Security Scan Report: jamietravissitus-dp04cu11bjl0.edgeone.app

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Submitted: Jun 18, 2026, 3:48:16 AMCompleted: Jun 18, 2026, 3:49:24 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 domains to perform 2 HTTP transactions. The main domain is jamietravissitus-dp04cu11bjl0.edgeone.app and was registered NaN years ago.

Submitted URL: https://jamietravissitus-dp04cu11bjl0.edgeone.app/ameren-electric-phone-number.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

Low‑risk informational article; no malicious indicators detected.

Risk Factors
Low domain ranking (outside top 100 K)
Sub‑domain on hosting platform with unknown age
Safety Factors
No credential or payment collection forms
Article content, not brand impersonation
No malicious JavaScript or network activity detected
Domain age information unavailable

Details

Page Title

Finding the Right Ameren Electric Phone Number for Your Situation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(46%)

Domain Information

Domain 'jamietravissitus-dp04cu11bjl0.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jamietravissitus-dp04cu11bjl0'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Word splitting yields 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://jamietravissitus-dp04cu11bjl0.edgeone.app/ameren-electric-phone-number.html

Page Load Overview

1.78s
Total Load Time
18
HTTP Requests
14
Domains
248 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:3,928 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
46%
corporate
35%
government public service
27%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.178.183.132United States
AS15169Google LLC
218.173.206.111United States
AS16509Amazon.com, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
265.8.131.129United States
AS16509Amazon.com, Inc.
243.152.26.58Singapore
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2193.196.21.93Dusslingen, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
189--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164821C2BE9801128BB63024A7195B2FCB928C01BD7599DE0F4ADF33C8F497D7667158D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:e3hnYf8zX+TN7fJZE88eF3rIp6j/xfZgMTUamvoC6Uag49Uwds:Shnz+TDZE1cfZj/C6Uag4mv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17970:6iSc0kSBhkqBoCCkBgVIN6C4CFYk5AFAAQKNjThDgCUSIQHOqSQiBoQqHYA+x0ZJMAdowpBficRJEK3JAq2VKkERSA8IkGwA

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:38000000207c7c70
Perceptual Hash:c238c79bc09fc867
Difference Hash:e1c125d1c5c1c1c5
Wavelet Hash:7d01017d217d7d71
Color Hash:#78743a

Scan History

Scan history not available

Unable to load historical scan data