Spec2RunAIAgileAI Labs
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Related Products
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About
Ffuf is a fast web fuzzer written in Go. You can also practice your Ffuf scans against a live host with different lessons and use cases either locally by using the Docker container or against the live-hosted version. Provides virtual host discovery (without DNS records). In order to tell Ffuf about different inputs to test out, a wordlist is needed. You can supply one or more wordlists on the command line, and in case you wish (or are using multiple wordlists) you can choose a custom keyword for them. You can supply Ffuf with multiple wordlists (remember to configure a custom keyword for them though). The first word of the first wordlist is tested against all the words from the second wordlist before moving along to test the second word in the first wordlist against all the words in the second wordlist. In short, all of the different combinations are tried out. There are quite a few different ways to customize the request.
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About
Spec2RunAI is an AI test executor that runs your existing manual test cases exactly as written, in plain English: no scripting, no command language, no selectors to maintain. Steps that have already passed replay deterministically in about two seconds. When your application changes, self-healing and Autonomous Tuning reword a failing step against the live screen under Assertion Lock, so a fix never changes what a test verifies, and no stored test changes without your approval. Every run ends in a Run Evidence Report: verification coverage for each step, screenshots, regressions against previous runs, failure triage with developer-ready defect reports and SHA-256 script fingerprints, exported as PDF for sign-off or Markdown for Jira. Run in the cloud, on your own machines with a local agent for internal apps, or in real Chrome and Edge on Windows and macOS through your BrowserStack account. Data-driven runs, 2FA test accounts and CI/CD triggers are built in. Web apps only.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Users requiring a solution to test their code and identify vulnerabilities in their applications
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Audience
QA teams and software development teams
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0.03/engagement
Each AI engagement costs $0.03. Engagements are sold in bundles of 100,000 for $3,000, valid for one year. A step uses four engagements for its first AI resolution and one engagement for each validated replay.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationFfuf
github.com/ffuf/ffuf
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Company InformationAgileAI Labs
Founded: 2023
Manchester, NH, United States
agileailabs.com/test-automation.html
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Azure DevOps
Not Supported
BrowserStack
Not Supported
Docker
Supported
GitHub Actions
Not Supported
Go
Supported
JSON
Supported
Jenkins
Not Supported
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Integrations
Azure DevOps
Supported
BrowserStack
Supported
Docker
Not Supported
GitHub Actions
Supported
Go
Not Supported
JSON
Not Supported
Jenkins
Supported
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