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Security Scan Report: www.stlouisspeakers.org

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Submitted: May 2, 2026, 4:29:11 AMCompleted: May 2, 2026, 4:30:40 AMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 11 domains to perform 45 HTTP transactions. The main domain is stlouisspeakers.org and was registered NaN years ago.

Submitted URL: https://www.stlouisspeakers.org/speakers/pete-buttigieg/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears legitimate, providing informational content about a speaker; no phishing, credential harvesting, or malware activity detected.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1 M)
Safety Factors
Well‑established domain age
Article (og:type=article) content, not impersonation
No malicious indicators or suspicious scripts
Domain age information unavailable

Details

Page Title

Pete Buttigieg - St. Louis Speakers Series

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

Domain 'www.stlouisspeakers.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'stlouisspeakers' spans 15 characters split between 6 vowels and 9 consonants. Word splitting yields three words: st, louis, speakers. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.stlouisspeakers.org/speakers/pete-buttigieg/

Page Load Overview

3.91s
Total Load Time
49
HTTP Requests
11
Domains
1.9 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:3,107 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
60%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.110.94United States
AS15169Google LLC
4172.66.147.250United States
AS13335Cloudflare, Inc.
4104.17.24.14United States
AS13335Cloudflare, Inc.
4104.18.40.153United States
AS13335Cloudflare, Inc.
4184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4104.16.174.226United States
AS13335Cloudflare, Inc.
4142.251.155.119United States
AS15169Google LLC
4142.251.14.97United States
AS15169Google LLC
4172.67.217.177United States
AS13335Cloudflare, Inc.
4910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15423B7729085103B272BE7ECD194F719A2C2D109CE166B9172F9219DABCDFBA15B331C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UKlLYtuvvjJeE8tObA4Pn8PrCUh7IADJtLQh7yJXLKuo/y2yIUa2/kprVZdSZUak:U0Ph0BaVZdypscUaN74cK9HR5fPfuUP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46922:gAlSCMxYITQMBaBCgDhCKNih9GmENQVJQg1CACrpAkgeQtwCMMdTs0RPPAPQRw42BOUJQADAjAABghKSt0ZpnAIAzQbRhFiw

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:ff000000f3f3f1f3
Perceptual Hash:ed12cbedcc12134b
Difference Hash:4107cc2737172333
Wavelet Hash:ff000000f3f3f3f3
Color Hash:#d2ca2d

Other Hashes

Crop Resistant:4107cc2737172333,cccc372713132333

Scan History

Scan history not available

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