Security Scan Report: c17pu9o6k3-3755b1f233.vercel.app

Submitted: Sep 8, 2026, 1:45:08 AMCompleted: Sep 8, 2026, 1:46:37 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is c17pu9o6k3-3755b1f233.vercel.app and was registered 6 years ago.

Submitted URL: https://c17pu9o6k3-3755b1f233.vercel.app/meta-dashboard-7278396322437519.html

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

Domain 'c17pu9o6k3-3755b1f233.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'c17pu9o6k3-3755b1f233'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://c17pu9o6k3-3755b1f233.vercel.app/meta-dashboard-7278396322437519.html

Page Load Overview

0.46s
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

cryptocurrency blockchain57% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
57%
news media journalism
56%
government public service
56%
real estate property
54%
healthcare medical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195United States
AS16509Amazon.com, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D73172B745B1702EF33B8CFE34E633642244811BC0820F99B618ABB8E2C7CA75123785

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7ZZ0:TGi9ScnwEYZZ0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgAiIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQAREAAgIggAIAIAB

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:3c3c3c2424343c24
Color Hash:#bfb240

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data