Security Scan Report: www.tigernet.com

Submitted: Nov 1, 2025, 3:52:16 PMCompleted: Nov 1, 2025, 3:55:42 PMpubliccompleted
Loading additional data...

Summary

This website contacted 120 IPs in 5 countries across 34 domains to perform 184 HTTP transactions. The main domain is tigernet.com and was registered NaN years ago.

Submitted URL: https://www.tigernet.com/clemson-football/story/clemson-vs.-duke-prediction-tigers-try-to-reverse-stunning-trends-23709

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or data collection
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Clemson vs. Duke Prediction: Tigers try to reverse stunning trends | TigerNet

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

news media journalism

(36%)

Domain Information

The domain 'www.tigernet.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 8 characters in 'tigernet' containing 3 vowels alongside 5 consonants. Breaking it apart gives two words: tiger, net. Median word length comes out to 4 characters. Most frequently, 'tier' shows up in Afrikaans. Secondary signals appear in Dutch and Catalan. Taken together, it feels Afrikaans.

Screenshot

Security scan screenshot of https://www.tigernet.com/clemson-football/story/clemson-vs.-duke-prediction-tigers-try-to-reverse-stunning-trends-23709

Page Load Overview

6.91s
Total Load Time
184
HTTP Requests
34
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:21,460 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism36% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
36%
news/blog
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52109.61.86.193Boston, Massachusetts, United States
AS60068Datacamp Limited
21146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
16143.204.98.51United States
AS16509AMAZON-02
16146.75.122.49Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12104.26.3.35United States
AS13335CLOUDFLARENET
11172.66.148.140United States
AS13335CLOUDFLARENET
7142.250.185.134United States
AS15169GOOGLE
5151.101.120.157Paris, Île-de-France, France
AS54113FASTLY
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
184120--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153442B23AAE0112A703B93ADFD6137AD71728007D3465E6C756EA15CCFC5EE6092339E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:3Vm/ZylTZ3kcOkc3PJgfpCN4ofWdgF9By+t6pxuQ7:3VNlTZ3kcOkc3PJgfpCdWv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274828:fQSFngnBMIgLko1MDdAF7E5mFJgyBAMgCABBYMpBgCRJbBNIHKZogAzJCIquAIgKGCCkhcUISdIIChwTCmkQBgITkRroDpiZ

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:00061e3e3e3e7c7e
Perceptual Hash:963e6160cbcbc636
Difference Hash:ccbc7c6864e4d0d4
Wavelet Hash:00061e3e3e3e7c7e
Color Hash:#ae87c5

Other Hashes

Crop Resistant:ccbc7c6864e4d0d4

Scan History

Scan history not available

Unable to load historical scan data