Bitcoin Red Team Identifies 85 Critical Flaws in 390 Repositories

iconCoinspeaker
Share
AI summary iconSummary
A volunteer Bitcoin security group, the Bitcoin Red Team, uncovered 85 critical and 635 high-severity flaws in 390 open-source Bitcoin projects within 27.5 hours. The audit, backed by OpenSats, used AI tools like Kimi K3 and GPT Sol. The effort followed a major RNG flaw in Coldcard wallets that caused over $100 million in losses. The 16-member team is now working nonstop to verify and disclose the issues. A bitcoin ETF approval could raise security demands across the spot bitcoin ETF ecosystem.

In the lastest Bitcoin news today, A volunteer security effort called Bitcoin Red Team, led by Bitcoin developer Calle and Rob Hamilton, CEO of AnchorWatch, filed 4,962 findings across 390 open-source Bitcoin repositories in the first 27.5 hours of operation, identifying 85 critical and 635 high-severity issues, according to a Bitcoin Magazine report published August 5, 2026.

The audit was funded through more than $40,000 in AI compute costs, covered by OpenSats, a 501(c)(3) nonprofit dedicated to open-source Bitcoin development.

This is not simply a bug-bounty sweep. It is a structural stress test of the entire Bitcoin software ecosystem, triggered by a critical random number generator (RNG) vulnerability in Coldcard hardware wallets that has resulted in more than $100 million in confirmed Bitcoin losses.

EXPLORE: Best Meme Coins to Buy for August

Bitcoin News Today: BTC Red Team Audit, Scope, Methodology, and AI Stack

The Red Team’s review harness, which reached 171,599 lines of code, is designed to identify load-bearing Bitcoin software libraries, document vulnerabilities, reproduce them locally, and package results into responsible disclosure reports for affected maintainers.

21.4% of findings have been reproducible as of the latest update, and Calle described the team’s pace as averaging roughly one critical exploit per hour per person.

The AI models deployed include Kimi K3, GPT Sol, Fable, Opus, and GLM5.2. Early in the operation, access to OpenAI and Anthropic infrastructure was restricted, forcing heavier reliance on Chinese open-source models, a dynamic that drew comment from industry observers who flagged it as a signal of uneven U.S. AI access.

Hamilton’s August 4 post referenced Fable, indicating Anthropic access had been established, and OpenAI has since confirmed access to GPT Sol for the project.

The team has no public website or GitHub repository at this writing, but Hamilton has stated the harness will be open-sourced so that Bitcoin companies can run it against closed-source codebases – a step that would extend the audit surface beyond the 390 repositories already reviewed.

Background: Coldcard Exploit as the Catalyst

The Red Team effort launched directly in response to the Coldcard breach, in which attackers exploited a flaw in the wallet’s RNG to drain funds from MK3+ devices. At least 15 distinct attackers have been identified by Galaxy Research as having exploited the vulnerability, per a separate Cointelegraph report. Coinkite, the manufacturer, has released patched firmware, but Bitcoin Magazine’s advisory notes that users who have not migrated funds to seeds generated under secure firmware remain at risk.

Boltz exchange separately announced a temporary operational pause to address AI-driven vulnerability discovery stemming from the same post-Coldcard security environment, illustrating how the Red Team’s work is creating immediate, industry-wide triage pressure.

DISCOVER: Best Meme Coins to Buy in 2026

The post 85 Critical Flaws Found as AI-Powered Bitcoin Security Audit Hits 390 Repos appeared first on Coinspeaker.

Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information. Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.