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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.
Description
Identify similar phishing domains that could be leveraged by attackers against your organization. Investigate the potential issues users may face when attempting to type your domain name accurately. Look for fraudulent domains that adversaries might exploit for malicious purposes, as this can help in identifying typosquatters, phishing schemes, scams, and instances of brand impersonation. This information serves as a valuable resource for enhanced targeted threat intelligence. The process of DNS fuzzing automates the detection of potentially harmful domains aimed at your organization by creating a vast array of variations from a specified domain name and checking if any of these variations are active. Furthermore, it can produce fuzzy hashes of web pages to identify ongoing phishing attempts, instances of brand impersonation, and additional threats, thereby providing a more comprehensive security measure. By utilizing this tool, organizations can significantly bolster their defenses against evolving cyber threats.
API Access
Has API
API Access
Has API
Integrations
Python
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
OpenRCE
Website
github.com/OpenRCE/sulley
Vendor Details
Company Name
dnstwist
Website
dnstwist.it/