Security Scan Report: schellengersitus-dp1b9otkekam.edgeone.app

Site favicon
Submitted: Jun 18, 2026, 9:37:27 AMCompleted: Jun 18, 2026, 9:38:38 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is schellengersitus-dp1b9otkekam.edgeone.app and was registered NaN years ago.

Submitted URL: https://schellengersitus-dp1b9otkekam.edgeone.app/austin-business-networking-events-tomorrow.html

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site appears to be an informational article without malicious forms; low concrete risk but flagged by ML as phishing, so treat cautiously.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (likely benign but adds uncertainty)
ML classifier indicating phishing despite no forms
Safety Factors
Absence of any credential or payment collection forms
No external malicious links or IoC matches
No JavaScript credential exfiltration or suspicious network activity
No IDS alerts or known malicious kits detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Austin Business Networking Events Tomorrow: Connecting Professionals

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(94%)

Domain Information

The domain name 'schellengersitus-dp1b9otkekam.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'schellengersitus-dp1b9otkekam'. The core label 'edgeone' covers 7 characters holding 4 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://schellengersitus-dp1b9otkekam.edgeone.app/austin-business-networking-events-tomorrow.html

Page Load Overview

1.99s
Total Load Time
13
HTTP Requests
10
Domains
103 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-US
Text Length:3,561 chars
Detector Agreement:60%

Website Classification

Primary Category

phishing scam94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
94%
blog personal website
93%
social media network
92%
government public service
89%
corporate business
88%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.243United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
218.66.147.32United States
AS16509Amazon.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
135--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12372D927E581363C733002155592BBFCBAB8851BB3469CF4B8E8772887CA7C75435B99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jI6xePxl43VomvPYf85ZEQV+mAoQ8Ras5W5z4E4Ob9JrrjLoC6Uag4oSC7jfD/Tj:mchnYf8zX+mdQ8/YLB5joC6Uag49Ufj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16102:INMDQKAIgVggMOAmgzgVBIgKAgIqEZOIibGMx0ZCxuQyCwMjAjRSyeiBIC4JjkYQAEkUiQ4hcEEgBIAJAQJFACCETQZRIqgI

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:c7ffffc3cf838383
Perceptual Hash:bcc3383c313cb1d3
Difference Hash:1e260026333f373f
Wavelet Hash:83deff83c3838381
Color Hash:#8bac53

Other Hashes

Crop Resistant:1e260026333f373f

Scan History

Scan history not available

Unable to load historical scan data