Security Scan Report: qathcswblogramp-dp32anjyknop.edgeone.app

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Submitted: Jun 9, 2026, 6:30:16 PMCompleted: Jun 9, 2026, 6:31:32 PMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 22 domains to perform 2 HTTP transactions. The main domain is qathcswblogramp-dp32anjyknop.edgeone.app and was registered NaN years ago.

Submitted URL: https://qathcswblogramp-dp32anjyknop.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: 68%

2
Risk Score

The site shows no malicious activity, lacks forms or phishing cues, and only has minor uncertainty due to unknown subdomain age and redirects.

Risk Factors
Unknown subdomain age
Multiple redirects (7) without clear purpose
Safety Factors
No credential or payment forms
No malicious JavaScript or YARA matches
No network IDS alerts
Hosted on reputable edgeone.app platform
Domain age information unavailable

Details

Page Title

urkel turns into stefan

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(45%)

Domain Information

Domain 'qathcswblogramp-dp32anjyknop.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'qathcswblogramp-dp32anjyknop'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qathcswblogramp-dp32anjyknop.edgeone.app/

Page Load Overview

6.59s
Total Load Time
44
HTTP Requests
29
Domains
22.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,657 chars
Detector Agreement:60%

Website Classification

Primary Category

healthcare medical45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
45%
entertainment media
40%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.21.0.120United States
AS13335Cloudflare, Inc.
218.172.112.78United States
AS16509Amazon.com, Inc.
2146.75.121.171Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2150.171.28.10United States
AS8075Microsoft Corporation
2185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.64.150.187United States
AS13335Cloudflare, Inc.
218.66.102.21United States
AS16509Amazon.com, Inc.
2146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.251.13.95United States
AS15169Google LLC
4422--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FBB207A7A6D8093E236203495081B6FD302F6E07CFA6CDE5B977375593C4ED35862932

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7fhnYf8zX+6wpUco4Hj7gXetnIEm+eNuNQvb45Ee+VKQAtELG6379jD0XGAHFa/u:7fhnz+6wpUcoQ7hIVAqv009Aw9LAcouk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24153:hCBAADgIYnAOQjkEgAgREclgkVYI0amKARArJKPozo3CAHIQwigIQ6mEAFQgJoOBFSUIAtASBAABoAEwMAXgXcASCAgRcCMS

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:ffffffff918181c7
Perceptual Hash:e996b36c9219e68c
Difference Hash:8e9ac43b23071b0c
Wavelet Hash:e7ceff89818181c3
Color Hash:#79c2d2

Scan History

Scan history not available

Unable to load historical scan data