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features
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Description

LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.

Description

Tayt serves as a fuzzer specifically designed for StarkNet smart contracts. It is advisable to utilize a Python virtual environment for this purpose. Upon initiation, users will be presented with the properties that need verification alongside the external functions employed to create a series of transactions. If any property is found to be violated, a detailed call sequence will be displayed, listing the order of function invocations, the arguments provided, the address of the caller, and any events triggered. Additionally, Tayt allows users to evaluate contracts that are capable of deploying other contracts, enhancing its utility in smart contract testing. This capability makes it an essential tool for developers looking to ensure the robustness and security of their smart contract implementations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer
Python
Starknet

Integrations

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer
Python
Starknet

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

LLVM Project

Founded

2003

Website

llvm.org/docs/LibFuzzer.html

Vendor Details

Company Name

Crytic

Country

United States

Website

github.com/crytic/tayt

Product Features

Product Features

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