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Security Scan Report: couponsvibesitus-dpj3k52h9qwd.edgeone.app

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Submitted: Jun 17, 2026, 10:02:40 AMCompleted: Jun 17, 2026, 10:03:48 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is couponsvibesitus-dpj3k52h9qwd.edgeone.app and was registered NaN years ago.

Submitted URL: https://couponsvibesitus-dpj3k52h9qwd.edgeone.app/amtrak-penn-station-baltimore-md.html

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears to be a benign informational article with no phishing, malware, or credential‑harvesting activity.

Risk Factors
Subdomain on edgeone.app with unknown creation date
Low Cisco Umbrella ranking (455,732) for the domain
Domain is unranked in top 100K for brand relevance
Safety Factors
Page is classified as an informational article about Amtrak
No forms or data collection mechanisms present
No malicious external links or scripts detected
Domain age information unavailable

Details

Page Title

Navigating Amtrak Penn Station Baltimore MD: A Practical Guide for Seasoned Travelers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'couponsvibesitus-dpj3k52h9qwd.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'couponsvibesitus-dpj3k52h9qwd'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://couponsvibesitus-dpj3k52h9qwd.edgeone.app/amtrak-penn-station-baltimore-md.html

Page Load Overview

1.70s
Total Load Time
13
HTTP Requests
10
Domains
87 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:4,692 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
documentation technical
34%
government public service
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
237.202.1.213Germany
AS15817Mittwald CM Service GmbH & Co. KG
2172.240.108.76United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
135--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
TYPO3
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC723967A980113C2B33045AA49373FCBE79C41AF322CCF57199E324D7866DB56B6398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7/hnYf8zX+ExEUAXdErTMvCnfPoC6Uag49Ucr:7/hnz+ExEUACfAC6Uag4mI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17071:MIYYUINV4gQRQHFUBUBqDgC55jUEKgggABICQWhA6AVJOFMISezFQBDVRACQSNIkKBgCKmMEFGhUk6GEqQQJCogiiAIAkFwK

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:e783ffffc7838383
Perceptual Hash:bcc334e2e3c3c3c2
Difference Hash:0e3620062e362f3e
Wavelet Hash:e782fefe82838183
Color Hash:#3b783a

Other Hashes

Crop Resistant:0e3620062e362f3e

Scan History

Scan history not available

Unable to load historical scan data