Security Scan Report: bggfccthhcttch.vercel.app

Submitted: Jul 3, 2026, 2:52:09 AMCompleted: Jul 3, 2026, 2:56:33 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: 75%

7
Risk Score

Site is flagged by Google Safe Browsing for social engineering; treat as high‑risk phishing and do not engage.

Risk Factors
Unranked domain not in Cisco Umbrella top 1M
Subdomain on hosting platform with unknown age
Google Safe Browsing Social Engineering detection
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

You're looking at domain 'bggfccthhcttch.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'bggfccthhcttch'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bggfccthhcttch.vercel.app/

Page Load Overview

8.07s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:771 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
56%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D8193377B69211AF333C89FA0C26B993010A221D1ABDAB9FF579F15D5CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMFl9R:TGRe91n5O6Yp63XKk1Vr3hFl9RkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAEIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5IAJAAkACKwA

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:3c3c3c00c0c0fcfc
Color Hash:#8791c5

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data