Our team won the runner-up prize of $3M at DARPA’s AI Cyber Challenge, demonstrating Buttercup’s world-class automated vulnerability discovery and patching capabilities with remarkable cost efficiency.
Now that DARPA’s AI Cyber Challenge (AIxCC) has officially ended, we can finally make Buttercup, our CRS (Cyber Reasoning System), open source!
While the AIxCC winner has not yet been announced, differences in the finalists’ approaches show that there are multiple viable paths forward to using AI for vulnerability detection.
Our CRS (Cyber Reasoning System), Buttercup, is now competing in the one and only scored round of DARPA’s AI Cyber Challenge (AIxCC) against six other teams to see which autonomous AI-driven system can find and patch the most software vulnerabilities.
Trail of Bits’ Cyber Reasoning System “Buttercup” is competing in DARPA’s AI Cyber Challenge Finals, which now features increased budgets, multiple rounds, diverse challenge types, and the ability to use custom AI models.
With DARPA’s AI Cyber Challenge (AIxCC) semifinal starting today at DEF CON 2024, we want to introduce Buttercup, our AIxCC submission. Buttercup is a Cyber Reasoning System (CRS) that combines conventional cybersecurity techniques like fuzzing and static analysis with AI and machine learning to find and fix software vulnerabilities. The system is designed to operate […]
Late last month, DARPA officially opened registration for their AI Cyber Challenge (AIxCC). As part of the festivities, DARPA also released some highly anticipated information about the competition: a request for comments (RFC) that contained a sample challenge problem and the scoring methodology. Prior rules documents and FAQs released by DARPA painted […]
We’re thrilled to announce that Trail of Bits will be competing in DARPA’s upcoming AI Cyber Challenge (AIxCC)! DARPA is challenging competitors to develop novel, fully automated AI-driven systems capable of securing the critical software that underpins the modern world. We’ve formed a team of world class software security and AI/ML experts, bringing together researchers, […]
The US government recently issued a request for information (RFI) about open-source software (OSS) security. In this blog post, we will present a summary of our response and proposed solutions. Some of our solutions include rewriting widely used legacy code in memory safe languages such as Rust, funding OSS solutions to improve […]
Do you need a blockchain? And if so, what kind? Trail of Bits has released an operational risk assessment report on blockchain technology. As more businesses consider the innovative advantages of blockchains and, more generally, distributed ledger technologies (DLT), executives must decide whether and how to adopt them. Organizations adopting these systems must understand and […]
A new Trail of Bits research report examines unintended centralities in distributed ledgers Blockchains can help push the boundaries of current technology in useful ways. However, to make good risk decisions involving exciting and innovative technologies, people need demonstrable facts that are arrived at through reproducible methods and open data. We believe the risks inherent […]
Originally published on October 12, 2021 Consensus protocols have come to play a critical role in many applications. Fischer, Lynch, and Paterson’s classic impossibility result showed that under reasonable assumptions, it can be impossible for a protocol to reach consensus. In Dwork, Lynch, and Stockmeyer’s paper “Consensus in the Presence […]
Graphtage is a command line utility and underlying library for semantically comparing and merging tree-like structures such as JSON, JSON5, XML, HTML, YAML, and TOML files. Its name is a portmanteau of “graph” and “graftage” (i.e., the horticultural practice of joining two trees together so they grow as one). Read on for what Graphtage does differently and better, why we developed it, how it works, and directions for using it as a library.
We, along with our partner Matthew Green at Johns Hopkins University, are using zero-knowledge (ZK) proofs to establish a trusted landscape in which tech companies and vulnerability researchers can communicate reasonably with one another without fear of being sabotaged or scorned. Over the next four years, we will push the state of the art in […]
Parsing is hard, even when a file format is well specified. But when the specification is ambiguous, it leads to unintended and strange parser and interpreter behaviors that make file formats susceptible to security vulnerabilities. What if we could automatically generate a “safe” subset of any file format, along with an associated, verified parser? That’s […]
