Security Scan Report: interim-blush-26jbbcs8s1-6nk8hfoxl9.edgeone.app

Submitted: Feb 21, 2026, 1:40:27 PMCompleted: Feb 21, 2026, 1:41:35 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is interim-blush-26jbbcs8s1-6nk8hfoxl9.edgeone.app and was registered NaN years ago.

Submitted URL: https://interim-blush-26jbbcs8s1-6nk8hfoxl9.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Site hosts login forms on a brand‑new subdomain, indicating credential phishing – treat as confirmed scam.

Risk Factors
Login forms with password fields on a newly created subdomain
Low domain reputation (ranking 455,732)
Subdomain on free hosting platform with unknown age
Domain age information unavailable

Details

Page Title

interim-blush-26jbbcs8s1-6nk8hfoxl9.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'interim-blush-26jbbcs8s1-6nk8hfoxl9.edgeone.app' is registered; it also runs on subdomain 'interim-blush-26jbbcs8s1-6nk8hfoxl9'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests 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://interim-blush-26jbbcs8s1-6nk8hfoxl9.edgeone.app/

Page Load Overview

1.19s
Total Load Time
16
HTTP Requests
5
Domains
395 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:1,368 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
68%
cryptocurrency blockchain
43%
social media network
41%
government public service
33%
documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1643.152.26.58Singapore
161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C048E77329A063986458498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszq2bMy8Oldi:ohoC9JSqzzbs6o3Sj3gcrsG2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:sEBLMwAciAwDO0hSU8egwEQJpgKA4KAAIwFLMQZKBwYEB2giIgBIAICcsYQBCFOAAAshYUDNmXSAFFYAaAAZLGSQpqeIQIjp

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:f0d0c0c4f0f0f0f0
Color Hash:#783a55

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data