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Security Scan Report: hidden-coffee-85hb8lq0nh-6ej5xhspge.edgeone.dev

Submitted: Jan 11, 2026, 11:29:30 PMCompleted: Jan 11, 2026, 11:31:15 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 9 HTTP transactions. The main domain is hidden-coffee-85hb8lq0nh-6ej5xhspge.edgeone.dev and was registered NaN years ago.

Submitted URL: https://hidden-coffee-85hb8lq0nh-6ej5xhspge.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 70%

0
Risk Score

No evident threats; site appears legitimate.

Safety Factors
No suspicious indicators detected
No credential or payment collection
Content appears to be a simple personal page
Domain age information unavailable

Details

Page Title

Sirf Tumhare Liye ❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(67%)

Domain Information

The domain name 'hidden-coffee-85hb8lq0nh-6ej5xhspge.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'hidden-coffee-85hb8lq0nh-6ej5xhspge'. Count 7 characters in 'edgeone' with four vowels and three consonants. It segments into two 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://hidden-coffee-85hb8lq0nh-6ej5xhspge.edgeone.dev/

Page Load Overview

10.96s
Total Load Time
9
HTTP Requests
4
Domains
1.5 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
Text Length:179 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media67% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
67%
healthcare medical
46%
news media journalism
45%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.185.195Germany
AS15169
22.16.241.13Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.184.234United States
AS15169GOOGLE
243.174.247.29Singapore
AS139341ACE
94--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F142B79259BB0315D16361B67B930B8C3B3482477509D9293F9C63428F87DBCADE26B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6SS2FFMKkAq9e2ieerIofcD2k+sPSuC5/rGvZHPcjk0ny+qClxqHpP6vqAqhSSCs:z8e2nPig0nH5GHpLbNYW57

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12194:lShauko4wxkKEKWsQlUxQCEJgCFgggYAjAoEV0ADNRJqBGxEGCCAidNhXYH6ULAVDpiAEDWJFmpXlHSRQqYxUCFoHAGgYqRH

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:fcfce4e4f8d8e0e0
Perceptual Hash:d7f24c8c733388cc
Difference Hash:0010282830300c00
Wavelet Hash:fcf8f0e0f8d8e0c0
Color Hash:#bc79d2

Other Hashes

Crop Resistant:0010282830300c00

Scan History

Scan history not available

Unable to load historical scan data