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
    257 Ratings
    Company Website
  • Google Kubernetes Engine (GKE) Reviews & Ratings
    424 Ratings
  • 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
  • Boozang Reviews & Ratings
    15 Ratings
    Company Website
  • DataBuck Reviews & Ratings
    6 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 Atheris?

Atheris operates as a fuzzing engine tailored for Python, specifically employing a coverage-guided approach, and it extends its functionality to accommodate native extensions built for CPython. Leveraging libFuzzer as its underlying framework, Atheris proves particularly adept at uncovering additional bugs within native code during fuzzing processes. It is compatible with both 32-bit and 64-bit Linux platforms, as well as Mac OS X, and supports Python versions from 3.6 to 3.10. While Atheris integrates libFuzzer, which makes it well-suited for fuzzing Python applications, users focusing on native extensions might need to compile the tool from its source code to align the libFuzzer version included with Atheris with their installed Clang version. Given that Atheris relies on libFuzzer, which is bundled with Clang, users operating on Apple Clang must install an alternative version of LLVM, as the standard version does not come with libFuzzer. Atheris utilizes a coverage-guided, mutation-based fuzzing strategy, which streamlines the configuration process, eliminating the need for a grammar definition for input generation. However, this approach can lead to complications when generating inputs for code that manages complex data structures. Therefore, users must carefully consider the trade-offs between the simplicity of setup and the challenges associated with handling intricate input types, as these factors can significantly influence the effectiveness of their fuzzing efforts. Ultimately, the decision to use Atheris will hinge on the specific requirements and complexities of the project at hand.

Media

Media

Integrations Supported

FreeBSD
Fuchsia Service Maintenance Software
Google OSS-Fuzz
LibFuzzer
NetBSD
OpenBSD
Python

Integrations Supported

FreeBSD
Fuchsia Service Maintenance Software
Google OSS-Fuzz
LibFuzzer
NetBSD
OpenBSD
Python

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 Website

github.com/google/atheris

Categories and Features

Categories and Features

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
ClusterFuzz Reviews & Ratings

ClusterFuzz

Google
Jazzer Reviews & Ratings

Jazzer

Code Intelligence
go-fuzz Reviews & Ratings

go-fuzz

dvyukov
ToothPicker Reviews & Ratings

ToothPicker

Secure Mobile Networking Lab
ToothPicker Reviews & Ratings

ToothPicker

Secure Mobile Networking Lab