Security Scan Report: drunk-coffee-5msb76jsms-jrntwe3z39.edgeone.app

Submitted: Nov 26, 2025, 2:25:45 AMCompleted: Nov 26, 2025, 2:27:32 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 4 domains to perform 11 HTTP transactions. The main domain is drunk-coffee-5msb76jsms-jrntwe3z39.edgeone.app.

Submitted URL: https://drunk-coffee-5msb76jsms-jrntwe3z39.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: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms present
Domain ranking is low but not indicative of phishing without other signs
Domain age information unavailable

Details

Page Title

ECE Workshop 2025 – Department of Electronics & Communication Engineering

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'drunk-coffee-5msb76jsms-jrntwe3z39.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'drunk-coffee-5msb76jsms-jrntwe3z39'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Breaking it apart gives 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://drunk-coffee-5msb76jsms-jrntwe3z39.edgeone.app/

Page Load Overview

0.48s
Total Load Time
11
HTTP Requests
4
Domains
129 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:4,892 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5144.76.79.22Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
243.152.26.58Singapore
1172.67.68.11United States
AS13335CLOUDFLARENET
1104.18.1.22United States
AS13335CLOUDFLARENET
0104.26.3.143United States
AS13335CLOUDFLARENET
0104.18.0.22United States
AS13335CLOUDFLARENET
02606:4700:20::ac43:440bUnited States
AS13335CLOUDFLARENET
02a01:4f8:212:a19::2Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
02606:4700:20::681a:28fUnited States
AS13335CLOUDFLARENET
02606:4700:20::681a:38fUnited States
AS13335CLOUDFLARENET
1113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5B3982852B4003F7C4382E4E754BA6EAA1AE2D3DE2F025CB95D42512FD3DEACD97744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:kIPhniTG6y5+WbQyE4u1NtCnyYkTGbcBjN76:bhDRnfCg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110768:SHgqAEoBCJNyELkZSEdCJxgiIgVAmUgsGAJgmAgUjCkIDCISEUQGAQK1CIFFiSgkDAK5hLJAxnBYFAC1IjAmpCMWMpgIhB44

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:8101f9ff017d00ff
Perceptual Hash:aa7d2f32b4d0ca2a
Difference Hash:171fe1b03de9f995
Wavelet Hash:0101f9ff017d01ff
Color Hash:#2d3e86

Scan History

Scan history not available

Unable to load historical scan data