analysis traced a series of automated transactions draining a total of 1,816 BTC from over 5,200 addresses, primarily through large, rapid sweeps of single-signature wallets.
Within hours of the event, a viral claim emerged suggesting that an AI model, specifically Moonshot’s open-weighted Kimi K3, might have discovered the vulnerability and facilitated the attack. However, no direct evidence links the AI model to the breach, and experts note the attack was computationally straightforward, independent of AI.
Offline hardware wallets were emptied without an attacker touching a single device. The keys weren’t stolen — they were regenerated, because a firmware flaw had quietly shrunk the space of possible keys to something a machine could search.
▲ AI attribution unproven · Kimi K3 claim is a community theoryA hardware wallet’s security rests entirely on one moment: the randomness used to generate its recovery seed. A 2021 firmware change quietly broke that randomness on affected Coldcard Mk3 devices.
The signature — hundreds of unrelated wallets emptied against a prepared list — points to an automated operation working from precomputed keys, per Galaxy Research on-chain analysis.
A viral post framed this as “the AI reckoning” and named Moonshot’s new open-weight model. The timing is suggestive. The evidence is not conclusive.
- K3 weights dropped 27 Jul; first draining ~29–30 Jul — two days apart
- Public firmware is exactly what an AI code agent can read
- Widely shared, emotionally resonant, and entirely uncorroborated
- UK–US AISI eval: K3’s exploit ability reaches only ~40% of frontier US models
- Independent researchers reproduced it after the flaw was public — not cold
- A 40-bit search needs no LLM; specialised hardware brute-forces it
Strip out the attribution entirely and the important finding survives.
The real shift isn’t that AI broke cryptography — the mathematics held; the software around it did not. It’s that frontier models are collapsing the window between when a vulnerability is created, discovered, and exploited. A flaw sat dormant for four years. That dormancy is becoming the exception.
and the window from dormant bug to drained wallet just got much shorter for everyone shipping code.
Implications for Cold Storage Security
This incident underscores the risks of hardware wallet vulnerabilities, especially when firmware flaws reduce seed randomness. It demonstrates that even offline, cold storage devices are susceptible to sophisticated attacks if their security assumptions are compromised.
The widespread speculation about AI's role highlights the challenges in distinguishing between human and automated exploits, emphasizing the need for rigorous security reviews and transparency in cryptographic hardware.
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Background on Coldcard and Firmware Vulnerabilities
Coldcard, produced by Canadian firm Coinkite, is a widely used hardware wallet designed for secure, offline Bitcoin storage. In March 2021, a firmware update inadvertently weakened the device's randomness generation, a critical component for secure key creation. This flaw was not publicly known until it was exploited in July 2023.
The attack involved automated, large-scale draining of wallets, suggesting the use of precomputed keys or brute-force techniques. Prior to this, the security community had warned about the importance of firmware integrity, but this breach revealed how subtle flaws could have major consequences.
"We have no evidence that AI was involved in discovering or exploiting the firmware flaw. Our review prior to the attack did not detect this vulnerability."
— Coinkite spokesperson
Unconfirmed Role of AI in the Attack
There is no verified evidence linking AI, specifically models like Kimi K3, to the discovery or exploitation of the firmware flaw. The timing of AI model releases and the attack is suggestive but coincidental. Experts agree that the breach was primarily a computational problem, solvable without AI assistance.
Future Security Measures and Investigations
Coinkite is expected to conduct further security audits of its firmware and hardware. Law enforcement and cybersecurity agencies may investigate the breach to determine if any human actors or automated systems were involved beyond the known technical flaw. The community will scrutinize the incident to improve hardware wallet resilience.
Key Questions
Did AI directly cause the Coldcard breach?
No, there is no confirmed evidence that AI models like Kimi K3 discovered or exploited the firmware flaw. The attack was computational and could be performed without AI assistance.
How did the firmware flaw enable the theft?
The flaw reduced the seed generation's entropy from 128 bits to about 40 bits, making it feasible for attackers to systematically regenerate keys and drain wallets without physical access to the devices.
Has Coinkite acknowledged the vulnerability?
Yes, Coinkite confirmed that a firmware update in March 2021 caused the entropy reduction and stated that their internal review did not detect the flaw before the attack.
What is the significance for Bitcoin users?
This incident highlights the importance of firmware integrity and the risks posed by subtle cryptographic flaws, even in offline hardware wallets designed for security.
What steps are being taken to prevent similar incidents?
Coinkite and other manufacturers are expected to enhance firmware review processes, implement more robust security testing, and increase transparency to prevent future vulnerabilities.
Source: ThorstenMeyerAI.com
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