Security Scan Report: tommbtaq.vercel.app

Redirected to:
https://tommbtaq.vercel.app/
Submitted: Sep 25, 2026, 5:50:16 AMCompleted: Sep 25, 2026, 5:50:52 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is tommbtaq.vercel.app and was registered 6 years ago.

Submitted URL: http://tommbtaq.vercel.app

Effective URL:

https://tommbtaq.vercel.app/
Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'tommbtaq.vercel.app' is registered; it also runs on subdomain 'tommbtaq'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://tommbtaq.vercel.app

Page Load Overview

0.16s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

gambling betting62% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
62%
government public service
56%
cryptocurrency blockchain
55%
news media journalism
55%
healthcare medical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB3172B745B1702EF23B8CFE34E633646244811BC0820F99B618AFB8E2C7CA69023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7k0:TGi9ScnwEYk0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACIAAAAAgACAAEAAQAAABAIAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e6998c9966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:30303c24e0f0fce4
Color Hash:#1f2193

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data