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About

A customer submits a new account application via the branch, online, mobile or contact center channel. Early Warning determines likelihood customer is who they say they are by leveraging our industry-leading bank data. Determine likelihood of a valid identity in real-time. Better detect synthetic and manipulated identities. Early Warning predicts likelihood customer will default due to first-party fraud in first nine months of account opening. Leverage predictive intelligence to better understand customer behavior. Early Warning predicts likelihood customer will default due to account mismanagement in first nine months of account opening. Tailor applicant’s privileges to align with your risk threshold. Leverage real-time, predictive analytics that enables better-informed decisions. Include more customers in the mainstream financial system while managing risk tolerance to potentially increase revenue.

About

FuzzDB was created to increase the likelihood of finding application security vulnerabilities through dynamic application security testing. It's the first and most comprehensive open dictionary of fault injection patterns, predictable resource locations, and regex for matching server responses. FuzzDB contains comprehensive lists of attack payload primitives for fault injection testing. These patterns, categorized by the attack and where appropriate platform type, are known to cause issues like OS command injection, directory listings, directory traversals, source exposure, file upload bypass, authentication bypass, XSS, HTTP header crlf injections, SQL injection, NoSQL injection, and more. For example, FuzzDB catalogs 56 patterns that can potentially be interpreted as a null byte and contains lists of commonly used methods and name-value pairs that trigger debug modes.

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

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations searching for an identity verification platform for first party fraud

Audience

Anyone requiring a security scanner solution to test their application protocols

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Early Warning
Founded: 1990
United States
www.earlywarning.com/products/identity-chek-service-new-account-scores

Company Information

FuzzDB
github.com/fuzzdb-project/fuzzdb

Alternatives

cidaas

cidaas

WidasConcepts

Alternatives

API Fuzzer

API Fuzzer

Fuzzapi
CI Fuzz

CI Fuzz

Code Intelligence
Altis Labs Nota

Altis Labs Nota

Altis Labs

Categories

Categories

Fuzz Testing Supported

Integrations

BlackArch Linux Not Supported
NoSQL Not Supported
NuDetect Supported
OWASP ZAP Not Supported

Integrations

BlackArch Linux Supported
NoSQL Supported
NuDetect Not Supported
OWASP ZAP Supported
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Claim Early Warning and update features and information
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