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What is Safepass.me?

Safepass.me serves as a cutting-edge offline password filter tailored for Active Directory, specifically designed to prevent the use of compromised passwords across various organizations. By cross-referencing user-defined passwords with an extensive database comprising over 550 million known compromised passwords, it effectively blocks weak or breached credentials, thereby enhancing security. The software operates entirely offline, ensuring that password data remains safeguarded and is never sent to external servers, which significantly strengthens compliance measures. Its installation is remarkably swift and straightforward, typically requiring less than five minutes to set up, and importantly, it does not necessitate any client-side software. Safepass.me seamlessly integrates with existing password policies and offers features like customizable wordlists and fuzzy matching to detect variations of compromised passwords, in addition to compatibility with Azure Active Directory and Office 365. Furthermore, it provides advanced protection modes for the Local Security Authority (LSA) and includes logging capabilities that support integration with other systems, making it a robust security solution for organizations. With Safepass.me, companies can effectively safeguard their password security, all while maintaining a user-friendly experience and operational efficiency. This innovative tool not only fortifies defenses against credential theft but also promotes a culture of security awareness within the organization.

What is Ffuf?

Ffuf is an efficient web fuzzer created using Go, enabling users to perform scans on active hosts through various scenarios and lessons, which can be run locally via a Docker container or through a web-based platform. It includes capabilities for virtual host discovery that do not rely on DNS records, enhancing its versatility. To make the most of Ffuf, users are required to supply a wordlist with the desired input values for testing. Multiple wordlists can be utilized by specifying them directly in the command line, and when employing more than one, it is crucial to assign a unique keyword for proper management. Ffuf begins by testing the first entry of the initial wordlist against all entries in the additional wordlist, progressing to the next entry of the first wordlist and continuing this sequence until every possible combination has been examined. This systematic approach guarantees comprehensive testing of potential inputs. Additionally, Ffuf provides a range of options for further tailoring the requests made during the fuzzing process, allowing users to fine-tune their assessments. By taking advantage of these features, users can significantly enhance the effectiveness of their web vulnerability evaluations while gaining deeper insights into their applications' security.

Media

Media

Integrations Supported

Active Directory
Microsoft Entra ID

Integrations Supported

Docker
Go
JSON

API Availability

API Availability

Pricing Information

$1,200 per year

Pricing Information

Free
Free Version

Supported Platforms

Windows

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Safepass.me

Date Founded

2009

Company Location

United Kingdom

Company Website

safepass.me/

Company Facts

Organization Name

Ffuf

Company Website

github.com/ffuf/ffuf

Categories and Features

Categories and Features

Fuzz Testing

Not specified

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