Security Scan Report: www.wnypapers.com

Submitted: Nov 21, 2025, 2:40:52 AMCompleted: Nov 21, 2025, 2:44:29 AMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 2 domains to perform 11 HTTP transactions. The main domain is wnypapers.com and was registered NaN years ago.

Submitted URL: https://www.wnypapers.com/news/article/current/2025/11/18/164600/buffalo-fans-will-love-holiday-touchdown-a-bills-love-story

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

You're looking at domain 'www.wnypapers.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 9 characters in 'wnypapers' containing 2 vowels alongside seven consonants. Word splitting yields three words: w, ny, papers. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wnypapers.com/news/article/current/2025/11/18/164600/buffalo-fans-will-love-holiday-touchdown-a-bills-love-story

Page Load Overview

0.74s
Total Load Time
11
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:344 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
38%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.18.95.41United States
AS13335CLOUDFLARENET
5104.21.65.55United States
AS13335CLOUDFLARENET
1172.67.188.241United States
AS13335CLOUDFLARENET
1104.18.94.41United States
AS13335CLOUDFLARENET
12606:4700:3037::6815:4137United States
AS13335CLOUDFLARENET
12606:4700:3033::ac43:bcf1United States
AS13335CLOUDFLARENET
12606:4700::6812:5f29United States
AS13335CLOUDFLARENET
12606:4700::6812:5e29United States
AS13335CLOUDFLARENET
118--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7A25C339552101B723F4ED771A8BB148021A394E702A3EAF1B7DE54CBC591F5AA73E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:U+1cq4brJkxizMuH9je6NFiLRTZEvOhfVXG4QM99:virJkh49je4FQQoFGw9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21980:EJLUUGBgQyIGBR4KAgasiS6QiYIACkgwSICcZrySEGFmELiLAKE0GGAAAbAAaYBrywIWBAHwESAsraHAIIJMHAoMFiAM2NNc

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:cfc3c7c3ffffffe7
Perceptual Hash:b03882cfc6ccc6cf
Difference Hash:101c141c0000000c
Wavelet Hash:ffc3cfc330303800
Color Hash:#4c931f

Other Hashes

Crop Resistant:101c141c0000000c

Scan History

Scan history not available

Unable to load historical scan data