Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Etheno serves as a versatile tool for Ethereum testing, acting as a JSON RPC multiplexer, an analytical tool wrapper, and a mechanism for test integration. It simplifies the challenges associated with configuring analysis tools such as Echidna, particularly for extensive multi-contract projects. Smart contract developers are encouraged to leverage Etheno for thorough contract testing, while Ethereum client developers can utilize it for effective differential testing of their implementations. By operating an efficient JSON RPC server, Etheno can route calls to multiple clients seamlessly. It also offers an API that allows for the filtering and alteration of JSON RPC calls, facilitating differential testing by dispatching JSON RPC sequences across various Ethereum clients. Furthermore, Etheno allows users to deploy and engage with multiple networks simultaneously and integrates smoothly with popular testing frameworks like Ganache and Truffle. With the capability to launch a local test network using a single command, Etheno ensures ease of setup. Users can also take advantage of a prebuilt Docker container for a quick installation and trial of Etheno. Given its versatility, Etheno offers a wide array of command-line arguments, catering to diverse testing needs and preferences. This flexibility makes it an invaluable resource for anyone involved in Ethereum development.
Description
Fuzz testing, commonly referred to as fuzzing, is a technique used in software testing that aims to discover implementation errors by injecting malformed or semi-malformed data in an automated way. For example, consider a scenario involving an integer variable within a program that captures a user's selection among three questions; the user's choice can be represented by the integers 0, 1, or 2, resulting in three distinct cases. Since integers are typically stored as fixed-size variables, a failure to implement the default switch case securely could lead to program crashes and various traditional security vulnerabilities. Fuzzing serves as an automated method for uncovering software implementation issues, enabling the identification of bugs when they occur. A fuzzer is a specialized tool designed to automatically inject semi-random data into the program stack, aiding in the detection of anomalies. The process of generating this data involves the use of generators, while the identification of vulnerabilities often depends on debugging tools that can analyze the program's behavior under the influence of the injected data. These generators typically utilize a mixture of established static fuzzing vectors to enhance the testing process, ultimately contributing to more robust software development practices.
API Access
Has API
No
API Access
Has API
No
Integrations
CI Fuzz
No
Docker
Yes
Echidna
Yes
Ethereum
Yes
JSON
Yes
Node.js
Yes
Parity
Yes
Solidity Fuzzing Boilerplate
Yes
Integrations
CI Fuzz
Yes
Docker
No
Echidna
No
Ethereum
No
JSON
No
Node.js
No
Parity
No
Solidity Fuzzing Boilerplate
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Crytic
Country
United States
Website
github.com/crytic/etheno
Vendor Details
Company Name
OWASP
Country
United States
Website
owasp.org/www-community/Fuzzing