Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 19 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/24014-pokemon-go-forgot-to-turn-on-night-encounters-and-nighttime-collection-challenge.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is a low‑quality article about Pokemon Go on a newly created subdomain; no phishing or malware detected but the unknown age and low reputation warrant moderate caution.

Risk Factors (4)
Unknown subdomain age
Low domain reputation rank
High JS obfuscation (potentially suspicious code)
Brand mention on low‑ranked, untrusted domain
Safety Factors (4)
Page type is article (og:type=article) – indicates informational content
No login, payment, or credential‑harvesting forms
No Indicators of Compromise or YARA malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Pokemon Go Forgot To Turn on Night Encounters and Nighttime Collection Challenge

Scan Type

public

Domain Name Analysis

Domain 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dietplancityhugo-yizna5vpb1'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. It segments into 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://dietplancityhugo-yizna5vpb1.edgeone.app/24014-pokemon-go-forgot-to-turn-on-night-encounters-and-nighttime-collection-challenge.html

Page Load Overview

49.06s
Total Load Time
66 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:2,220 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
32%
government public service
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.250.154.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
197--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10952E82BBD80122C763D1656B4C1B2BC39395826E7114CA475F8F3359BCA6E7457334D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSUahnYf8zX+9sJKJqJ/cp6jqohWhO+IicQEobaqiYYrWag4MDw:nLhnz+9EJUow4jQnblYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13456:NR7BPFFYCQIzDABAgCEBQgANkAkeBAgI2LsAAgRRAUQBhDnJ0BURQIGADBgFoq4AT7EREM/CEQqeAliCgBIEQBiAgABCBloA

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:3800003c000000ff
Perceptual Hash:c343ed399216bc3c
Difference Hash:f0c1c4c8c0118010
Wavelet Hash:7e7c7c7e280000ff
Color Hash:#3a7866

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data