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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.

Description

Go-fuzz serves as a coverage-guided fuzzing tool designed specifically for testing Go packages, making it particularly effective for those that handle intricate inputs, whether they are textual or binary in nature. This method of testing is crucial for strengthening systems that need to process data from potentially harmful sources, such as network interactions. Recently, go-fuzz has introduced initial support for fuzzing Go Modules, inviting users to report any issues they encounter with detailed descriptions. It generates random input data, which is often invalid, and the function must return a value of 1 to indicate that the fuzzer should elevate the priority of that input in future fuzzing attempts, provided that it should not be stored in the corpus, even if it uncovers new coverage; a return value of 0 signifies the opposite, while other values are reserved for future enhancements. The fuzz function is required to reside in a package that go-fuzz can recognize, meaning the code under test cannot be located within the main package, although fuzzing of internal packages is permitted. This structured approach ensures that the testing process remains efficient and focused on identifying vulnerabilities in the code.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

dnstwist

Website

dnstwist.it/

Vendor Details

Company Name

dvyukov

Website

github.com/dvyukov/go-fuzz

Product Features

Product Features

Alternatives

Alternatives

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Atheris

Google
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LibFuzzer

LLVM Project
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ClusterFuzz

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