Security Scan Report: www.everytown.org

Submitted: Oct 28, 2025, 12:53:50 PMCompleted: Oct 28, 2025, 12:55:04 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 1 country across 2 domains to perform 12 HTTP transactions. The main domain is everytown.org and was registered NaN years ago.

Submitted URL: https://www.everytown.org/press/killing-of-sonya-massey-marks-one-of-the-many-recent-incidents-of-people-shot-and-killed-by-police/

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
Legitimate brand (Everytown for Gun Safety) recognized globally
Page only displays Cloudflare verification, no data collection
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Killing of Sonya Massey Marks One of the Many Recent Incidents of People Shot and Killed by Police | Everytown

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.everytown.org' is registered; it also runs on subdomain 'www'. The second-level label 'everytown' is 9 characters long containing 3 vowels alongside six consonants. Splitting it apart reveals two words: every, town. The median word length lands at 4.5 characters. 'every' most strongly signals Chinese (Pinyin). Usage also turns up in English and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://www.everytown.org/press/killing-of-sonya-massey-marks-one-of-the-many-recent-incidents-of-people-shot-and-killed-by-police/

Page Load Overview

24.78s
Total Load Time
12
HTTP Requests
2
Domains
0 KB
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:10,497 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
83%
government public service
65%
corporate
35%
news media journalism
28%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.20.11.94United States
AS13335CLOUDFLARENET
1104.18.94.41United States
AS13335CLOUDFLARENET
1104.20.10.94United States
AS13335CLOUDFLARENET
1104.18.95.41United States
AS13335CLOUDFLARENET
12606:4700:10::6814:a5eUnited States
AS13335CLOUDFLARENET
12606:4700::6812:5e29United States
AS13335CLOUDFLARENET
12606:4700:10::6814:b5eUnited States
AS13335CLOUDFLARENET
12606:4700::6812:5f29United States
AS13335CLOUDFLARENET
128--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132825C378506101B757B8FA76179FB648220E344A702A2AFF4E3AF54C7C9D1B56523EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Va+n9yIPl2boVmJkEqwZBXBEFwH2SenAxgaiIM36pi2wjQycXM:U+ncq4brJkxI2wWSeAxX3Vi2YM8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19045:KzrUGbDgbyQkGgKdQCC5GnQWiQAEBGoR1KCXMISBAiFhBDBuEYsAEJEA+IgZDRFHAgmeAIjGFhB0qSFQ4Z9ISAQEGoEAUhHp

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data