Security Scan Report: picoiumhugo-n37mpymvzy.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 22 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://picoiumhugo-n37mpymvzy.edgeone.app/19539-ftac-ripper-56-underbarrel-in-warzone-mw3-and-mw2.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious forms or brand impersonation; only minor suspicion due to unknown subdomain age and low ranking.

Risk Factors (2)
Subdomain on a hosting platform with unknown creation date
Low domain ranking (outside top 100 K) adds slight suspicion
Safety Factors (3)
Absence of credential or payment collection forms
No malicious JavaScript patterns or IDS alerts detected
Content appears to be technical documentation about a game item
Domain age information unavailable

Details

Page Title

FTac Ripper 56 | Underbarrel in Warzone, MW3 and MW2

Scan Type

public

Domain Name Analysis

You're looking at domain 'picoiumhugo-n37mpymvzy.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'picoiumhugo-n37mpymvzy'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Splitting it apart reveals two 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://picoiumhugo-n37mpymvzy.edgeone.app/19539-ftac-ripper-56-underbarrel-in-warzone-mw3-and-mw2.html

Page Load Overview

12.16s
Total Load Time
218 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:1,560 chars
Detector Agreement:60%

Website Classification

Primary Category

documentation technical74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
74%
healthcare medical
60%
adult content
52%
government public service
47%
education learning
43%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.20.23.96United States
AS13335Cloudflare, Inc.
3101.33.10.57Frankfurt am Main, Hesse, Germany
3172.240.127.242United States
AS7979Servers.com, Inc.
3104.20.7.223United States
AS13335Cloudflare, Inc.
3172.67.150.240United States
AS13335Cloudflare, Inc.
3192.178.183.94United States
AS15169Google LLC
3142.251.13.95United States
AS15169Google LLC
227--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16642E763AA91103C763182D8B8D1FB7D79998037C7A188B1B5E6A769DFCA2C34C72345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGNhnYf8zX+UbJKJgJ/cJ8JkgTYYrWag4MDw:YNhnz+U1JUqkRYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13026:DHgJAgmYaimpMgAiUAC4MhTAiSJhBRIaUiQOAljCiCEQgESEMhkwcISCCQBpVYZDRsaPCRRhjBlgcwQScJxyEkUQZqAAOWch

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:83df8381cfffffff
Perceptual Hash:bc38d393396961c3
Difference Hash:1f3823373b002000
Wavelet Hash:009f818183ffffb0
Color Hash:#78713a

Other Hashes

Crop Resistant:1f3823373b002000

Scan History

Scan history not available

Unable to load historical scan data