Security Scan Report: www.tomshardware.com

Site favicon
Submitted: Oct 12, 2025, 10:37:30 AMCompleted: Oct 12, 2025, 10:41:09 AMpubliccompleted
Loading additional data...

Summary

This website contacted 171 IPs in 5 countries across 35 domains to perform 146 HTTP transactions. The main domain is tomshardware.com.

Submitted URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-generated-security-camera-feed-shows-sam-altman-getting-busted-stealing-gpus-from-target-ironic-video-shows-openai-ceo-saying-he-needs-it-for-sora-inferencing

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Page appears legitimate; only minor redirect oddity noted.

Risk Factors
Circular redirect detected
Safety Factors
Domain hosts legitimate technology news content (Tom's Hardware)
Page contains only standard search and newsletter subscription forms
No malicious Indicators of Compromise identified
Domain age information unavailable

Details

Page Title

AI-generated security camera feed shows Sam Altman getting busted stealing GPUs from Target — ironic video shows OpenAI CEO saying he needs it for Sora inferencing | Tom's Hardware

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(58%)

Domain Information

The domain name 'www.tomshardware.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'tomshardware' stretches across 12 characters holding four vowels versus eight consonants. It segments into 2 words: toms, hardware. Average segment length settles at 6 characters. Most frequently, 'toms' shows up in English. You may catch it in Chinese (Pinyin) and Catalan as well.

Screenshot

Security scan screenshot of https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-generated-security-camera-feed-shows-sam-altman-getting-busted-stealing-gpus-from-target-ironic-video-shows-openai-ceo-saying-he-needs-it-for-sora-inferencing

Page Load Overview

8.04s
Total Load Time
146
HTTP Requests
35
Domains
2.9 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:11,039 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
58%
technology software
52%
documentation technical
38%
news/blog
35%
forum community discussion
33%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37146.75.122.114Frankfurt am Main, Hesse, Germany
AS54113FASTLY
20146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12108.138.7.17United States
AS16509AMAZON-02
11146.75.120.158Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7172.64.150.129United States
AS13335CLOUDFLARENET
799.86.4.122United States
AS16509AMAZON-02
5142.250.185.200United States
AS15169GOOGLE
5104.21.51.228United States
AS13335CLOUDFLARENET
5141.94.155.186France
AS16276OVH SAS
599.86.4.40United States
AS16509AMAZON-02
146171--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D014F6F631101EE31B2BC3EEB0617A4890569259CDD6C8E1E0F6837DD749CF6B62A069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:yAU0vw9jy3JUvFhjE0pClg3AuuxICtjyYafh3YjEVrUK7asLdhh54eLv/dlltaij:pJK5CCTYK7taiUS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:204077:DA4o0a6mA4EsaVCoCgs9OTCJCMBwGGAgTFDqIGM2mURRg0DtYKQSCVGAxFkJgB8BAToiAMCB6hgEUKDdhIeCSZKwCB9ScmJh

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:00003c3c3c3c0000
Perceptual Hash:9a4f304c9a5bce5c
Difference Hash:3397696961619f9d
Wavelet Hash:000d3d3d3d3d03c7
Color Hash:#76862d

Scan History

Scan history not available

Unable to load historical scan data