Security Scan Report: above-coffee-dfbevqzmj7-89kzczob5m.edgeone.app

Submitted: Mar 8, 2026, 8:46:26 AMCompleted: Mar 8, 2026, 8:48:07 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 29 HTTP transactions. The main domain is above-coffee-dfbevqzmj7-89kzczob5m.edgeone.app and was registered NaN years ago.

Submitted URL: https://above-coffee-dfbevqzmj7-89kzczob5m.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%

1
Risk Score

No malicious content detected; low risk due to unknown subdomain age and lack of any suspicious elements.

Safety Factors
Page unreachable – no active threat observed
Hosted on known platform (edgeone.app) with standard configuration
Absence of forms, scripts, or external links
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Rahul Gokul Mali | UI/UX Designer & Developer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

The domain name 'above-coffee-dfbevqzmj7-89kzczob5m.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'above-coffee-dfbevqzmj7-89kzczob5m'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests two 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://above-coffee-dfbevqzmj7-89kzczob5m.edgeone.app/

Page Load Overview

13.16s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:834 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
44%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.141.74Singapore
0104.26.3.143Singapore
043.152.26.58Singapore
0104.17.24.14Singapore
0142.250.201.163Singapore
0146.75.122.208Singapore
26--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E83A52C61F0017B6C93C1F2E6956F6EBD29E687DE2BD659B69C46811FC3DA28D03304

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Nw+hd/S3I4uR8VdhdWrH6hl4d7vsk+w/oBIL:DhFauuhcSNw/oG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80904:MKaDRBAQBFAyAUgndhUR1KEFL1ROUCUggJUxACdwMXAAOTYAJDELyQ4lYmAIYAB0nAqMLZQspWEBAIwAKBDgZAcQSMwKIqxC

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:80802c2e2f250100
Perceptual Hash:92f76da993968261
Difference Hash:3d334dedc9ede3e1
Wavelet Hash:81813f3f6f3f3101
Color Hash:#6ce0dc

Scan History

Scan history not available

Unable to load historical scan data