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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.

What is Accent EXCEL Password Recovery?

Accent EXCEL Password Recovery (AccentEPR) offers a robust solution for recovering and removing passwords from Microsoft Excel files, accommodating all editions from Excel 6 through 2024, as well as Microsoft 365 formats like .xls, .xlsx, .xlsm, and .xlsb. The software can swiftly bypass various protections, including Sheet, Workbook, Modify, and VBA safeguards, irrespective of how complex the passwords may be. Utilizing a CPU-optimized brute force technique, the tool is meticulously designed at the assembly level for both Intel and AMD processors to retrieve the necessary passwords for file access. Users have the option to select from three unique attack methods: brute force, positional mask, and dictionary with mutations. By employing masks, the search area can be considerably narrowed when specific parts of the password are known in advance, while the dictionary mode enables the merging of up to four wordlists, incorporating over 20 mutation rules to improve the efficiency of the search. Additionally, the software smartly automates attack scenarios by combining different techniques into a seamless process. With features such as auto-saving progress, it runs entirely offline and is compatible with both a graphical user interface (GUI) and command line interface (CLI), making it ideal for users on Windows 11 and 10. This flexibility guarantees that individuals can recover their passwords effectively and securely, regardless of their level of technical know-how, thereby enhancing the overall user experience.

Media

Media

Integrations Supported

Docker
Go
JSON

Integrations Supported

Microsoft Access

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

$40/month
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Ffuf

Company Website

github.com/ffuf/ffuf

Company Facts

Organization Name

Passcovery Co. Ltd.

Date Founded

2008

Company Website

passcovery.com

Categories and Features

Fuzz Testing

Not specified

Categories and Features

System Utilities

Not specified

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