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Description

OSS-Fuzz provides ongoing fuzz testing for open source applications, a method renowned for identifying programming flaws. Such flaws, including buffer overflow vulnerabilities, can pose significant security risks. Through the implementation of guided in-process fuzzing on Chrome components, Google has discovered thousands of security weaknesses and stability issues, and now aims to extend this beneficial service to the open source community. The primary objective of OSS-Fuzz is to enhance the security and stability of frequently used open source software by integrating advanced fuzzing methodologies with a scalable and distributed framework. For projects that are ineligible for OSS-Fuzz, there are alternatives available, such as running personal instances of ClusterFuzz or ClusterFuzzLite. At present, OSS-Fuzz is compatible with languages including C/C++, Rust, Go, Python, and Java/JVM, with the possibility of supporting additional languages that are compatible with LLVM. Furthermore, OSS-Fuzz facilitates fuzzing for both x86_64 and i386 architecture builds, ensuring a broad range of applications can benefit from this innovative testing approach. With this initiative, we hope to build a safer software ecosystem for all users.

Description

The hevm project serves as a tailored implementation of the Ethereum Virtual Machine (EVM) designed for tasks like symbolic execution, unit testing, and debugging of smart contracts. Created by DappHub, it seamlessly integrates with the suite of tools offered by the same developer. The hevm command line interface enables users to symbolically execute smart contracts, conduct unit tests, debug contracts interactively while displaying the Solidity source code, or execute any arbitrary EVM code. It allows computations to be carried out using a local state established within a testing framework or retrieved from live networks through RPC calls. Users can initiate symbolic execution with specified parameters to detect assertion violations and can also customize certain function signature arguments while keeping others abstract. Notably, hevm adopts an eager approach to symbolic execution, meaning that it initially strives to investigate all branches of the program. This comprehensive method enhances the reliability and robustness of smart contract development and testing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Atheris
C
C++
ClusterFuzz
Ethereum
GitHub
Go
Google Cloud Storage
Java
Python
Rust
Solidity

Integrations

Atheris
C
C++
ClusterFuzz
Ethereum
GitHub
Go
Google Cloud Storage
Java
Python
Rust
Solidity

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

Google

Country

United States

Website

github.com/google/oss-fuzz

Vendor Details

Company Name

DappHub

Website

github.com/dapphub/dapptools/blob/master/src/hevm/README.md

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Product Features

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