Security Scan Report: emilmylove-t3poqczhka.edgeone.app

Submitted: Mar 1, 2026, 10:05:23 AMCompleted: Mar 1, 2026, 10:06:34 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is emilmylove-t3poqczhka.edgeone.app and was registered NaN years ago.

Submitted URL: https://emilmylove-t3poqczhka.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

No malicious activity detected; the site appears to be a harmless file collection page.

Safety Factors
No credential or payment forms present
No cross‑origin credential exfiltration observed
Hosted on a reputable free‑hosting platform (edgeone.app)
No redirects or network IDS alerts
Page title and content indicate a benign file collection directory
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

adult content

(88%)

Domain Information

Within the application-focused generic top-level domain (.app), 'emilmylove-t3poqczhka.edgeone.app' is registered; it also runs on subdomain 'emilmylove-t3poqczhka'. The second-level label 'edgeone' is 7 characters long holding 4 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://emilmylove-t3poqczhka.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:448 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

adult content88% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
88%
documentation technical
84%
entertainment media
77%
technology software
76%
healthcare medical
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137F225C1EFF42FDCA05F85549B7D7B3A3A256003A88D419C759E0EB0AF85985E0BB0B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+Qn13LNJN95PR9px5bTpYaEMH/jx3PARSd:wNIqQn13LNJN95PR9px5bTpYaEMH/jxz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35679:CCto2CSGIFUAg5qZoEKpwHAQAYFjCAhBFoAEAlhJgnIuQaMVIMSSSEBoBzHBIlSQiwLqWAzWBAEGQCnqDkAqADY1M0OFBNXh

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de753c38286845e7
Difference Hash:3030707070717171
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#c5878f

Other Hashes

Crop Resistant:3030707070717171

Scan History

Scan history not available

Unable to load historical scan data