Security Scan Report: www.wsws.org

Submitted: Oct 15, 2025, 5:53:30 AMCompleted: Oct 15, 2025, 5:57:18 AMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 10 domains to perform 112 HTTP transactions. The main domain is wsws.org.

Submitted URL: https://www.wsws.org/en/articles/2025/10/15/wqat-o15.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security threats.

Safety Factors
Established domain with long‑standing reputation
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Mass layoffs at the Department of Education target special education - World Socialist Web Site

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news/blog

(40%)

Domain Information

You're looking at domain 'www.wsws.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The second-level label 'wsws' is 4 characters long holding 0 vowels versus four consonants. Splitting it apart reveals 2 words: ws, ws. Median word length is two characters. 'ws' most strongly signals Indonesian. You may catch it in Malay as well.

Screenshot

Security scan screenshot of https://www.wsws.org/en/articles/2025/10/15/wqat-o15.html

Page Load Overview

3.61s
Total Load Time
112
HTTP Requests
10
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:16,238 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%
news
30%

Detected Features

Search
Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87128.199.15.20Santa Clara, California, United States
AS14061DIGITALOCEAN-ASN
1645.79.172.157Cedar Knolls, New Jersey, United States
AS63949Akamai Connected Cloud
93.160.150.36United States
AS16509AMAZON-02
478.46.45.77Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
4144.76.68.116Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
3216.239.34.36United States
AS15169GOOGLE
33.160.150.61United States
AS16509AMAZON-02
3142.250.185.232United States
AS15169GOOGLE
33.160.150.117United States
AS16509AMAZON-02
33.160.150.40United States
AS16509AMAZON-02
11233--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158243C131750493B2A1701C3556A7B8EA1F9821BD1844C98F5ECCBBCCB9CDA1DB73B9A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1/UMjqynQvJU1boMyK7ogciMFQ07/rr29a:13q/U1UK7ogcivc/rua

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228844:iC0BMBEFWyqSwAAAhDIEkRyeCqKLYCcF6BOEBjxuRU6KhKko2oUgRQCoBQGgAXIAATGITshhhhBbImBgLDY0qIEFAApFDCMR

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:ffc33c3c3c380000
Perceptual Hash:8ad3b4c49bb0ce1b
Difference Hash:0417696969619797
Wavelet Hash:ffff3c3c3c3c0000
Color Hash:#3a5b78

Scan History

Scan history not available

Unable to load historical scan data