Security Scan Report: www.wkbw.com

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Submitted: Nov 3, 2025, 12:30:47 AMCompleted: Nov 3, 2025, 12:32:34 AMpubliccompleted
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Summary

This website contacted 198 IPs in 6 countries across 86 domains to perform 401 HTTP transactions. The main domain is wkbw.com and was registered NaN years ago.

Submitted URL: https://www.wkbw.com/sports/buffalo-bills/7-players-the-buffalo-bills-should-consider-targeting-ahead-of-the-2025-nfl-trade-deadline

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Well‑established domain (registered 1995)
No malicious Indicators of Compromise detected
Only standard consent/privacy banners present
Domain age information unavailable

Details

Page Title

7 Players the Bills should consider targeting ahead of the NFL Trade Deadline

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(45%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.wkbw.com' is registered, featuring subdomain 'www'. Count 4 characters in 'wkbw' with zero vowels and 4 consonants. Breaking it apart gives three words: w, kb, w. Average segment length settles at 1 character. Most frequently, 'w' shows up in Polish. Usage also turns up in Indonesian and Albanian contexts.

Screenshot

Security scan screenshot of https://www.wkbw.com/sports/buffalo-bills/7-players-the-buffalo-bills-should-consider-targeting-ahead-of-the-2025-nfl-trade-deadline

Page Load Overview

35.20s
Total Load Time
401
HTTP Requests
86
Domains
8.2 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
Text Length:56,137 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism45% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
45%
social media network
41%
e-commerce shopping
39%
adult content
37%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
737.252.171.53Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
265.8.131.122United States
AS16509AMAZON-02
213.33.186.215New York, New York, United States
AS16509AMAZON-02
218.245.31.65United States
AS16509AMAZON-02
2157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
254.192.35.74United States
AS16509AMAZON-02
2142.250.186.138United States
AS15169GOOGLE
2172.64.146.152United States
AS13335CLOUDFLARENET
218.244.18.32United States
AS16509AMAZON-02
218.245.31.92United States
AS16509AMAZON-02
401198--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EEB4F631F840193F6A7B05C8E749D70A71D6A30FF4D90810D6E647684BE9E78F52E2AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:g9EjQjy5aP9vRkiFSKwIO6Arv4J7vSbEjQjWuMMwa:DEveiu6CvixuB1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500192:GoAWi0EQEtOH4ag4ACggsUiAAKTCRCiQxELHBQcBAAJyoQAAIVAgwcAyRQHChEC1XuAE4FYAvDKkARIDJEyGD0ZUFwBBgWKQ

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:000018181818ffff
Perceptual Hash:884bf33ccd325cc9
Difference Hash:452933333333add2
Wavelet Hash:000119199999ffff
Color Hash:#40bfae

Scan History

Scan history not available

Unable to load historical scan data