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Security Scan Report: passing-scarlet-ksz0ggy4n5-m1v0mw5op7.edgeone.app

Submitted: Feb 7, 2026, 7:51:01 AMCompleted: Feb 7, 2026, 7:52:22 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 passing-scarlet-ksz0ggy4n5-m1v0mw5op7.edgeone.app and was registered NaN years ago.

Submitted URL: https://passing-scarlet-ksz0ggy4n5-m1v0mw5op7.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate despite being currently unreachable.

Safety Factors
Well‑established domain (>365 days)
Absence of forms collecting sensitive data
No malicious Indicators of Compromise
No JavaScript malware detected
No phishing or brand impersonation cues
Domain age information unavailable

Details

Page Title

passing-scarlet-ksz0ggy4n5-m1v0mw5op7.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(50%)

Domain Information

Domain 'passing-scarlet-ksz0ggy4n5-m1v0mw5op7.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'passing-scarlet-ksz0ggy4n5-m1v0mw5op7'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Word splitting yields two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://passing-scarlet-ksz0ggy4n5-m1v0mw5op7.edgeone.app/

Page Load Overview

2.85s
Total Load Time
2
HTTP Requests
1
Domains
3 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:140 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical50% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
50%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz+2bMy8OldE:PhoC9JSqzzbs6o3Sj3gcrsK2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:UmiEQFKJYfDgkKsA2IBH4gBSwQYSkGDdKZAEhCSAyIs0MbBAQEAwAgIEAeJhKkG0AAyiBjgkkCOACISk0pPgwCRHIboEAsBR

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:#79d2a4

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data