Darpa

A fuzzer and a symbolic executor walk into a cloud

Finding bugs in programs is hard. Automating the process is even harder. We tackled the harder problem and produced two production-quality bug-finding systems: GRR, a high-throughput fuzzer, and PySymEmu (PSE), a binary symbolic executor with support for concrete inputs. From afar, fuzzing is a dumb, brute-force method that works surprisingly well, and symbolic execution is […]

Your tool works better than mine? Prove it.

No doubt, DARPA’s Cyber Grand Challenge (CGC) will go down in history for advancing the state of the art in a variety of fields: symbolic execution, binary translation, and dynamic instrumentation, to name a few. But there is one contribution that we believe has been overlooked so far, and that may prove to be the […]

The Problem with Dynamic Program Analysis

Developers have access to tools like AddressSanitizer and Valgrind that will tell them when the code that they’re running accesses uninitialized memory, leaks memory, or uses memory after it’s been freed. Despite the availability of these excellent tools, memory bugs still persist, still get shipped to users, and still get exploited in the wild. Most […]

How We Fared in the Cyber Grand Challenge

Artem Dinaburg
The Cyber Grand Challenge qualifying event was held on June 3rd, at exactly noon Eastern time. At that instant, our Cyber Reasoning System (CRS) was given 131 purposely built insecure programs. During the following 24 hour period, our CRS was able to identify vulnerabilities in 65 of those programs and rewrite 94 of them to […]

Close Encounters with Symbolic Execution

Artem Dinaburg
At THREADS 2014, I demonstrated a new capability of mcsema that enables the use of KLEE, a symbolic execution framework, on software available only in binary form. In the talk, I described how to use mcsema and KLEE to learn an unknown protocol defined in a binary that has never been seen before. In the example, […]

ReMASTering Applications by Obfuscating during Compilation

Trail of Bits
In this post, we discuss the creation of a novel software obfuscation toolkit, MAST, implemented in the LLVM compiler and suitable for denying program understanding to even the most well-resourced adversary. Our implementation is inspired by effective obfuscation techniques used by nation-state malware and techniques discussed in academic literature. MAST enables software developers to protect […]

McSema is Officially Open Source!

Artem Dinaburg
We are proud to announce that McSema is now open source! McSema is a framework for analyzing and transforming machine-code programs to LLVM bitcode. It supports translation of x86 machine code, including integer, floating point, and SSE instructions. We previously covered some features of McSema in an earlier blog post and in our talk at ReCON 2014. Our […]

Dear DARPA: Challenge Accepted.

We are proud to have one of the only seven accepted funded-track proposals to DARPA’s Cyber Grand Challenge. Computer security experts from academia, industry and the larger security community have organized themselves into more than 30 teams to compete in DARPA’s Cyber Grand Challenge —- a first-of-its-kind tournament designed to speed the development of automated security […]

Trail of Bits Releases Capture the Flag Field Guide

Free Online Coursework Allows Students, Professionals to Build Essential Offensive Security Skills New York, NY (May 20, 2014)–Security researchers at Trail of Bits today introduced the CTF Field Guide (Capture the Flag), a freely available, self-guided online course designed to help university and high school students hone the skills needed to succeed in the fast-paced, […]

Semantic Analysis of Native Programs with CodeReason

Andrew Ruef
Have you ever wanted to make a query into a native mode program asking about program locations that write a specific value to a register? Have you ever wanted to automatically deobfuscate obfuscated strings? Reverse engineering a native program involves understanding its semantics at a low level until a high level picture of functionality emerges. […]