Security Scan Report: rapsurviveinsixblog-dp4psqwwurg0.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 16 domains to perform 27 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://rapsurviveinsixblog-dp4psqwwurg0.edgeone.app/airlines-group-aktien-dividende.html

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

AI Security Verdict

Moderate Risk

Confidence: 65%

4
Risk Score

The page is a news‑style article with moderate risk due to an unknown‑age hosting subdomain and heavily obfuscated JavaScript, but it lacks phishing, credential, or malware indicators.

Risk Factors (4)
Unknown subdomain age
Critical JavaScript obfuscation score
Low domain ranking
Hosting on a generic platform subdomain
Safety Factors (4)
No forms or credential collection
No IoC or YARA malware detections
Page marked as og:type=article – content is reporting, not impersonation
No network‑level IDS alerts
Domain age information unavailable

Details

Page Title

Understanding Airlines Group Aktien Dividende: Key Considerations for Investors

Scan Type

public

Domain Name Analysis

You're looking at domain 'rapsurviveinsixblog-dp4psqwwurg0.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'rapsurviveinsixblog-dp4psqwwurg0'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Breaking it apart gives 2 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://rapsurviveinsixblog-dp4psqwwurg0.edgeone.app/airlines-group-aktien-dividende.html

Page Load Overview

1.88s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:4,430 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
51%
corporate business
49%
download file sharing
36%
corporate
35%
adult content
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.0.120United States
AS13335Cloudflare, Inc.
3142.250.154.95United States
AS15169Google LLC
318.66.112.70United States
AS16509Amazon.com, Inc.
399.84.152.51United States
AS16509Amazon.com, Inc.
3172.240.108.68United States
AS7979Servers.com, Inc.
3172.66.166.184United States
AS13335Cloudflare, Inc.
354.192.35.73United States
AS16509Amazon.com, Inc.
343.152.26.58Singapore
3188.114.96.3United States
AS13335Cloudflare, Inc.
279--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196A21B379B902618EF5302C8A9D1B2FCBA3C8817D782C9A4746D7378DF486CB5476798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWFhnYf8zX+YXQptKh8vJCNZU/PHrpMv7JjIDWXporWag4MVWF:ZWFhnz+GzwyUXHrpMv7JjPqrWag4Wo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22366:REYjghHESoBJYKEAkcbk4uBoIUTJQVBECCfC0MBRAjgA4AJoqkqEQmkASBAUkKEIQBGRhZhQMYGEBoQjiJUAm4BAAXCJCfXC

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:ffffff818181c3ff
Perceptual Hash:b993c63a396d9298
Difference Hash:3200333333171737
Wavelet Hash:9effff8181818183
Color Hash:#1f8693

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data