Security Scan Report: technologymagazine.com

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Submitted: Oct 11, 2025, 6:07:35 AMCompleted: Oct 11, 2025, 6:08:31 AMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 5 domains to perform 73 HTTP transactions. The main domain is technologymagazine.com and was registered NaN years ago.

Submitted URL: https://technologymagazine.com/executive/sam-altman

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No collection of sensitive data (passwords, payment info)
No deceptive branding or impersonation
Domain age information unavailable

Details

Page Title

Sam Altman | Technology Magazine

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(49%)

Domain Information

You're looking at domain 'technologymagazine.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'technologymagazine' stretches across 18 characters holding 7 vowels versus eleven consonants. Breaking it apart gives 2 words: technology, magazine. Average segment length settles at 9 characters. 'technology' most strongly signals English. You will also see it in Chinese (Pinyin) and German contexts.

Screenshot

Security scan screenshot of https://technologymagazine.com/executive/sam-altman

Page Load Overview

6.37s
Total Load Time
73
HTTP Requests
5
Domains
1.4 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:15,314 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
49%
social media network
49%
corporate
35%
documentation technical
29%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13172.66.43.54United States
AS13335CLOUDFLARENET
323.67.139.70Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3104.18.36.90United States
AS13335CLOUDFLARENET
3172.67.68.57United States
AS13335CLOUDFLARENET
3104.26.15.192United States
AS13335CLOUDFLARENET
3172.66.40.202United States
AS13335CLOUDFLARENET
3104.26.14.192United States
AS13335CLOUDFLARENET
3104.18.32.137United States
AS13335CLOUDFLARENET
3172.64.151.166United States
AS13335CLOUDFLARENET
32606:4700:20::ac43:4439United States
AS13335CLOUDFLARENET
7321--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11564F7A77964272EE3C34789A6623A55B022890FFE739DDCF14C977843CD7E09D0264A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+HYhp65iaZk+ju38QSr6vZz9JAPj+yDwDmDODdDbDoXnvDZ6ZdZTEoTdBxCXJQvC:R+AEXnWrcXaCsX1sXhsXJsXUKVi2h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:328584:wLA0gRxQKBQSYjsMBMkoARBhBUBi0QURNNikgjn0aJw+gE3AiDDmOGDIFSUIjIABRFACVChWwEFlaBo5ghIwBJRyOImiQRIm

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:ff000000e09fffff
Perceptual Hash:fc61829cc39cbcc3
Difference Hash:9c9d8181413035cd
Wavelet Hash:ff000000c09fffff
Color Hash:#9e6ce0

Scan History

Scan history not available

Unable to load historical scan data