Security Scan Report: sinardjajacannhugo-k77wcra0vq.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 21 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://sinardjajacannhugo-k77wcra0vq.edgeone.app/16647-how-to-style-a-dress-and-stay-warm-during-winter.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

Low risk site; no phishing or malware signs, but unknown subdomain age and high JS obfuscation suggest caution.

Risk Factors (2)
High JavaScript obfuscation score (potentially suspicious)
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors (4)
No forms collecting credentials or payments
No malicious Indicators of Compromise
No network IDS alerts
Page type is "article" with no brand claim
Domain age information unavailable

Details

Page Title

How to Style a Dress and Stay Warm During Winter

Scan Type

public

Domain Name Analysis

Domain 'sinardjajacannhugo-k77wcra0vq.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sinardjajacannhugo-k77wcra0vq'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sinardjajacannhugo-k77wcra0vq.edgeone.app/16647-how-to-style-a-dress-and-stay-warm-during-winter.html

Page Load Overview

13.05s
Total Load Time
173 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:1,554 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
38%
corporate
35%
education learning
32%
healthcare medical
30%
documentation technical
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
3104.21.0.120United States
AS13335Cloudflare, Inc.
3104.20.8.223United States
AS13335Cloudflare, Inc.
3172.240.108.76United States
AS7979Servers.com, Inc.
3142.251.13.95United States
AS15169Google LLC
3104.20.23.96United States
AS13335Cloudflare, Inc.
3142.251.14.94United States
AS15169Google LLC
217--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10652F923E685112CB7224595A5D2B77C7D698417D3E3CCA0B8EDB32987CA6D78C72388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGoThnYf8zX+UnzRCunQmXnPYnin2JKJ7J/cYZ8aJ+4j87PbF0PYYrWag4MDw:YoThnz+UtCuhXPY4JUYdBjQh0QYrWag2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13310:pG8ClFGQQYIVIggk1AEJRpiJiiQAARcC4OxmIGhlARcBhASQ4GpL0loCChhxE5QDWAbAAECUGUhfpAzjIIskKUQUSbDCE54Q

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:018f8381c3ffffff
Perceptual Hash:bc3893937179c1c3
Difference Hash:1e28332303000000
Wavelet Hash:009f818181fffff0
Color Hash:#4a40bf

Other Hashes

Crop Resistant:1e28332303000000

Scan History

Scan history not available

Unable to load historical scan data