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

  • V2 Cloud Reviews & Ratings
    254 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • Adobe PDF Library SDK Reviews & Ratings
    35 Ratings
    Company Website
  • Zengo Wallet Reviews & Ratings
    413 Ratings
    Company Website
  • Inuvika OVD Enterprise Reviews & Ratings
    40 Ratings
    Company Website
  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • Boozang Reviews & Ratings
    14 Ratings
    Company Website
  • People Data Labs Reviews & Ratings
    63 Ratings
    Company Website
  • CCM Platform Reviews & Ratings
    3 Ratings
    Company Website
  • MuukTest Reviews & Ratings
    29 Ratings
    Company Website

What is syzkaller?

Syzkaller is an unsupervised, coverage-guided fuzzer designed to uncover vulnerabilities in kernel environments, and it supports multiple operating systems including FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Initially created to focus on fuzzing the Linux kernel, its functionality has broadened to support a wider array of operating systems over time. When a kernel crash occurs in one of the virtual machines, syzkaller quickly begins the process of reproducing that crash. By default, it utilizes four virtual machines to carry out this reproduction and then strives to minimize the program that triggered the crash. During this reproduction phase, fuzzing activities may be temporarily suspended, as all virtual machines could be consumed with reproducing the detected issues. The time required to reproduce a single crash can fluctuate greatly, ranging from just a few minutes to possibly an hour, based on the intricacy and reproducibility of the crash scenario. This capability to minimize and evaluate crashes significantly boosts the overall efficiency of the fuzzing process, leading to improved detection of kernel vulnerabilities. Furthermore, the insights gained from this analysis contribute to refining the fuzzing strategies employed by syzkaller in future iterations.

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.

Media

Media

Integrations Supported

FreeBSD
NetBSD
OpenBSD
C
C++
ClusterFuzz
Fuchsia Service Maintenance Software
Go
Google ClusterFuzz
Java
OCaml
Objective-C
Python
QEMU
Rust

Integrations Supported

FreeBSD
NetBSD
OpenBSD
C
C++
ClusterFuzz
Fuchsia Service Maintenance Software
Go
Google ClusterFuzz
Java
OCaml
Objective-C
Python
QEMU
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/syzkaller

Company Facts

Organization Name

Google

Company Location

United States

Company Website

github.com/google/AFL

Categories and Features

Categories and Features

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project

Popular Alternatives

afl-unicorn Reviews & Ratings

afl-unicorn

Battelle
LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
ClusterFuzz Reviews & Ratings

ClusterFuzz

Google
Sulley Reviews & Ratings

Sulley

OpenRCE
ToothPicker Reviews & Ratings

ToothPicker

Secure Mobile Networking Lab
go-fuzz Reviews & Ratings

go-fuzz

dvyukov