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Security Scan Report: www.afge.org

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Submitted: Nov 1, 2025, 2:10:08 PMCompleted: Nov 1, 2025, 2:13:13 PMpubliccompleted
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Summary

This website contacted 97 IPs in 5 countries across 27 domains to perform 136 HTTP transactions. The main domain is afge.org and was registered NaN years ago.

Submitted URL: https://www.afge.org/publication/largest-federal-employee-union-endorses-abigail-spanberger-for-election-as-virginias-next-governor/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate union press release with no security concerns.

Safety Factors
Long‑standing, well‑known union domain (afge.org)
Official press release content with verifiable contact information
Domain age information unavailable

Details

Page Title

AFGE | Largest Federal Employee Union Endorses Abigail Spanberger for Election as Virginia’s Next Governor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(70%)

Domain Information

The domain 'www.afge.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The core label 'afge' covers 4 characters split between two vowels and 2 consonants. It segments into 2 words: af, ge. Median word length comes out to 2 characters. Most frequently, 'af' shows up in Icelandic. Usage also turns up in Danish and Swedish contexts. Net impression: Icelandic phrase.

Screenshot

Security scan screenshot of https://www.afge.org/publication/largest-federal-employee-union-endorses-abigail-spanberger-for-election-as-virginias-next-governor/

Page Load Overview

1.55s
Total Load Time
136
HTTP Requests
27
Domains
1.8 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:10,814 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
70%
education learning
58%
healthcare medical
33%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43172.66.137.140United States
AS13335CLOUDFLARENET
4057.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
32172.66.161.83United States
AS13335CLOUDFLARENET
12143.204.98.72United States
AS16509AMAZON-02
6104.20.17.246United States
AS13335CLOUDFLARENET
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5142.251.140.168United States
AS15169GOOGLE
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
335.71.131.137United States
AS16509AMAZON-02
299.84.152.57United States
AS16509AMAZON-02
13697--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FC355A23DFE603D41A77A92955C7728EB52400BDB4A7804B3FC525ECF8AE46597330E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+1Qgy9hrTbC61qe+zxEU+g4zgl5wiUJ/+ZApIvO2PCPtTU/9l9WXfzow02+s7Tnl:+i7rTbjq88wimIvzll96fzo9s7Td6TKt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127283:zaCsCBDAyF5hm6MAQJDBI1LPFCiQxAAiKCJBoh4EiQAEIS6RCgVAUgg4ACQICIimmALH5wAQJROBVTkmgdGtEjRTAIIhg0Oe

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:00383c3c04cfc3fb
Perceptual Hash:cc4f6d305632bc66
Difference Hash:716361692dbf9f12
Wavelet Hash:00383c3c95cfc3fb
Color Hash:#c5879e

Other Hashes

Crop Resistant:e9c781d9d9fe3e26,cc4e4e4b4949334d,716361692dbf9f12

Scan History

Scan history not available

Unable to load historical scan data