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Description

Strengthen your blockchain systems with our exceptional audit services that guarantee unmatched security in the decentralized landscape. If you're losing sleep over the potential loss of your assets to cybercriminals, explore our range of services and alleviate your concerns. Our seasoned professionals conduct thorough examinations of your code to identify weaknesses within your smart contracts. We enhance the security of your blockchain solutions by addressing risks through a combination of security design, comprehensive assessment, audit, and compliance services. Our independent team of skilled penetration testers engages in a meticulous process to uncover vulnerabilities and system exploits. As champions of creating a safer environment for all, we provide a thorough and systematic analysis that elevates the overall security of your product. Additionally, the recovery of funds is just as crucial as ensuring a security audit. With our transaction risk monitoring system, you can monitor user funds effectively, thereby increasing user trust and confidence in your platform. By prioritizing these aspects, we aim to foster a secure future for blockchain applications.

Description

Sulley is a comprehensive fuzz testing framework and engine that incorporates various extensible components. In my view, it surpasses the functionality of most previously established fuzzing technologies, regardless of whether they are commercial or available in the public domain. The framework is designed to streamline not only the representation of data but also its transmission and instrumentation processes. As a fully automated fuzzing solution developed entirely in Python, Sulley operates without requiring human intervention. Beyond impressive capabilities in data generation, Sulley offers a range of essential features expected from a contemporary fuzzer. It meticulously monitors network activity and keeps detailed records for thorough analysis. Additionally, Sulley is equipped to instrument and evaluate the health of the target system, with the ability to revert to a stable state using various methods when necessary. It efficiently detects, tracks, and categorizes faults that arise during testing. Furthermore, Sulley has the capability to perform fuzzing in parallel, which dramatically enhances testing speed. It can also autonomously identify unique sequences of test cases that lead to faults, thereby improving the overall effectiveness of the testing process. This combination of features positions Sulley as a powerful tool for security testing and vulnerability detection.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Algorand Yes 
Avalanche Yes 
Binance Yes 
BitMart Yes 
Boson Protocol Yes 
Echidna Finance Yes 
Ethereum Yes 
Ethernity Yes 
Haskell Yes 
MEXC Yes 
Pando Yes 
Python No 
Rust Yes 
Solana Yes 
Solidity Yes 
Teal Yes 
TrueFi Yes 

Integrations

Algorand No 
Avalanche No 
Binance No 
BitMart No 
Boson Protocol No 
Echidna Finance No 
Ethereum No 
Ethernity No 
Haskell No 
MEXC No 
Pando No 
Python Yes 
Rust No 
Solana No 
Solidity No 
Teal No 
TrueFi 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 Yes 
Live Rep (24/7) Yes 
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 Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ImmuneBytes

Country

United States

Website

www.immunebytes.com

Vendor Details

Company Name

OpenRCE

Website

github.com/OpenRCE/sulley

Product Features

Product Features

Alternatives

Alternatives

LibFuzzer Reviews

LibFuzzer

LLVM Project