Security Scan Report: jamietravissitus-dpd2bveregni.edgeone.app

Site favicon
Submitted: Jun 19, 2026, 1:06:15 AMCompleted: Jun 19, 2026, 1:07:25 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is jamietravissitus-dpd2bveregni.edgeone.app and was registered NaN years ago.

Submitted URL: https://jamietravissitus-dpd2bveregni.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: 60%

2
Risk Score

The site shows no credential or payment collection, no malware indicators, and only weak signals (unranked, unknown subdomain age); overall low risk.

Risk Factors
Unranked / low‑ranking domain (rank > 100k)
Unknown subdomain age on a hosting platform
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript patterns or network alerts
JS obfuscation score high but attributed to normal minification
Domain age information unavailable

Details

Page Title

michael beach tulsa king

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(63%)

Domain Information

The domain 'jamietravissitus-dpd2bveregni.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jamietravissitus-dpd2bveregni'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jamietravissitus-dpd2bveregni.edgeone.app/

Page Load Overview

1.64s
Total Load Time
32
HTTP Requests
14
Domains
701 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:3,160 chars
Detector Agreement:60%

Website Classification

Primary Category

finance banking63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
63%
adult content
41%
e-commerce shopping
32%
documentation technical
30%
news media journalism
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.21.0.120United States
AS13335Cloudflare, Inc.
5172.240.127.243United States
AS7979Servers.com, Inc.
5150.171.27.10United States
AS8075Microsoft Corporation
5192.178.183.95United States
AS15169Google LLC
5101.33.10.10Frankfurt am Main, Hesse, Germany
5150.171.27.11United States
AS8075Microsoft Corporation
326--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDC2B77656C84F3A968213C37080BEFCB85FAD47EA73C8B1E1A773559782DE75A11022

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7EWhnz+FhEbEEE/ZExEe4W6k/WKKL9C6Uag4mL:7EXEbEEE/ZExEe4W6aWKKRCBag4mL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26048:qABMHnvMAV5IQI2kwkEkDDKAIKD/IEwpImuEYBCAghQQGKAxwARAQEcoFdACghEoAIFMdGAqbFEBkRj2m8eIEIAYCYWFiDhE

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:3100006161696161
Perceptual Hash:e11e9ec1c31ea3e1
Difference Hash:616529d1d1d1d1d1
Wavelet Hash:3d01017979797971
Color Hash:#6c75e0

Scan History

Scan history not available

Unable to load historical scan data