Security Scan Report: tworivertimes.com

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Submitted: Jul 5, 2026, 8:23:44 PMCompleted: Jul 5, 2026, 8:25:38 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 2 HTTP transactions. The main domain is tworivertimes.com and was registered NaN years ago.

Submitted URL: https://tworivertimes.com/gotterupwinsfirstpgatourtitle/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site appears to be a legitimate news article with self‑branding, no credential collection, but exhibits high JS obfuscation and some suspicious ad‑related requests, warranting moderate risk.

Risk Factors
High JavaScript obfuscation and extensive eval()/Function() usage
Multiple external POST requests to ad networks
ML classifier flagged phishing with 58% confidence
Safety Factors
Old, well‑established domain
Self‑branding matches domain
No credential or payment collection
No malicious network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Little Silver’s Gotterup Wins First PGA Tour Title in 27th Start - Two River Times

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(58%)

Domain Information

Domain 'tworivertimes.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'tworivertimes' stretches across 13 characters holding 5 vowels versus eight consonants. Segmentation suggests three words: two, river, times. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tworivertimes.com/gotterupwinsfirstpgatourtitle/

Page Load Overview

11.55s
Total Load Time
307
HTTP Requests
42
Domains
6.0 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:10,626 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
58%
social media network
57%
blog personal website
56%
government public service
56%
documentation technical
54%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49172.67.69.99Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43142.250.154.95Google · CDNUnited States
AS15169Google LLC
43142.251.110.155Google · CDNUnited States
AS15169Google LLC
43104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43104.21.50.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
43192.124.249.102Menifee, California, United States
AS30148Sucuri
3077--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111242A73893109BEC7AEA99176ED33D8A207331DDAC657D0F1BDC3C84786C26A493694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:WnfhfHYVKSdMDIE2PR72u0kh3lfdgdmJnZPIf+I7A:0dDIE2Jl6C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:226412:YmRhARlMMFAHIRgOhmEoAScBEACKYMBImAGeYgD3gTJIRF7AhSgAkICRJoAGIMWhAKKIStCXKdC5YgIy2GioDgYwAI9gUgBo

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:000000fff7ffffff
Perceptual Hash:8e1b1be4b1b1651b
Difference Hash:616969cd0706263a
Wavelet Hash:000000ff00ffffff
Color Hash:#d22d72

Scan History

Scan history not available

Unable to load historical scan data