Security Scan Report: onlabor.org

Submitted: Oct 15, 2025, 5:57:33 AMCompleted: Oct 15, 2025, 5:59:17 AMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 4 domains to perform 84 HTTP transactions. The main domain is onlabor.org and was registered NaN years ago.

Submitted URL: https://onlabor.org/october-14-2025/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Content is informational news and commentary
Only a standard email newsletter subscription form present
Domain age information unavailable

Details

Page Title

News & Commentary: October 14, 2025 ✦ OnLabor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(40%)

Domain Information

The domain name 'onlabor.org' uses the non-profit oriented generic top-level domain (.org). The core label 'onlabor' covers 7 characters with three vowels and 4 consonants. Tokenizing the label suggests 2 words: on, labor. Average segment length settles at 3.5 characters. 'on' most often appears in Estonian. You will also see it in Finnish and Chinese (Pinyin) contexts. Net impression: Estonian phrase.

Screenshot

Security scan screenshot of https://onlabor.org/october-14-2025/

Page Load Overview

64.16s
Total Load Time
84
HTTP Requests
4
Domains
1.7 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:9,310 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
40%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
8216.239.32.36United States
AS15169GOOGLE
8141.193.213.21United States
AS209242Cloudflare London, LLC
8141.193.213.20United States
AS209242Cloudflare London, LLC
8142.250.184.200United States
AS15169GOOGLE
8216.239.34.36United States
AS15169GOOGLE
82a00:1450:4001:830::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
82001:4860:4802:34::36United States
AS15169GOOGLE
82a04:fa87:fffe::c000:4902Ireland
AS2635AUTOMATTIC
82001:4860:4802:32::36United States
AS15169GOOGLE
8410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B293D63AD2F80037629342C0DAB06B6ABF94C8B3D4965584B2FD4B944FF3EA1D91761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/yepF34e5ohAzFL6mp9C5j4zHA7b3dCYwxiyVvIi5Rih3DDO:/yeL4e5ohAzFL6QI50zHA7btCPi+t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96089:HCwAAyBwAEc8TQAAiAicQGANYhEGkU0APEYSgXQKsiNgCyRAgESB5YThB4TlAAyUUJjMAE8B1Bl4ABKIpAAOOKyIgNAVOElA

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:ffe0e0e0e0e0ffff
Perceptual Hash:e3669cf1a98e8aa2
Difference Hash:0a8c4d0b0b885c4c
Wavelet Hash:e3c0e0a0c0c0ffff
Color Hash:#c1e06c

Scan History

Scan history not available

Unable to load historical scan data