Security Scan Report: lost-fuchsia-yewc0xu7-dpxtyjv1n8ni.edgeone.app

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Submitted: Jun 19, 2026, 3:04:29 AMCompleted: Jun 19, 2026, 3:05:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lost-fuchsia-yewc0xu7-dpxtyjv1n8ni.edgeone.app and was registered NaN years ago.

Submitted URL: https://lost-fuchsia-yewc0xu7-dpxtyjv1n8ni.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows no malicious activity, contains no forms or threats, and is assessed as low risk.

Safety Factors
Absence of forms or data collection
No malicious code or external threats detected
Self‑branding content without impersonation
Domain age information unavailable

Details

Page Title

Jambheshwar Education Ad Video

Scan Type

public

Language

🇺🇸

English

(40% confidence)

Category

unknown

(0%)

Domain Information

Domain 'lost-fuchsia-yewc0xu7-dpxtyjv1n8ni.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'lost-fuchsia-yewc0xu7-dpxtyjv1n8ni'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lost-fuchsia-yewc0xu7-dpxtyjv1n8ni.edgeone.app/

Page Load Overview

0.51s
Total Load Time
3
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:40%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:144 chars
Detector Agreement:50%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B04186A305192416F34B71632ED29794248ECC03D217056E89EAE22DC2C5AA69723F1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hUZVACxvwr//yFsvo74WpcwkC3Ix3TRznCPpc9G3V+PiVIHGisxAvetL5cunaRRZ:AW//y+vC2wkAEznCPyEV+T9a5nazh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2181:AAgQAwCBAAEABgAAAAAICBAQACAIABAgUIIAAEAQEgAEQAAoIAAAAhAAQAAAAAAAAAQAAABAEiEQIAQAAiEiAAAIAAAAgAAg

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:f8f8f8f8f8d0c0c0
Perceptual Hash:dddc22f68233238e
Difference Hash:0010303030101000
Wavelet Hash:f8f8f8f8f8f0c080
Color Hash:#862d5f

Scan History

Scan history not available

Unable to load historical scan data