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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
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