Security Scan Report: metrograph.com

Submitted: Nov 2, 2025, 2:23:57 AMCompleted: Nov 2, 2025, 2:27:14 AMpubliccompleted
Loading additional data...

Summary

This website contacted 27 IPs in 2 countries across 15 domains to perform 189 HTTP transactions. The main domain is metrograph.com and was registered NaN years ago.

Submitted URL: https://metrograph.com/mikemyers/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Only standard newsletter email collection form
Domain age information unavailable

Details

Page Title

Mike Myers - Journal - Metrograph

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

entertainment media

(87%)

Domain Information

The domain 'metrograph.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'metrograph' is 10 characters long with three vowels and seven consonants. Word splitting yields two words: metro, graph. Median word length comes out to 5 characters. Most frequently, 'metro' shows up in English. You will also see it in Chinese (Pinyin) and Dutch contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://metrograph.com/mikemyers/

Page Load Overview

5.11s
Total Load Time
189
HTTP Requests
15
Domains
19.4 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:24,098 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media87% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
87%
news/blog
45%
social media network
42%
education learning
40%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
136199.16.172.15San Francisco, California, United States
AS2635AUTOMATTIC
29146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7216.239.34.36United States
AS15169GOOGLE
7199.16.173.16San Francisco, California, United States
AS2635AUTOMATTIC
7142.250.184.200United States
AS15169GOOGLE
7192.0.77.39San Francisco, California, United States
AS2635AUTOMATTIC
752.20.230.181Ashburn, Virginia, United States
AS14618AMAZON-AES
7142.250.184.196United States
AS15169GOOGLE
72a00:1450:4001:829::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
7172.64.147.119United States
AS13335CLOUDFLARENET
18927--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1045D638739012A0B272384E51E7A08A116CD3BEE01E5E5F8EC911CB7DADF92177B5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zYTpekCax44ewjIIk1wkskYXkcFokqwxYimFTxi8dBmvZPv4Sbv5JE3BnLNhJqDH:sTpekCaWtqnRluDwxYFxV5972oRVWbAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177334:IOEKFABLgpAQJw4QAgZkZEAIROFAGpA0AQYHdAkmADQUhuWBuXAAEYIAQUISvRRBKHILCAbCUEGCECh4kwEBgEcEhAQs8KiE

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:7084989898180000
Perceptual Hash:9c3663c19ccdcc36
Difference Hash:c10d323232320b3a
Wavelet Hash:e7879b9999998183
Color Hash:#d2bf2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data