Security Scan Report: app.usabilitygo.com

Redirected to: https://app.usabilitygo.com/auth

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Submitted: Jan 15, 2026, 2:56:50 AMCompleted: Jan 15, 2026, 2:58:50 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is app.usabilitygo.com and was registered NaN years ago.

Submitted URL: https://app.usabilitygo.com/

Effective URL: https://app.usabilitygo.com/authRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

New, unranked domain with a login form; classified as confirmed phishing scam.

Risk Factors
Brand‑new domain (<7 days) with credential‑collecting form
Unranked domain lacking any reputation
Login form that could harvest email addresses for phishing
Domain age information unavailable

Details

Page Title

UsabilityGo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

Domain 'app.usabilitygo.com' uses the commercial generic top-level domain (.com) and includes subdomain 'app'. The registrable portion 'usabilitygo' spans 11 characters holding 5 vowels versus six consonants. Breaking it apart gives 2 words: usability, go. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.usabilitygo.com/

Page Load Overview

1.24s
Total Load Time
13
HTTP Requests
3
Domains
165 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:273 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
cryptocurrency blockchain
33%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.131United States
4172.217.20.138United States
4185.158.133.1Frankfurt am Main, Hesse, Germany
AS13335CLOUDFLARENET
133--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AA29641741C12386D2FEA55FAC8A32CE125F402EEE64465B10E148EE6E3FF135EEB55

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7SO8U5Q6nBOmEAUU/cxksc64Jysq7vGYcCRYQVYzB/O:qsnB7cxksc64Jysq7vGYcCRYQVYzBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22258:BwaBEaUAmBCDl4kIHAJgGBpQCKEEMCmCi2CCwAgsiJS0ACSnmgNRJ0HEw1ISgAGiAJggmOpw0AeFiyMKBgBgID4CATAEwDAk

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffe7e7ffe7e7e7ff
Perceptual Hash:b386cc663399cc63
Difference Hash:100c0c084d0c0c00
Wavelet Hash:10000404e7ffe7ff
Color Hash:#a187c5

Other Hashes

Crop Resistant:100c0c084d0c0c00

Scan History

Scan history not available

Unable to load historical scan data