Security Scan Report: obnoxious-coffee-zr9xaibfjp-vqvr50akpo.edgeone.app

Submitted: Mar 28, 2026, 7:57:24 PMCompleted: Mar 28, 2026, 7:58:31 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 11 HTTP transactions. The main domain is obnoxious-coffee-zr9xaibfjp-vqvr50akpo.edgeone.app and was registered NaN years ago.

Submitted URL: https://obnoxious-coffee-zr9xaibfjp-vqvr50akpo.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious activity detected; site appears low risk despite being a new subdomain on a hosting platform.

Safety Factors
HTTPS connection
No credential or payment collection fields
No known malicious Indicators of Compromise
No network IDS alerts
Standard third‑party resources only
Domain age information unavailable

Details

Page Title

Onboarding – CashFlow AI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'obnoxious-coffee-zr9xaibfjp-vqvr50akpo.edgeone.app' is registered, featuring subdomain 'obnoxious-coffee-zr9xaibfjp-vqvr50akpo'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Splitting it apart reveals 2 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://obnoxious-coffee-zr9xaibfjp-vqvr50akpo.edgeone.app/

Page Load Overview

0.79s
Total Load Time
11
HTTP Requests
4
Domains
195 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:1,173 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
phishing scam
62%
gambling betting
61%
cryptocurrency blockchain
59%
documentation technical
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
2104.26.3.143Singapore
2142.251.141.99Singapore
2142.251.208.170SingaporeUnknown
114--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197F2C62922F2007B889388E1FAD2EB6AB52191D7CE2BD59D73DD15416FC7C56CC83788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WYuARq0biIhnNaE+WbQ5hooOWZ4Vn3+iTlIuui4CJGoiMM:HphEWJS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36903:2wdQEYEAGAAm5mYQCjBSCWWCGcBQTQSkmSDiCiYACBKEYgeKbEBBIAKRCdBQQyAOgIB8OLQHY6IPoCIiNHCIRAiVIBUg5HLC

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:011b1f1e1cbcb870
Perceptual Hash:8c2c23bb3173d971
Difference Hash:7fe7f2f0b03060e0
Wavelet Hash:031f1f1e1ebcb870
Color Hash:#59862d

Other Hashes

Crop Resistant:7fe7f2f0b03060e0

Scan History

Scan history not available

Unable to load historical scan data