Security Scan Report: criminal-coffee-839wnjr1xi-zsv1h34div.edgeone.app

Submitted: Feb 22, 2026, 2:47:26 PMCompleted: Feb 22, 2026, 2:48:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is criminal-coffee-839wnjr1xi-zsv1h34div.edgeone.app and was registered NaN years ago.

Submitted URL: https://criminal-coffee-839wnjr1xi-zsv1h34div.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

High‑risk brand impersonation site; likely phishing – avoid.

Risk Factors
Brand impersonation on low‑ranked domain
New subdomain on free hosting platform with unknown age
Low Cisco Umbrella ranking for a university claim
Suricata medium alert (HTTP response buffer too long)
Domain age information unavailable

Details

Page Title

criminal-coffee-839wnjr1xi-zsv1h34div.edgeone.app

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

documentation technical

(72%)

Domain Information

You're looking at domain 'criminal-coffee-839wnjr1xi-zsv1h34div.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'criminal-coffee-839wnjr1xi-zsv1h34div'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://criminal-coffee-839wnjr1xi-zsv1h34div.edgeone.app/

Page Load Overview

4.06s
Total Load Time
6
HTTP Requests
3
Domains
199 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:tr
Text Length:4,085 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical72% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
72%
education learning
57%
technology software
49%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:efQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszo2bMy8OldQ:NhoC9JSqzzbs6o3Sj3gcrs02eA+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:k1DoKNgEBQo6gOYIWOgmYAILCgABAbiwrzMVABLq7QBSC7sAgCBBRCSWQNAEBssg3BYKQYEQKGAhQFQ0SRhQNAKBAbl0SUBE

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#2dd272

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data