Security Scan Report: awanlokalspace-dp4a3zrz9fcx.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 26 IPs in 5 countries across 35 domains to perform 40 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://awanlokalspace-dp4a3zrz9fcx.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious activity detected; the site appears low risk.

Risk Factors (2)
Subdomain on a hosting platform with unknown age
Low Cisco Umbrella ranking
Safety Factors (3)
Absence of credential or payment collection forms
No malicious IoC or YARA detections
Content classified as entertainment media with no phishing cues
Domain age information unavailable

Details

Page Title

is jennifer lawrence dating

Scan Type

public

Domain Name Analysis

You're looking at domain 'awanlokalspace-dp4a3zrz9fcx.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'awanlokalspace-dp4a3zrz9fcx'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Tokenizing the label suggests 2 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://awanlokalspace-dp4a3zrz9fcx.edgeone.app/

Page Load Overview

1.36s
Total Load Time
2.9 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:1,759 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
94%
education learning
53%
news media journalism
49%
social media network
35%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15172.240.127.243United States
AS7979Servers.com, Inc.
12.23.245.203Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
154.192.35.30United States
AS16509Amazon.com, Inc.
1142.251.13.132United States
AS15169Google LLC
1142.251.127.119United States
AS15169Google LLC
1142.250.154.119United States
AS15169Google LLC
1172.67.68.254United States
AS13335Cloudflare, Inc.
1104.26.0.11United States
AS13335Cloudflare, Inc.
145.130.41.162St Petersburg, St.-Petersburg, Russia
AS198610Beget LLC
1188.114.97.3United States
AS13335Cloudflare, Inc.
4026--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18AA21B7B66D42A39524203C1708136FCB56FBE06EE63C8F1B5A7735A8BC5FC75821426

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSmhnYf8zX+SbBkbQbRbMg6PfPBmhVhHJQFhDKfPwUoNjag4n+MR:Tmhnz+iBQ8hMnnBmhVhWFhkPeNjag4+m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22986:FgiNBIJU4aBPGDhJQYAQK4jpPAKlRGEIbgAAMGl0BIAIUsFFOTCAggARVZigE2bnAgQDgYEJxyQYGggMq8LBojJwEstBIBQ0

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:00000018387c3e3e
Perceptual Hash:9b6c32cd9c326599
Difference Hash:31650df1f1f1f85c
Wavelet Hash:181000397d7f3f3f
Color Hash:#78743a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data