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Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Atheris
Yes
C
Yes
C++
Yes
ClusterFuzz
Yes
Ethereum
No
GitHub
Yes
Go
Yes
Google Cloud Storage
Yes
Java
Yes
Python
Yes
Integrations
Atheris
No
C
No
C++
No
ClusterFuzz
No
Ethereum
Yes
GitHub
No
Go
No
Google Cloud Storage
No
Java
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
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