Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LALAL.AI Reviews & Ratings
    3,611 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    390 Ratings
    Company Website
  • NeoLoad Reviews & Ratings
    360 Ratings
    Company Website
  • Windocks Reviews & Ratings
    6 Ratings
    Company Website
  • Kualitee Reviews & Ratings
    169 Ratings
    Company Website
  • CHAMPS Reviews & Ratings
    53 Ratings
    Company Website
  • Doc Sheets Reviews & Ratings
    3 Ratings
    Company Website
  • Sahi Pro Reviews & Ratings
    60 Ratings
    Company Website
  • LabWare LIMS Reviews & Ratings
    113 Ratings
    Company Website
  • groundcover Reviews & Ratings
    32 Ratings
    Company Website

What is american fuzzy lop?

American Fuzzy Lop, known as afl-fuzz, is a security-oriented fuzzer that employs a novel method of compile-time instrumentation combined with genetic algorithms to automatically create effective test cases, which can reveal hidden internal states within the binary under examination. This technique greatly improves the functional coverage of the fuzzed code. Moreover, the streamlined and synthesized test cases generated by this tool can prove invaluable for kickstarting other, more intensive testing methodologies later on. In contrast to numerous other instrumented fuzzers, afl-fuzz prioritizes practicality by maintaining minimal performance overhead while utilizing a wide range of effective fuzzing strategies that reduce the necessary effort. It is designed to require minimal setup and can seamlessly handle complex, real-world scenarios typical of image parsing or file compression libraries. As an instrumentation-driven genetic fuzzer, it excels at crafting intricate file semantics that are applicable to a broad spectrum of difficult targets, making it an adaptable option for security assessments. Additionally, its capability to adjust to various environments makes it an even more attractive choice for developers in pursuit of reliable solutions. This versatility ensures that afl-fuzz remains a valuable asset in the ongoing quest for software security.

What is Echidna?

Echidna is a tool developed using Haskell that focuses on fuzzing and property-based testing for Ethereum smart contracts. It implements sophisticated grammar-driven fuzzing techniques that take advantage of a contract's ABI to test user-defined predicates or Solidity assertions. With its emphasis on modularity, Echidna is designed to be easily expandable, allowing developers to add new mutations or tailor the testing to specific contracts under various scenarios. The tool creates inputs that are finely tuned to your codebase, offering optional functionalities for corpus collection, mutation strategies, and coverage guidance to help identify subtle bugs. By utilizing Slither for the extraction of essential information before the fuzzing process begins, Echidna enhances the effectiveness of its testing. Its integration with source code allows for precise identification of which lines are executed during tests, accompanied by an interactive terminal UI and options for text-only or JSON output formats. Moreover, it features automatic minimization of test cases for more efficient bug triage and fits seamlessly into the overall development workflow. Echidna also tracks maximum gas consumption during fuzzing and accommodates complex contract initialization through Etheno and Truffle, thereby improving its practicality for developers. In conclusion, Echidna is a powerful tool that plays a vital role in ensuring the robustness and security of Ethereum smart contracts, making it an essential asset for developers in the blockchain space.

Media

Media

Integrations Supported

C
C++
ClusterFuzz
Docker
Ethereum
FreeBSD
GitHub
Go
Google ClusterFuzz
Haskell
Homebrew
JSON
Java
NetBSD
OCaml
Objective-C
OpenBSD
Python
Rust

Integrations Supported

C
C++
ClusterFuzz
Docker
Ethereum
FreeBSD
GitHub
Go
Google ClusterFuzz
Haskell
Homebrew
JSON
Java
NetBSD
OCaml
Objective-C
OpenBSD
Python
Rust

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Company Location

United States

Company Website

github.com/google/AFL

Company Facts

Organization Name

Crytic

Company Website

github.com/crytic/echidna

Categories and Features

Categories and Features

Popular Alternatives

afl-unicorn Reviews & Ratings

afl-unicorn

Battelle

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
Sulley Reviews & Ratings

Sulley

OpenRCE
go-fuzz Reviews & Ratings

go-fuzz

dvyukov
go-fuzz Reviews & Ratings

go-fuzz

dvyukov
Honggfuzz Reviews & Ratings

Honggfuzz

Google