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Average Ratings 0 Ratings
Description
Honggfuzz is a software fuzzer focused on enhancing security through its advanced fuzzing techniques. It employs evolutionary and feedback-driven methods that rely on both software and hardware-based code coverage. This tool is designed to operate in a multi-process and multi-threaded environment, allowing users to maximize their CPU's potential without needing to launch multiple fuzzer instances. The file corpus is seamlessly shared and refined across all processes undergoing fuzzing, which greatly enhances efficiency. When persistent fuzzing mode is activated, Honggfuzz exhibits remarkable speed, capable of executing a simple or empty LLVMFuzzerTestOneInput function at an impressive rate of up to one million iterations per second on modern CPUs. It has a proven history of identifying security vulnerabilities, including the notable discovery of the only critical vulnerability in OpenSSL to date. Unlike other fuzzing tools, Honggfuzz can detect and report on hijacked or ignored signals that result from crashes, making it a valuable asset for identifying hidden issues within fuzzed programs. Its robust features make it an essential tool for security researchers aiming to uncover hidden flaws in software systems.
Description
American fuzzy lop is a security-focused fuzzer that utilizes a unique form of compile-time instrumentation along with genetic algorithms to automatically generate effective test cases that can uncover new internal states within the targeted binary. This approach significantly enhances the functional coverage of the code being fuzzed. Additionally, the compact and synthesized test cases produced by the tool can serve as a valuable resource for initiating other, more demanding testing processes in the future. Unlike many other instrumented fuzzers, afl-fuzz is engineered for practicality, boasting a minimal performance overhead while employing a diverse array of effective fuzzing techniques and strategies for minimizing effort. It requires almost no setup and can effortlessly manage complicated, real-world scenarios, such as those found in common image parsing or file compression libraries. As an instrumentation-guided genetic fuzzer, it excels at generating complex file semantics applicable to a wide variety of challenging targets, making it a versatile choice for security testing. Its ability to adapt to different environments further enhances its appeal for developers seeking robust solutions.
API Access
Has API
API Access
Has API
Integrations
ClusterFuzz
FreeBSD
Google ClusterFuzz
NetBSD
C
C++
Cygwin
Go
Java
OCaml
Integrations
ClusterFuzz
FreeBSD
Google ClusterFuzz
NetBSD
C
C++
Cygwin
Go
Java
OCaml
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Country
United States
Website
github.com/google/honggfuzz
Vendor Details
Company Name
Country
United States
Website
github.com/google/AFL