I witnessed firsthand how a protocol could live with a live bug (and possibly never catch it) because there's no way to responsibly disclose these issues.
In a review with @QuillAudits_AI , an RWA project <redacted> had forked a portion of @DinariGlobal's code but requested we treat it as a black box.
(Un)fortunately, I tend to digress when not working with code I'm familiar with -- and stumbled on a sizeable vulnerability in their codebase
Thankfully it wasn't exploited before it was patched, but they had ~$3m at risk (which grew to $60m in less than 4 months), big liquidity injection in RWA's this year (and likely for the next few years)💰
While this isn't Yearn-scale, many small drops fill a barrel.
Josselin has been talk about the need to beef up internal security -- this awareness is something I expect to grow as well, and this exploit is another example why
(ty for your talk with Rajeev and Alex at DSS).
Found some issues in a client's integration with Morpho this week.
Grateful there's a significantly reduced attack surface.
We're going to run through another review. Most definitely. 🏆
Found some issues in a client's integration with Morpho this week.
Grateful there's a significantly reduced attack surface.
We're going to run through another review. Most definitely. 🏆
Devcon 8 tickets are live!
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Tekedia Capital congratulates Pulse, our portfolio company, on its major partnership with Amazon AWS, where Pulse technologies are now integrated into AWS Bedrock.
We consider Pulse one of the most advanced document intelligence platforms in the world, and its exceptional capabilities have enabled it to serve some of the largest banks, insurance companies, and investment funds globally.
This partnership with Amazon AWS further validates the strength of the team, the technology, and the growing importance of intelligent document systems in the evolving AI economy.
From Amazon press announcement on this partnership: “Unlike traditional monolithic OCR pipelines,Pulse integrates vision language models with classical ML components specifically engineered for document understanding, creating an intelligent solution that extracts structured data with semantic awareness, generates improved supervised fine-tuning datasets for financial domain models, and enables deployment of custom large language models (LLMs) trained on your specific financial data. Pulse is deployed across global enterprises including Samsung, Cloudera, Howard Hughes, and Fortune 500 financial institutions and leading private equity firms processing high volumes of financial and operational documents.”
Congratulations Team Pulse for the amazing execution. Win more markets.