libErator

libErator

Automatically generates fuzzing drivers for libraries by extracting constraints.

Framework for automated fuzzing driver synthesis for C/C++ libraries. Uses static analysis to extract API constraints and pre/post-conditions, then generates conforming drivers for libfuzzer. Includes a customized libfuzzer build and tooling to add new fuzzing targets and run experiments.

FuzzingStatic Analysis
Key facts
Maturity
Support
C4DT
Inactive
Lab
Active
  • Technical

HexHive Group

HexHive Group
Mathias Payer

Prof. Mathias Payer

Our research focuses on software and systems security. Despite efforts and improvements in bug discovery techniques, some exploitable vulnerabilities will remain. We target techniques that both enable developers to discover and remove bugs and make programs resilient against the exploitation of unknown or unpatched vulnerabilities.
To discover bugs we propose
  • (i) sanitization techniques that enforce a security property such as memory or type safety; given concrete program input, our sanitizers then flag any property violations
  • (ii) fuzzing techniques that leverage static and dynamic analysis to create program inputs to explore program areas that are not yet covered through existing test cases.
To protect against exploitable vulnerabilities, we focus on control-flow integrity using specific language semantics, enforcing type integrity, and protecting selective data. Under this premise, we focus on compiler-based, runtime-based, and language-based protection mechanisms and security policies that increase the resilience of applications against attacks (in the presence of software vulnerabilities).
All prototypes are released as open-source.

This page was last edited on 2026-03-03.