Security Scan Report: goldjavahugo-pjpb4bdkq4.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 15 domains to perform 19 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://goldjavahugo-pjpb4bdkq4.edgeone.app/20880-winter-house-season-3-cast-will-include-a-lot-of-new-yet-familiar-faces.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The site appears to be a low‑risk article page with no malicious indicators, though the subdomain’s age is unknown.

Risk Factors (3)
Unknown subdomain age
Low domain ranking
Hosted on a generic subdomain of a hosting platform
Safety Factors (4)
Page type is an article (og:type="article")
No credential collection or exfiltration observed
No malicious network or IDS alerts
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

'Winter House' Season 3 Cast Will Include a Lot of New, Yet Familiar Faces

Scan Type

public

Domain Name Analysis

The domain name 'goldjavahugo-pjpb4bdkq4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'goldjavahugo-pjpb4bdkq4'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Word splitting yields 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://goldjavahugo-pjpb4bdkq4.edgeone.app/20880-winter-house-season-3-cast-will-include-a-lot-of-new-yet-familiar-faces.html

Page Load Overview

13.27s
Total Load Time
94 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:4,357 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
36%
corporate
35%
entertainment media
33%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.18.11.207United States
AS13335Cloudflare, Inc.
1172.67.150.240United States
AS13335Cloudflare, Inc.
1101.33.10.57Frankfurt am Main, Hesse, Germany
1172.240.108.76United States
AS7979Servers.com, Inc.
1104.21.40.189United States
AS13335Cloudflare, Inc.
1142.251.13.95United States
AS15169Google LLC
1172.240.108.84United States
AS7979Servers.com, Inc.
1104.20.8.223United States
AS13335Cloudflare, Inc.
1142.251.14.94United States
AS15169Google LLC
1104.20.23.96United States
AS13335Cloudflare, Inc.
1910--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165622923BE49153C5B5213846085B3FC782D6836E79389B970BDD728A3CAACF55B7148

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM8hnYf8zX+/iJKJmuLeB/1PQCezYrWag4MD+n3:bQ8hnz+/GuLeB/RQPYrWag4A+n3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15924:GgBwgEEQwbP5xGCjgGjKbRTbVOCUkggSQVWHAsICVDID+Y1EIBVEVtCoh0MLhQpUKkABS/FAAJwGoCCDKAJn8g2DBgDp0Isg

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:81c7ffc3c3c3c3cf
Perceptual Hash:f5c78b34434bcb18
Difference Hash:4d2e16161616161e
Wavelet Hash:00c2dfc3c3c3c3cf
Color Hash:#d2ad79

Other Hashes

Crop Resistant:4d2e16161616161e

Scan History

Scan history not available

Unable to load historical scan data