Security Scan Report: wet-rose-nj2uhoqqje-a3f05lgul8.edgeone.app

Submitted: Mar 16, 2026, 3:09:30 PMCompleted: Mar 16, 2026, 3:11:04 PMpubliccompleted
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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 wet-rose-nj2uhoqqje-a3f05lgul8.edgeone.app and was registered NaN years ago.

Submitted URL: https://wet-rose-nj2uhoqqje-a3f05lgul8.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears safe.

Safety Factors
Absence of credential or payment fields
No external malicious domains referenced
Low Cisco Umbrella ranking alone does not indicate malicious intent
No cross‑origin credential exfiltration observed
Content appears to be a simple warning page
Domain age information unavailable

Details

Page Title

SAKIN TIKLAMA!

Scan Type

public

Language

🇹🇷

Turkish

(52% confidence)

Category

adult content

(41%)

Domain Information

Within the application-focused generic top-level domain (.app), 'wet-rose-nj2uhoqqje-a3f05lgul8.edgeone.app' is registered, featuring subdomain 'wet-rose-nj2uhoqqje-a3f05lgul8'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. It segments into 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://wet-rose-nj2uhoqqje-a3f05lgul8.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:52%
Script Type:Latin
Text Length:131 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content41% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
41%
phishing scam
32%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4A1D9659A730064E543F0BD3F5B530875EDE10BA68DCC29BD8F81418F41B522C976EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:4+oqSnsTTEyj2l4oKJxnzC0Xy7Qvtr9iR4uufSaCfLOqj:4+oqSnsTTEyj2l4oKJxW0i7Ityna+Oqj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5046:ggABBSgMQAAEDzIBSASBgAYBAAAAAhAgSCiESCBmmAUSsUgFUEAUFgQAgIAABkAAqgADBqwAOEQFAgpQGIgACBYwAJAcCgEJ

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:0000001818000000
Perceptual Hash:cccc3333cccc3333
Difference Hash:00100cb2320c1000
Wavelet Hash:0000343c1b2f0f0f
Color Hash:#7c931f

Other Hashes

Crop Resistant:00100cb2320c1000

Scan History

Scan history not available

Unable to load historical scan data