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What is dnstwist?

Examine potential phishing domains that attackers might use to target your organization. Assess the challenges users may encounter while accurately entering your domain name. Investigate fraudulent domains that malicious actors could exploit, aiding in the discovery of typosquatting, phishing attempts, scams, and brand impersonation cases. This analysis is crucial for improving targeted threat intelligence. The technique known as DNS fuzzing can automate the identification of harmful domains by generating numerous variations from a specific domain name and verifying their activity status. Additionally, this methodology can create fuzzy hashes of web pages, which helps in detecting ongoing phishing activities, cases of brand impersonation, and other security threats, ultimately offering a more robust security framework. By employing such tools, organizations can substantially enhance their defenses against the continuously shifting landscape of cyber threats. In turn, this proactive approach can help safeguard sensitive information and maintain user trust.

What is Google ClusterFuzz?

ClusterFuzz is a comprehensive fuzzing framework aimed at identifying security weaknesses and stability issues within software applications. Used extensively by Google, it serves as the testing backbone for all its products and functions as the fuzzing engine for OSS-Fuzz. This powerful infrastructure comes equipped with numerous features that enable the seamless integration of fuzzing into the software development process. It offers fully automated procedures for filing bugs, triaging them, and resolving issues across various issue tracking platforms. Supporting multiple coverage-guided fuzzing engines, it enhances outcomes through ensemble fuzzing and a range of fuzzing techniques. Moreover, the system provides statistical data to evaluate the effectiveness of fuzzers and track the frequency of crashes. Users benefit from a user-friendly web interface that streamlines the management of fuzzing tasks and crash analysis. ClusterFuzz also accommodates various authentication methods via Firebase, and it boasts functionalities for black-box fuzzing, reducing test cases, and pinpointing regressions through bisection. In conclusion, this powerful tool not only elevates software quality and security but also becomes an essential asset for developers aiming to refine their applications, ultimately leading to more robust and reliable software solutions.

Media

Media

Integrations Supported

Firebase
Honggfuzz
Jira
LibFuzzer
american fuzzy lop

Integrations Supported

Firebase
Honggfuzz
Jira
LibFuzzer
american fuzzy lop

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dnstwist

Company Website

dnstwist.it/

Company Facts

Organization Name

Google

Company Website

github.com/google/clusterfuzz

Categories and Features

Categories and Features

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