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features
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support

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Description

The release of DocFetcher Pro version 1.15 has just occurred, marking a minor maintenance update that addresses three specific bugs: two crashes related to tar.gz and 7z archive files, along with a minor glitch in the preview pane. For more comprehensive information, you can refer to the changelog. Activity around DocFetcher Pro has been somewhat limited recently, primarily due to the development focus on the upcoming DocFetcher Pro Server. Another contributing factor is that most issues affecting DocFetcher Pro have already been resolved. For those unfamiliar, DocFetcher Pro Server is a specialized version designed to function as an indexing and search server, allowing access for multiple clients remotely via a web browser interface. Unfortunately, there is disappointing news regarding the expected release timeline for DocFetcher Pro Server; it is unlikely to be completed by the end of 2021 as originally planned, which has raised concerns among users eagerly awaiting its launch. As the development team continues to work on these projects, users are encouraged to stay updated on any further announcements.

Description

Fuzz testing, commonly referred to as fuzzing, is a technique used in software testing that aims to discover implementation errors by injecting malformed or semi-malformed data in an automated way. For example, consider a scenario involving an integer variable within a program that captures a user's selection among three questions; the user's choice can be represented by the integers 0, 1, or 2, resulting in three distinct cases. Since integers are typically stored as fixed-size variables, a failure to implement the default switch case securely could lead to program crashes and various traditional security vulnerabilities. Fuzzing serves as an automated method for uncovering software implementation issues, enabling the identification of bugs when they occur. A fuzzer is a specialized tool designed to automatically inject semi-random data into the program stack, aiding in the detection of anomalies. The process of generating this data involves the use of generators, while the identification of vulnerabilities often depends on debugging tools that can analyze the program's behavior under the influence of the injected data. These generators typically utilize a mixture of established static fuzzing vectors to enhance the testing process, ultimately contributing to more robust software development practices.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CI Fuzz

Integrations

CI Fuzz

Pricing Details

$40 one-time payment
Free Trial
Free Version

Pricing Details

No price information available.
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

DocFetcher Pro

Website

docfetcherpro.com

Vendor Details

Company Name

OWASP

Country

United States

Website

owasp.org/www-community/Fuzzing

Product Features

Product Features

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