Security Scan Report: foolish-scarlet-gsmnzllr1j-c4v6uhkuwn.edgeone.app

Submitted: Feb 21, 2026, 10:24:26 AMCompleted: Feb 21, 2026, 10:26:05 AMpubliccompleted
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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 foolish-scarlet-gsmnzllr1j-c4v6uhkuwn.edgeone.app and was registered NaN years ago.

Submitted URL: https://foolish-scarlet-gsmnzllr1j-c4v6uhkuwn.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

foolish-scarlet-gsmnzllr1j-c4v6uhkuwn.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(76%)

Domain Information

You're looking at domain 'foolish-scarlet-gsmnzllr1j-c4v6uhkuwn.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'foolish-scarlet-gsmnzllr1j-c4v6uhkuwn'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://foolish-scarlet-gsmnzllr1j-c4v6uhkuwn.edgeone.app/

Page Load Overview

1.32s
Total Load Time
5
HTTP Requests
1
Domains
16 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:76 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content76% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
76%
news media journalism
38%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszs2bMy8Oldq:8hoC9JSqzzbs6o3Sj3gcrsI2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:kyjxQ0qBICAAgHEEBCEhTJkEeAQfIGT1LiMgBoCKiIBioIBJyRAAwqoExLKDCEiWKSwkBCEAFjKZ4oaUAhFBAQDhCAtGQggC

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:fcdcc0c4f0f0f0f0
Color Hash:#57931f

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data