Security Scan Report: genuine-blush-9kfzqafoku-0o4qnp8pju.edgeone.app

Submitted: Apr 7, 2026, 8:52:00 AMCompleted: Apr 7, 2026, 8:52:31 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is genuine-blush-9kfzqafoku-0o4qnp8pju.edgeone.app and was registered NaN years ago.

Submitted URL: https://genuine-blush-9kfzqafoku-0o4qnp8pju.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk site collecting passwords on a newly created subdomain; likely a phishing page.

Risk Factors
New or unknown‑age domain collecting credentials
Hosting platform subdomain with no established reputation
Low ranking in Cisco Umbrella (outside top 100 K)
Suspicious OCR text requesting saved passwords
Generic brand impersonation (social media) on an unrelated domain
Domain age information unavailable

Details

Page Title

Social Media Connect - Quick Access

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(91%)

Domain Information

You're looking at domain 'genuine-blush-9kfzqafoku-0o4qnp8pju.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'genuine-blush-9kfzqafoku-0o4qnp8pju'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://genuine-blush-9kfzqafoku-0o4qnp8pju.edgeone.app/

Page Load Overview

0.88s
Total Load Time
3
HTTP Requests
2
Domains
3 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:390 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
91%
technology software
51%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.16.175.226Singapore
143.152.26.58Singapore
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E12775A95BB1425A503E0A83FB747063170D003AA4FDC187FAD678C8F46E98ADB678D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:CbTd3MWkWiTsKxjTY6WUJA+81I1RQQwQfrdy8JPE24I06ws6yc:KqE2e6R6yc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9283:QREEQIUAECJRjGEKCCagaGCKBwA0yORQxgr4UFghwgA0IAaWiFDYJYRGhAkGP0xHCKrBA6QGrIAiqIBMSTDEgihCFFDkSNHA

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:0018381818181800
Perceptual Hash:d9c66699668c99c6
Difference Hash:0432323232323204
Wavelet Hash:f0f8f8f8f8f89800
Color Hash:#862d73

Scan History

Scan history not available

Unable to load historical scan data