The CERT Basic Fuzzing Framework (BFF) is a software testing tool that
finds defects in applications that run on the Linux and Mac OS X
platforms. BFF performs mutational fuzzing on software that consumes
file input. (Mutational fuzzing is the act of taking well-formed
input data and corrupting it in various ways, looking for cases that
cause crashes.)

The BFF automatically collects test cases that cause
software to crash in unique ways, as well as debugging information
associated with the crashes. The goal of BFF is to minimize the effort
required for software vendors and security researchers to efficiently
discover and analyze security vulnerabilities found via fuzzing. 

Some of the specific features BFF offers are:

• Minimal initial configuration is required to start a
  fuzzing campaign
• Minimal supervision of the fuzzing campaign is required,
  as BFF can automatically recover from many common problems
  that can interrupt fuzzing campaigns
• Uniqueness determination through intelligent backtrace
  analysis
• Automated test case minimization reduces the effort
  required to analyze results by distilling the test case to the
  minimal changes to the input data required to induce a
  specific crash
• Online machine learning applied to fuzzing parameter and
  input file selection to improve the efficacy of the
  campaign
• Distributed fuzzing support
• Crash severity / exploitability triage