Security Scan Report: bggfccthhcttch.vercel.app

Submitted: Jul 10, 2026, 3:51:33 AMCompleted: Jul 10, 2026, 3:53:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is bggfccthhcttch.vercel.app and was registered NaN years ago.

Submitted URL: https://bggfccthhcttch.vercel.app/

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(75%)

Domain Information

The domain name 'bggfccthhcttch.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'bggfccthhcttch'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Segmentation suggests 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 https://bggfccthhcttch.vercel.app/

Page Load Overview

5.34s
Total Load Time
2
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical75% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
75%
government public service
39%
cryptocurrency blockchain
30%
technology software
28%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF81A4377B69211AF333C89FA0C26B993000A121D1ABDAB9FF579F15D5CA1651E0378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMf/Jv:TGRe91n5O6Yp63XKk1Vr3hfRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQwSAIAAygGSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:30303c00c3c3ffff
Color Hash:#865b2d

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data