Security Scan Report: tamabettama.com

Redirected to: https://1jiliph.com/?host=https://w9746b.com?ch=66837

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Submitted: Jan 12, 2026, 2:42:45 PMCompleted: Jan 12, 2026, 2:44:29 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 27 HTTP transactions. The main domain is 1jiliph.com and was registered NaN years ago.

Submitted URL: https://tamabettama.com/ndrjmwuwn.html

Effective URL: https://1jiliph.com/?host=https://w9746b.com?ch=66837Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

New unranked site with no evident malicious content; low risk.

Safety Factors
No malicious Indicators of Compromise
No forms collecting passwords or payment data
No known brand impersonation on a high‑reputation domain
Domain age information unavailable

Details

Page Title

5OK.CC - The Philippines' No.1 gaming platform

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(61%)

Domain Information

The domain 'tamabettama.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 11 characters in 'tamabettama' holding five vowels versus 6 consonants. Word splitting yields three words: tama, bet, tama. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tamabettama.com/ndrjmwuwn.html

Page Load Overview

27.52s
Total Load Time
27
HTTP Requests
2
Domains
768 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
Text Length:1,047 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting61% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
61%
social media network
41%
entertainment media
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.67.159.242United States
AS13335CLOUDFLARENET
13172.67.186.199United States
AS13335CLOUDFLARENET
272--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F626462D1DA76BB021382E0263B7F29F157446BDE1A8490B4EE0BD44FE6EC3D96315C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:nxskvkUhe2qFbTVx4aLKIdGj8P53Zf+dS:nx7he2qFbBx4aWIdM8h3l+g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15810:kITAAd7kIGQgGETE4AaiPcLYBqSDgCaSglA0aKlJEAFG5kFgJACCCA2DBLZIOSANCAKFkDELgKAZgSEYyQHoUDQCiJkRQDMA

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:ff01c11919010101
Perceptual Hash:a8f0e6ccc9d1c6cc
Difference Hash:0dcd1d9331154d4d
Wavelet Hash:ffe7e7db19010101
Color Hash:#b5bf40

Scan History

Scan history not available

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