Security Scan Report: mentarisparknetwork-dpcv3g8a4oj1.edgeone.app

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Submitted: Jun 15, 2026, 9:41:01 AMCompleted: Jun 15, 2026, 9:42:10 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is mentarisparknetwork-dpcv3g8a4oj1.edgeone.app and was registered NaN years ago.

Submitted URL: https://mentarisparknetwork-dpcv3g8a4oj1.edgeone.app/contact-customer-service-usps.html

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

Low‑risk informational article with no malicious signals detected.

Risk Factors
Low domain ranking (rank #455,732)
Subdomain creation date unknown (potentially new)
Safety Factors
Informational article about USPS (no claim to be the brand)
Absence of credential or payment collection forms
No malicious indicators (IoC, YARA, IDS) found
Domain age information unavailable

Details

Page Title

How to Contact Customer Service at USPS: A Guide to Efficient Support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(90%)

Domain Information

The domain name 'mentarisparknetwork-dpcv3g8a4oj1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'mentarisparknetwork-dpcv3g8a4oj1'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Segmentation suggests two 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://mentarisparknetwork-dpcv3g8a4oj1.edgeone.app/contact-customer-service-usps.html

Page Load Overview

2.03s
Total Load Time
17
HTTP Requests
13
Domains
1.1 MB
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:4,071 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
90%
technology software
48%
corporate
35%
documentation technical
31%
education learning
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.154.253.245Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.21.45.39United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
269.163.229.113Hillsboro, Oregon, United States
AS26347New Dream Network, LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2142.251.110.119United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187720923AED4213827730195B45BB6ECBE29801ADB51DDA0F4EC736C9BC6ACF447A714

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7JhnYf8zX+9rWjGTSj1oM/A1/OmeqgJoNjag4n+iJr:7Jhnz+9rWjGTSRoM/A1dTgaNjag4+i9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16930:ACpaRKAUC0AYQk8KRChkAhyBAZkFY0AOALAtqnAeCwiRAlAwGyJEAYWhAsVi6Mi8AAAARKcx6gtcsqiAOQQgsKSXAC5QCIAo

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:ffdfffffffc78181
Perceptual Hash:bcc33cc132e593cc
Difference Hash:0c2c2006330f2727
Wavelet Hash:e782ffff81818181
Color Hash:#e06cd0

Scan History

Scan history not available

Unable to load historical scan data