Security Scan Report: tommbtaq.vercel.app

Redirected to:
https://tommbtaq.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is 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.

Security Verdict: High Risk

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 with subdomain 'tommbtaq'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

This deployment is unavailable arnd: :nz1nf-1794574680373-051017704498

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%

All Detected Languages

🇩🇰da(56%)🇫🇷fr(44%)

Website Classification

Primary Category

government public service55% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
55%
news media journalism
53%
cryptocurrency blockchain
52%
real estate property
52%
healthcare medical
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1673174B745B1702EF33B88FE34E677686244851BC0920F99B658ABF8E2C7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7C0:nGi9ScnwEYC0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAgEAACYAAIAACAAAAAAICAAIAAIAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAAAQQIAAMAAAAAQAA

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:30303c24e0f0f8e0
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data