Security Scan Report: low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app

Submitted: Jan 6, 2026, 2:13:47 AMCompleted: Jan 6, 2026, 2:15:47 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 21 HTTP transactions. The main domain is low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app and was registered NaN years ago.

Submitted URL: https://low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app/clADOFAI.html

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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
No redirects or external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app' is registered with subdomain 'low-rose-dzbzk8y3i1-bcxpdovwvn'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 2 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://low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app/clADOFAI.html

Page Load Overview

14.35s
Total Load Time
5
HTTP Requests
2
Domains
84 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:38 chars
Detector Agreement:100%

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
2104.16.174.226United States
52--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D32175BAEF18C4371EA455DCA2B2706C3F13C44F6A0BC8D050ED2572AB4426E4CA8897

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:SjIJUJ8jIJUJiHDT/BCnzT/BCnBAvVxT/Gh0vVElpjT/Gh0oCJ/UOLrYoiCEza:SsJU6sJUMTpCzTpCgTeh0CTeh0oCNb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1345:AEAEAAAAQAAAAAQAAwAQAAEAhAACAAoAQAAAACAAAgAAgAAAAAQAQAACAACAAAAEAgIAAAAAAACAEAAAAIAAAAIIAAZAIAAC

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:ffffffe7e7ffffff
Perceptual Hash:e63299c9663299cd
Difference Hash:0000000c0c000000
Wavelet Hash:00003020c7cfffff
Color Hash:#783a56

Other Hashes

Crop Resistant:0000000c0c000000

Scan History

Scan history not available

Unable to load historical scan data