Security Scan Report: botmedya.com

Submitted: Jan 29, 2026, 6:17:50 AMCompleted: Jan 29, 2026, 6:19:30 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is botmedya.com and was registered NaN years ago.

Submitted URL: http://botmedya.com/tiktok/begeni

AI Security Verdict

Low Risk

Confidence: 90%

1
Risk Score

No suspicious activity detected; low risk despite the domain being newly registered.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment forms present
Content appears to be a generic browser UI snippet, not a phishing page
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

documentation technical

(34%)

Domain Information

You're looking at domain 'botmedya.com' on the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'botmedya' stretches across 8 characters split between 3 vowels and 5 consonants. Tokenizing the label suggests 3 words: bot, med, ya. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://botmedya.com/tiktok/begeni

Page Load Overview

9.22s
Total Load Time
24
HTTP Requests
2
Domains
131 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:145 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical34% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
34%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24172.67.164.33United States
AS13335Cloudflare, Inc.
241--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HIkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:Ek2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76905:BWIhDnGIlCwItBQQBcEUaAgCC0oiI03kRiiCUJVhIAQFHbeCeQwQQiCIyEAwwFAJghAmoVAjUwIEYgDqEOlBMCoFAE6CLcUR

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:eee7c3e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c1e0800000000
Wavelet Hash:1e0703270f0f0f0e
Color Hash:#d22d8b

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data