Security Scan Report: www.popularmechanics.com

Submitted: Oct 26, 2025, 8:10:04 PMCompleted: Oct 26, 2025, 8:14:03 PMpubliccompleted
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Summary

This website contacted 247 IPs in 6 countries across 106 domains to perform 577 HTTP transactions. The main domain is popularmechanics.com and was registered NaN years ago.

Submitted URL: https://www.popularmechanics.com/science/a68205442/singularity-three-months/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established, long‑standing domain
No suspicious forms or data collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Humanity May Achieve the Singularity Within the Next 3 Months

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(50%)

Domain Information

The domain 'www.popularmechanics.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'popularmechanics' covers 16 characters split between 6 vowels and 10 consonants. It segments into 2 words: popular, mechanics. Expect 8 characters per word on average. 'popular' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Vietnamese. Net impression: English phrase.

Screenshot

Security scan screenshot of https://www.popularmechanics.com/science/a68205442/singularity-three-months/

Page Load Overview

2.09s
Total Load Time
577
HTTP Requests
106
Domains
10.1 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-US
Text Length:9,439 chars
Detector Agreement:100%

Website Classification

Primary Category

other50% confidence
Type: static
Method: ml+structural

All Detected Categories

other
50%
malicious
27%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
172146.75.120.155Frankfurt am Main, Hesse, Germany
AS54113FASTLY
85216.58.206.40United States
AS15169GOOGLE
4213.226.244.79United States
AS16509AMAZON-02
38216.58.206.33United States
AS15169GOOGLE
37142.250.181.226United States
AS15169GOOGLE
28216.58.206.72United States
AS15169GOOGLE
22142.251.140.162United States
AS15169GOOGLE
15157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
10216.239.34.36United States
AS15169GOOGLE
1013.33.187.109New York, New York, United States
AS16509AMAZON-02
577247--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFE30976F3501137572BBADDBA24AB18B217F71ADA814594C6FC0EF41BE2CA1B41B60C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sabAV2+2hcgHz+95vOQ7QapmviNtjTAqIvGMGUVkzsWwGK:saxkvTdueMGUwYGK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:144589:kcoCBAPgYACuWTVdWALNQIgg5DGjBBISXluAhAlACL6VAEECl5wAQuACUeERAU6h1hAFFAQEICCFDQgGxeFADDBqkBAAmgVU

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:800018e7c7cfffc3
Perceptual Hash:b14e4c9b65cc398b
Difference Hash:224d330d0c9e0896
Wavelet Hash:800001e7c7efffc3
Color Hash:#e06ce0

Scan History

Scan history not available

Unable to load historical scan data