📊 Full opportunity report: AI Vs. Coldcard Hack: Who Really Uncovered The Breach? on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
The Coldcard hardware wallet was hacked through a vulnerability caused by a firmware flaw that reduced seed entropy. While some claim AI played a role in discovering the flaw, evidence suggests the attack was arithmetic and not AI-driven. The incident highlights limits of AI in security testing.
Over 1,800 BTC worth approximately $116 million was drained from Coldcard hardware wallets in a series of coordinated attacks between July 29 and August 1, 2023. The breach involved a flaw in the device’s firmware that reduced the security of generated recovery seeds, enabling automated thefts. While some sources suggest artificial intelligence played a role in discovering the vulnerability, current evidence indicates the exploit was arithmetic and not AI-driven, making the story more complex than initial claims.
The attack targeted Coldcard Mk3 hardware wallets manufactured by Canadian firm Coinkite. In March 2021, a firmware update was quietly released that compromised the device’s seed generation process by reducing the entropy from 128 bits to roughly 40 bits. This significant reduction made it feasible for an attacker with specialized hardware to brute-force the seed space and recover private keys without physically stealing the devices.
On July 30, blockchain analysis from Galaxy Research revealed a series of rapid, automated withdrawals from hundreds of addresses, totaling over 1,800 BTC. The pattern indicated a precomputed, automated operation rather than victims panicking or manually transferring funds. The breach was not due to stolen private keys but rather the ability to regenerate keys from predictable seeds.
Claims emerged suggesting that an AI model, specifically Moonshot’s Kimi K3, might have been used to identify the firmware flaw. A viral post claimed the model’s capabilities aligned with the timing of the exploit, implying AI played a role. However, experts and Coinkite’s own statements emphasize that no direct evidence links AI to the discovery of the flaw, and the attack was arithmetic in nature.
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 of the Seed Entropy Vulnerability
This incident underscores the limitations of AI in security testing, particularly in detecting cryptographic flaws that are arithmetic and straightforward to exploit with specialized hardware. It also highlights that even hardware wallets marketed as highly secure can be vulnerable if firmware updates introduce subtle cryptographic weaknesses. The breach raises questions about the effectiveness of AI-based reviews in security-critical hardware and emphasizes the need for rigorous, independent testing.
Vilo Cryptocurrency Steel Wallet, 24 seed phrase storage, Stainless Steel Crypto Cold Storage Seed Backup, Compatible with All BIP39 Wallets, Ledger Nano, Trezor, KeepKey, Coldcard,
- Made in the USA: Affordable security for your crypto investments
- Simple Design: Basic, cost-effective seed storage solution
- Durable Material: Stainless steel 304, fire and water resistant
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Background on Coldcard Firmware and the 2021 Vulnerability
Coldcard wallets are designed for offline, secure storage of Bitcoin private keys. In March 2021, a firmware update was released that inadvertently reduced the seed generation randomness, collapsing entropy from 128 bits to approximately 40 bits. This flaw was not publicly known until the recent attack, which exploited this weakness through brute-force techniques. Prior to this, Coldcard was considered one of the safest cold storage options, but the firmware change compromised its security assumptions.
"We have no evidence that AI was involved in discovering the firmware flaw or the subsequent exploit. The attack was arithmetic-based, leveraging the reduced entropy."
— Coinkite spokesperson
Bitkey Bitcoin Hardware Wallet - Secure Wallet for Self Custody, No Seed Phrase, 2-of-3 Multisig Security, NFC Device, iOS and Android Compatible
- Self Custody Bitcoin Wallet: Secure your bitcoin independently
- No Seed Phrase Needed: Reduces risk of loss or theft
- 2-of-3 Multisig Security: Multiple approvals for transactions
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Unconfirmed Role of AI in the Coldcard Breach
There is no concrete evidence linking AI, specifically models like Kimi K3, to the discovery or exploitation of the firmware vulnerability. The claims about AI involvement are based on timing and circumstantial correlations. Investigations are ongoing, but current technical analysis suggests the attack was arithmetic, not AI-driven. It remains unclear whether AI tools assisted in identifying the flaw or if the breach was purely a hardware and firmware engineering issue.
TANGEM Crypto Wallet Pack of 2 – Trusted Cold Storage Hardware Wallet
- Proven Security: Military-grade EAL6+ security with no hacks
- Easy Blockchain Access: Manage 90 blockchains with one tap
- Wide Cryptocurrency Support: Access 14,100+ coins, tokens, DeFi, NFTs
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Next Steps in Coldcard Security and Investigation
Coinkite is expected to review and update its firmware security protocols and conduct independent audits of past firmware updates. Law enforcement and cybersecurity firms are investigating the breach to determine the full scope and origin of the attack. Additionally, the community and industry are likely to reassess the role of AI in security audits and the robustness of hardware wallet firmware management.
ELLIPAL Crypto Seed Phrase Backup, 316 Stainless Steel Metal Seed Phrase Storage with Lock Hole, 24 Words Backup, Compatible with BIP39 Hardware Wallets, Ledger, Trezor
- Indestructible Material: 316 stainless steel, fireproof and waterproof
- Extreme Security: Offline storage protects against hackers and malware
- Supports 24 Words: Compatible with 12-24 word mnemonic phrases
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
Was AI involved in discovering the Coldcard firmware flaw?
There is no confirmed evidence that AI was involved. Claims are circumstantial, and current analysis suggests the exploit was arithmetic, relying on brute-force techniques made possible by reduced seed entropy.
How did the attackers drain the wallets without stealing private keys?
The firmware flaw reduced the randomness of seed generation, allowing attackers to regenerate private keys from predictable seeds and automate the theft process through precomputed addresses.
Could AI tools have helped prevent this breach?
While AI can assist in code analysis, the vulnerability was arithmetic in nature. Proper cryptographic review and independent audits are more reliable for preventing such flaws.
Will Coldcard or Coinkite issue a firmware update to fix the issue?
It is expected that Coinkite will release a new firmware version addressing the seed generation flaw, but specific details are not yet confirmed.
Source: ThorstenMeyerAI.com
