Security Scan Report: reddcewy-dp3b659qrun4.edgeone.app

Submitted: Jul 23, 2026, 5:50:30 AMCompleted: Jul 23, 2026, 5:51:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is reddcewy-dp3b659qrun4.edgeone.app and was registered NaN years ago.

Submitted URL: https://reddcewy-dp3b659qrun4.edgeone.app/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The site lacks credential forms but is an unranked, unknown‑age subdomain on a hosting platform, warranting moderate risk.

Risk Factors
Unranked domain
Unknown subdomain age
Hosting platform subdomain
Domain age information unavailable

Details

Page Title

MAIL

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

blog personal website

(71%)

Domain Information

Domain 'reddcewy-dp3b659qrun4.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'reddcewy-dp3b659qrun4'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://reddcewy-dp3b659qrun4.edgeone.app/

Page Load Overview

0.98s
Total Load Time
1
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:176 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website71% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

blog personal website
71%
cryptocurrency blockchain
59%
technology software
44%
adult content
40%
news media journalism
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1101.33.10.10Frankfurt am Main, Hesse, Germany
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB92D72A267704296657E4BD37FB27053130D0136646DD69BEAC838C8F9AF9198B33CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3gWQW3eFUFOGh558L5m6vXzW9GKDX0LszsophS:9r3eFUFOGho1yyszst

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20808:MAMIoVRJANuhaFWShAAiAEFPgDKUUEcYM8Y1swAIQfKhA2BgAkkDBAYlggLgAnTrATQNNAIBRGAOkFChEoy0R8OKABkARCAL

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:00ffffffffffef00
Perceptual Hash:cc1973665919666e
Difference Hash:314cb2b2b2340a24
Wavelet Hash:00fc1c1cfcfcff00
Color Hash:#87c5b5

Other Hashes

Scan History

Scan history not available

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