Security Scan Report: www.wiltonbulletin.com

Submitted: Dec 20, 2025, 8:49:55 AMCompleted: Dec 20, 2025, 8:50:32 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 7 domains to perform 31 HTTP transactions. The main domain is wiltonbulletin.com and was registered NaN years ago.

Submitted URL: https://www.wiltonbulletin.com/sports/uconn-womens-basketball/article/paige-bueckers-wnba-all-rookie-team-21073976.php

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established news domain (wiltonbulletin.com)
No credential or payment collection
No suspicious external links or redirects
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

Access to this page has been denied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(35%)

Domain Information

Domain 'www.wiltonbulletin.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'wiltonbulletin' stretches across 14 characters split between five vowels and nine consonants. Word splitting yields 2 words: wilton, bulletin. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wiltonbulletin.com/sports/uconn-womens-basketball/article/paige-bueckers-wnba-all-rookie-team-21073976.php

Page Load Overview

1.45s
Total Load Time
31
HTTP Requests
7
Domains
779 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
Text Length:142 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical35% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
35%
healthcare medical
33%
news media journalism
32%
finance banking
28%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.185.138United States
AS15169GOOGLE
3146.75.120.200Frankfurt am Main, Hesse, Germany
AS54113FASTLY
334.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3142.251.208.3United States
AS15169GOOGLE
334.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3184.86.103.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3184.86.103.217Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
318--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BEF1B7330D1A511BE547811E26737A88B6658002BB1792A93DEEE138DFEDBD08D52F74

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Twi4fIGbnpBjpt5grJxTyFoTepRNZ5We0klmoC9EsIgNdH2tEml87n:Urrn9ter/qVpZ5WroC9EW5Ln

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7590:Bhpq6SEQQg9QEUACSQDmAAkSMZAgsUIggLCDABeYgxIB1IhZ1EQIYqQwARrixCQxUSIAJzMWBQ11FMpBFIQOICAACAASTIBQ

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:ffffbfe74747f3c3
Perceptual Hash:b38fce3170c69919
Difference Hash:006860cc9c9c4402
Wavelet Hash:0c7e3f674646012f
Color Hash:#87bdc5

Other Hashes

Crop Resistant:006860cc9c9c4402

Scan History

Scan history not available

Unable to load historical scan data