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Security Scan Report: emilyslist.org

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Submitted: Nov 1, 2025, 2:12:10 PMCompleted: Nov 1, 2025, 2:13:02 PMpubliccompleted
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Summary

This website contacted 42 IPs in 2 countries across 10 domains to perform 38 HTTP transactions. The main domain is emilyslist.org and was registered NaN years ago.

Submitted URL: https://emilyslist.org/candidate/abigail-spanberger/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site appears legitimate; donation form is standard and poses no evident security threat.

Safety Factors
Long‑standing domain registration
Official brand domain (emilyslist.org)
Standard donation form without credential harvesting
Domain age information unavailable

Details

Page Title

Abigail Spanberger - EMILYs List

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'emilyslist.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. The registrable portion 'emilyslist' spans 10 characters holding 3 vowels versus 7 consonants. Breaking it apart gives 3 words: emily, s, list. Average segment length settles at four characters. The linguistic tilt is Czech for 'emily'. You will also see it in Slovak and Croatian contexts.

Screenshot

Security scan screenshot of https://emilyslist.org/candidate/abigail-spanberger/

Page Load Overview

7.76s
Total Load Time
38
HTTP Requests
10
Domains
1.0 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:4,343 chars
Detector Agreement:67%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
33%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38151.101.130.217San Francisco, California, United States
AS54113FASTLY
03.160.150.7United States
AS16509AMAZON-02
0142.250.186.35United States
AS15169GOOGLE
0100.28.33.159Ashburn, Virginia, United States
AS14618AMAZON-AES
0104.26.7.112United States
AS13335CLOUDFLARENET
0104.26.6.112United States
AS13335CLOUDFLARENET
03.160.150.118United States
AS16509AMAZON-02
052.23.116.65Ashburn, Virginia, United States
AS14618AMAZON-AES
0172.67.68.101United States
AS13335CLOUDFLARENET
0216.239.34.36United States
AS15169GOOGLE
3842--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B22328779204063A578F47EDF190B30DB2ADC016EA82D5A1B2FC529C67D6CF2583B62D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qo9yWrdZdapKFa5G86gIHOpXH3Dkl6ZbJ0kOmZ/PfZ/qqQN2LV44+7xoWTDZd:qo9XapWQH3ol6tfZ/NQMLV4RDZd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49621:HpA4BADlMoBagVEAAAyWECDABD8WILUIAm1AlPJQCIAGk3BeCJBBlMECoE4A5gAAqiAHVKaJBjUQIMgAylUQdAqjQAAZLQQE

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:fffff181f1f1fb8f
Perceptual Hash:e9d0964b3d354ac5
Difference Hash:c01303137353361e
Wavelet Hash:7ff9f181b1f10302
Color Hash:#4084bf

Other Hashes

Crop Resistant:c01303137353361e,0503062d1a541031,44329a9a3a736f32,4347cd8797236373

Scan History

Scan history not available

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