Security Scan Report: www.ninersnation.com

Submitted: Nov 2, 2025, 5:47:26 PMCompleted: Nov 2, 2025, 5:49:04 PMpubliccompleted
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Summary

This website contacted 63 IPs in 3 countries across 23 domains to perform 101 HTTP transactions. The main domain is ninersnation.com and was registered NaN years ago.

Submitted URL: https://www.ninersnation.com/san-francisco-roster/152248/should-the-49ers-still-look-into-trey-hendrickson-before-trade-deadline

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security threats and is safe to browse.

Safety Factors
Long‑standing domain with consistent hosting
Only standard newsletter/email sign‑up and search forms
Content is typical fan‑site discussion, not impersonating an official brand
Domain age information unavailable

Details

Page Title

NFL Trade Deadline 2025: Should 49ers still look at Trey Hendrickson? | Niners Nation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(87%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.ninersnation.com' is registered and includes subdomain 'www'. Count 12 characters in 'ninersnation' containing five vowels alongside 7 consonants. Breaking it apart gives three words: niner, s, nation. Average segment length settles at 5 characters. 'nine' most often appears in Czech. You may catch it in Slovak and Croatian as well. Net impression: Czech phrase.

Screenshot

Security scan screenshot of https://www.ninersnation.com/san-francisco-roster/152248/should-the-49ers-still-look-into-trey-hendrickson-before-trade-deadline

Page Load Overview

47.76s
Total Load Time
101
HTTP Requests
23
Domains
3.4 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:23,614 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
87%
news media journalism
48%
adult content
44%
forum community discussion
42%
government public service
41%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39104.18.32.146United States
AS13335CLOUDFLARENET
118.173.205.83United States
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
1142.250.186.136United States
AS15169GOOGLE
1172.64.155.119United States
AS13335CLOUDFLARENET
1146.75.121.246Frankfurt am Main, Hesse, Germany
AS54113FASTLY
199.84.152.71United States
AS16509AMAZON-02
1172.64.155.110United States
AS13335CLOUDFLARENET
1104.18.87.42United States
AS13335CLOUDFLARENET
1104.17.24.14United States
AS13335CLOUDFLARENET
10163--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F534D6B91189503B83BB03C235613B95E0B3D09BF95642A83BDE67F893D5EC2D5231B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KIWsabeMe/7lh7TE8OQJTmKeenyCee9BFeeYapeeO0aeem3BQqee+Z2zBY1ECWHc:KIgbe80WiI7GI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:234937:IiEQB1AEImxBAAFCQAgUOOrAIIBgUQgp4R6RhFKABLMBHS8ATCkgMBFUQGKFxBAhYISgAUQAJofEBE6AHASZgAAKhIAQLHDQ

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:0000ffffdffff9ff
Perceptual Hash:b816494d3669d6e9
Difference Hash:f1f1003d3c2e233b
Wavelet Hash:0000ffc7dff78183
Color Hash:#ae87c5

Scan History

Scan history not available

Unable to load historical scan data