Security Scan Report: strategyandwargaming.com

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Submitted: Jun 25, 2026, 6:35:33 AMCompleted: Jun 25, 2026, 6:37:08 AMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 8 domains to perform 2 HTTP transactions. The main domain is strategyandwargaming.com and was registered NaN years ago.

Submitted URL: https://strategyandwargaming.com/2026/06/21/strategy-and-wargaming-news-21-june-2026-steam-summer-sale-veterans-napoleonic-wars-removed-from-steam-dust-front-rts-is-a-massive-hit-with-players/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate news article site with no malicious activity detected.

Safety Factors
Well‑established domain age
Self‑branding, not impersonating another brand
Absence of malicious indicators (IoC, YARA, IDS alerts)
No credential or payment collection
Domain age information unavailable

Details

Page Title

Strategy and Wargaming News - 21 June 2026 - Steam Summer Sale, Veterans: Napoleonic Wars Removed From Steam, Dust Front RTS Is a Massive Hit With Players

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'strategyandwargaming.com' uses the commercial generic top-level domain (.com). The core label 'strategyandwargaming' covers 20 characters with 6 vowels and 14 consonants. Breaking it apart gives 4 words: strategy, and, war, gaming. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://strategyandwargaming.com/2026/06/21/strategy-and-wargaming-news-21-june-2026-steam-summer-sale-veterans-napoleonic-wars-removed-from-steam-dust-front-rts-is-a-massive-hit-with-players/

Page Load Overview

6.47s
Total Load Time
142
HTTP Requests
38
Domains
3.6 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:7,932 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
76%
entertainment media
71%
social media network
61%
news media journalism
58%
blog personal website
39%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23192.0.78.154San Francisco, California, United States
AS2635Automattic, Inc
17192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
17192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
17192.0.78.23San Francisco, California, United States
AS2635Automattic, Inc
17142.251.13.97United States
AS15169Google LLC
17142.251.127.155United States
AS15169Google LLC
17192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
17192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1428--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B541932527C4AF82A2B53999C4DF709280A9A37DA4181E5F5E5C12857CCEFB1CB378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:/fnw6ZobFemlUVugamtHIxDuQTZIUgtXhGlg9nOWtLEVm+gp2+aAOu/0gN/+t0HW:nwZOOu/0gN/+ty+Yhna

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:284002:EygwQAACprfYkrCOgjAI4AHIFIAaEPRLECvCJoBnAACaIIRjD8xQAwAgR6UQoJEmQCReRApyWCZQcEAABExpsWVnjQFCAMCR

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:000000001000ffff
Perceptual Hash:8a08fd0ed63373a6
Difference Hash:31b1c9f9f160f100
Wavelet Hash:1818003c3c3cffff
Color Hash:#8a53ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data