Security Scan Report: apparent-rose-rven22n0vn-c4a440f34x.edgeone.app

Submitted: Jan 30, 2026, 2:29:11 PMCompleted: Jan 30, 2026, 2:30:22 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is apparent-rose-rven22n0vn-c4a440f34x.edgeone.app and was registered NaN years ago.

Submitted URL: https://apparent-rose-rven22n0vn-c4a440f34x.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: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age
Minimal risk category (well‑established)
Low ranking does not indicate malicious activity here
No forms or data collection elements
No Indicators of Compromise
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(58%)

Domain Information

The domain 'apparent-rose-rven22n0vn-c4a440f34x.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'apparent-rose-rven22n0vn-c4a440f34x'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests 2 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://apparent-rose-rven22n0vn-c4a440f34x.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:162 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
healthcare medical
53%
news media journalism
50%
adult content
49%
real estate property
39%

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

T1947293C5EFE52BDCB41BC4545BBE672A2629A053D48C858CB5AE0E70DF44488F4FB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqFh9NVFYCCMnHVpx5pBrXd:shNIMi+o7Tp9HfX/Ld

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16648:giUoxRRADMCUeIk0RGyAhAMCSgCBjLggU4ABmEQIgDsBYIEOmcQwQDOYSZMu9IaATTGFRQAmgAUaVAoPGBiAoeMCKSRUgAkH

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:9c9c3c3c3c3c3c00
Perceptual Hash:dab8619a619a65c7
Difference Hash:3030707070707000
Wavelet Hash:dcfcbc3c3c3c3c00
Color Hash:#352dd2

Other Hashes

Crop Resistant:3030707070707000

Scan History

Scan history not available

Unable to load historical scan data