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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 ImmuneBytes?

Enhance your blockchain's resilience with our outstanding auditing services, designed to provide unparalleled security in the decentralized ecosystem. If concerns about the safety of your assets keep you awake at night, consider our comprehensive offerings to put your mind at ease. Our experienced experts perform in-depth evaluations of your code to detect vulnerabilities within your smart contracts. We bolster the security of your blockchain solutions by addressing risks through a blend of security design, exhaustive assessments, audits, and compliance services. Our independent team of proficient penetration testers follows a detailed approach to identify weaknesses and potential exploits within your systems. As advocates for a more secure environment for everyone, we deliver an extensive and methodical analysis that significantly enhances the overall security of your offerings. Moreover, the recovery of lost funds is equally important as conducting a security audit. With our transaction risk monitoring system, you can efficiently oversee user funds, thus boosting trust and confidence in your platform. By focusing on these critical elements, we aspire to cultivate a secure future for blockchain technologies, ensuring that your assets remain protected against emerging threats. Our commitment to security and trust is what sets us apart in this rapidly evolving landscape.

Media

Media

Integrations Supported

Rust
Algorand
Avalanche
Binance
BitMart
C
ClusterFuzz
Echidna Finance
Ethereum
Ethernity
Go
Google ClusterFuzz
Haskell
Java
OCaml
Pando
Python
QEMU
Solana
Teal

Integrations Supported

Rust
Algorand
Avalanche
Binance
BitMart
C
ClusterFuzz
Echidna Finance
Ethereum
Ethernity
Go
Google ClusterFuzz
Haskell
Java
OCaml
Pando
Python
QEMU
Solana
Teal

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

ImmuneBytes

Company Location

United States

Company Website

www.immunebytes.com

Categories and Features

Categories and Features

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