Security Scan Report: www.metrobyt-mobile.com

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Submitted: May 8, 2026, 8:05:31 PMCompleted: May 8, 2026, 8:07:08 PMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 20 domains to perform 99 HTTP transactions. The main domain is metrobyt-mobile.com and was registered NaN years ago.

Submitted URL: https://www.metrobyt-mobile.com

The Cisco Umbrella rank of the primary domain is #133,038 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site appears legitimate with low risk; no phishing, credential harvesting, or malware observed.

Risk Factors
Cisco Umbrella ranking #133,038 (outside top 10 k for a major brand)
JavaScript obfuscation score marked CRITICAL (high entropy, base64, unescape)
Safety Factors
Long‑standing domain (>8 years)
Brand name aligns with domain, no impersonation
No IDS/Suricata alerts
No credential exfiltration or payment collection
Forms present lack password/email fields
Domain age information unavailable

Details

Page Title

Metro by T-Mobile®: Prepaid Phone Plans, Devices & More

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(59%)

Domain Information

You're looking at domain 'www.metrobyt-mobile.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'metrobyt-mobile' is 15 characters long holding 5 vowels versus nine consonants; bonus characters include one hyphen. Tokenizing the label suggests 4 words: metro, by, t, mobile. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.metrobyt-mobile.com

Page Load Overview

4.48s
Total Load Time
202
HTTP Requests
43
Domains
7.2 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
Text Length:26,655 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
59%
finance banking
42%
technology software
35%
government public service
34%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.18.87.42United States
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1063.140.62.120United States
AS16509Amazon.com, Inc.
10150.171.28.10United States
AS8075Microsoft Corporation
10192.178.183.97United States
AS15169Google LLC
1018.172.112.16United States
AS16509Amazon.com, Inc.
10157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
102.16.10.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10104.126.37.131Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1044.196.8.218Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
20220--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DB4E651B1F420B281030BFA7AB9AE466B35E207DB4B2DC575EC43B46FC7D61B80B658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:PdEyfHjXM05HtcHLXtBAZMxxXWX51kz/qLTPhRK0l2UE9a:PdEyfHjXM05HtcHLXtBAZMxVWX51kz/6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:510622:dBw4DBDzAA5poLQIrFJiCFJVggICDQhABAmAsIyARlvGHB0QAkcJAIUQmrcHUKvwYgkBcFzlkKwQfRgD5gUI0sFrEZhkxBAk

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:ff818181f1a1818f
Perceptual Hash:ebcc95c095fc91c1
Difference Hash:7169516949497959
Wavelet Hash:ff8181d1f1e1818f
Color Hash:#e0c76c

Scan History

Scan history not available

Unable to load historical scan data