Security Scan Report: helpless-coffee-attmxwlu48-iddcbg4zg5.edgeone.app

Submitted: Feb 14, 2026, 4:39:04 AMCompleted: Feb 14, 2026, 4:40:37 AMpubliccompleted
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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 helpless-coffee-attmxwlu48-iddcbg4zg5.edgeone.app and was registered NaN years ago.

Submitted URL: https://helpless-coffee-attmxwlu48-iddcbg4zg5.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 security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No external domains or redirects
Domain age information unavailable

Details

Page Title

helpless-coffee-attmxwlu48-iddcbg4zg5.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

You're looking at domain 'helpless-coffee-attmxwlu48-iddcbg4zg5.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'helpless-coffee-attmxwlu48-iddcbg4zg5'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://helpless-coffee-attmxwlu48-iddcbg4zg5.edgeone.app/

Page Load Overview

8.08s
Total Load Time
1
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:843 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
45%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8OldO:WhoC9JSqzzbs6o3Sj3gcrsK2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:8ySFz9RQAmVEBBHCUDJi5iBXGQIqSISAGIhKgKqCyAYjB5BwkQhBAgYBLdkCA2g4ggC4QUokCCcrK9+hwwLAiAoKhLpESMxR

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:00181c1c00000000
Wavelet Hash:f0d0c0c4f0f0f0f0
Color Hash:#87a6c5

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data