Security Scan Report: teamster.org

Submitted: Oct 7, 2025, 10:43:30 PMCompleted: Oct 7, 2025, 10:44:35 PMpubliccompleted
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Summary

This website contacted 59 IPs in 2 countries across 16 domains to perform 57 HTTP transactions. The main domain is teamster.org and was registered NaN years ago.

Submitted URL: https://teamster.org/2025/10/sysco-teamsters-in-california-authorize-strike/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article from the official Teamsters website.

Safety Factors
Long‑standing domain registration
Official union branding and consistent URL
Absence of suspicious forms or scripts
Domain age information unavailable

Details

Page Title

Sysco Teamsters in California Authorize Strike - International Brotherhood of Teamsters

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(67%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'teamster.org' is registered while skipping any subdomain. The core label 'teamster' covers 8 characters holding three vowels versus 5 consonants. Breaking it apart gives one word: teamster. 'teamster' most strongly signals Chinese (Pinyin). You will also see it in English and Afrikaans contexts.

Screenshot

Security scan screenshot of https://teamster.org/2025/10/sysco-teamsters-in-california-authorize-strike/

Page Load Overview

15.76s
Total Load Time
57
HTTP Requests
16
Domains
5.5 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:6,374 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism67% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
67%
government public service
36%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57104.17.25.14United States
AS13335CLOUDFLARENET
018.66.102.11United States
AS16509AMAZON-02
099.86.4.72United States
AS16509AMAZON-02
0162.247.243.39United States
AS54113FASTLY
0142.250.181.232United States
AS15169GOOGLE
0162.247.241.14United States
AS23467NEWRELIC-AS-1
0142.250.185.228United States
AS15169GOOGLE
0151.101.194.133San Francisco, California, United States
AS54113FASTLY
0142.250.185.131United States
AS15169GOOGLE
099.86.4.111United States
AS16509AMAZON-02
5759--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AF33CE622B4A3AD5ACB83C9CB71A574F14FD06FE596A1C1B2EE421867C7CD0E343518

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8kGsmPxWemczLBnkM1x/FNfIjcWnqhZdLSvIolZ1XeCReYXFUeo/1OyAeXjcceGU:xeXV4nqhZdLSvIolbXe+e8UecUeXQb53

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167832:TAtQ5AjCUyqbKGFMBDELAgAIQHBYIABMzSDkGA70jYJJEAikMSiBGyOxDQmpWlIAAxZA5ULOqZgcpsgYlCVEPjFCnAhCFgQA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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