Security Scan Report: secret-brown-jkjf6oafiq-rzvd8lmbcj.edgeone.app

Submitted: Mar 23, 2026, 5:06:43 AMCompleted: Mar 23, 2026, 5:08:03 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 11 HTTP transactions. The main domain is secret-brown-jkjf6oafiq-rzvd8lmbcj.edgeone.app and was registered NaN years ago.

Submitted URL: https://secret-brown-jkjf6oafiq-rzvd8lmbcj.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

Login form on a brand‑new free‑hosting subdomain suggests credential phishing – do not enter any credentials.

Risk Factors
Credential collection fields on a newly created subdomain
Domain age unknown (likely <7 days)
Hosted on a free hosting platform (.edgeone.app) with no reputation
Domain age information unavailable

Details

Page Title

Prince Soni CSC Centre

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

finance banking

(67%)

Domain Information

Domain 'secret-brown-jkjf6oafiq-rzvd8lmbcj.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'secret-brown-jkjf6oafiq-rzvd8lmbcj'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://secret-brown-jkjf6oafiq-rzvd8lmbcj.edgeone.app/

Page Load Overview

0.69s
Total Load Time
11
HTTP Requests
3
Domains
610 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:2,846 chars
Detector Agreement:67%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

finance banking67% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
67%
documentation technical
66%
technology software
60%
government public service
55%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.208.163United States
AS15169Google LLC
3172.217.16.202United States
AS15169Google LLC
343.152.26.58Singapore
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150C3C661B1E4213624A78CD2A4B34FAF3550D503E84B8254BAAC66D04FF7DE2ED3768D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tlNkeGlz0ubSZ3nL0f8/ItNby7Cw6Q3V1LAycQBkkXR+j:oz0uo0k/OM7h6QF1LAyCkwj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122379:FLyYJQiRAQoIByABBoyRAsMI1IVQYBpJKAGgAQicCSoACoONAQzHiDAJCxiAcIVBCMgZjI9kBAB0YXuwA1OEEB5AAgwaMQWi

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:0018181818181801
Perceptual Hash:8809372375dcdcdc
Difference Hash:cfb3b3b2b2b3334f
Wavelet Hash:01191b1b1f1f1f1f
Color Hash:#622d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data