Security Scan Report: communist-coffee-cqktwkfiee-9flehyczce.edgeone.app

Submitted: Mar 14, 2026, 12:05:44 PMCompleted: Mar 14, 2026, 12:07:03 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 communist-coffee-cqktwkfiee-9flehyczce.edgeone.app and was registered NaN years ago.

Submitted URL: https://communist-coffee-cqktwkfiee-9flehyczce.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

Fake CBI arrest notice on a new subdomain; likely a brand‑impersonation scam.

Risk Factors
Brand impersonation of a government agency on an unknown‑age subdomain
Suspicious intimidation content (fake arrest notice)
Subdomain on a free hosting platform with no established reputation
Domain age information unavailable

Details

Page Title

CBI Confidential Letter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(98%)

Domain Information

Domain 'communist-coffee-cqktwkfiee-9flehyczce.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'communist-coffee-cqktwkfiee-9flehyczce'. Count 7 characters in 'edgeone' with four vowels and three consonants. Splitting it apart reveals 2 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://communist-coffee-cqktwkfiee-9flehyczce.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
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:228 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content98% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
98%

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

T1CB41657317011006A13F5B3079E6EBDA788CC103D15B9FDC67D8A59EC1DE4EB8A1538A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRQwMw2WcQlwM8+PffbeSKw6bfbE0Pqa5YeRS3AXn6C4NMswuncCfVriLNcuDdBA:To8ll9hPfjV6T31U3VCDucCQLiMd7Fg9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1996:AAAAIAAQAiAAQAAAABAAAAAAAAQAAgAAAJAAAABAAAgUAAGCAAIJABAAAIAAEhQAQBQABBRABQAAAEAAIARgAAAAAAAgSABA

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:0000001818180000
Perceptual Hash:9966669999663399
Difference Hash:001008b2b2300810
Wavelet Hash:3030343cfce4f0f0
Color Hash:#da6ce0

Other Hashes

Scan History

Scan history not available

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