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Security Scan Report: armed-aquamarine-vtpskn52ss-peg2nnloc5.edgeone.app

Submitted: Feb 17, 2026, 1:46:22 PMCompleted: Feb 17, 2026, 1:49:07 PMpubliccompleted
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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 armed-aquamarine-vtpskn52ss-peg2nnloc5.edgeone.app and was registered NaN years ago.

Submitted URL: https://armed-aquamarine-vtpskn52ss-peg2nnloc5.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

Site shows no security concerns; appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment forms present
No external links or suspicious scripts detected
No brand impersonation observed
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

armed-aquamarine-vtpskn52ss-peg2nnloc5.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(64%)

Domain Information

You're looking at domain 'armed-aquamarine-vtpskn52ss-peg2nnloc5.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'armed-aquamarine-vtpskn52ss-peg2nnloc5'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Word splitting yields 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://armed-aquamarine-vtpskn52ss-peg2nnloc5.edgeone.app/

Page Load Overview

6.35s
Total Load Time
8
HTTP Requests
5
Domains
54 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:141 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism64% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
64%
healthcare medical
52%
adult content
40%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
AS139341ACE
81--

Detected Technologies1

jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154048F77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8OldK:ShoC9JSqzzbs6o3Sj3gcrsc2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184641:m1RADIYcQIZxBVOESZIRQAFjRQQIVALwSCckABFhWWSBMxFUmiaiqAAQAColMZpAiAHjNMiyxBeZhLQMOZAJ4BqmKJKAYoIA

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:ffdfc3c700000000
Color Hash:#3a784d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data