Security Scan Report: doc-mkvelinb.vercel.app

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 1 country across 11 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://doc-mkvelinb.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake login page on an anonymous Vercel subdomain: Safe Browsing social-engineering hit, hidden phishing-kit fields, and a Telegram bot token in the page script for exfiltrating entered credentials.

Risk Factors (5)
Google Safe Browsing Social Engineering detection
Credential-collecting login form on an anonymous shared-hosting subdomain with unknown creation date
Telegram bot token in inline script enabling stealth credential exfiltration
Hidden campaign/kit fields (pdf1, address, type) inconsistent with a genuine login page
Single-source threat-intelligence phishing report on the primary domain
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'doc-mkvelinb.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'doc-mkvelinb'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://doc-mkvelinb.vercel.app/

Page Load Overview

0.58s
Total Load Time
372 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:已下架
Text Length:219 chars
Detector Agreement:100%
Language mismatch: Declared as 已下架 but detected as en

Website Classification

Primary Category

adult content29% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
29%
news media journalism
29%
finance banking
27%
government public service
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
034.232.78.185Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1517--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A4484B0E20C20DA7336C44FBF81B6A962B5F369D5514DA6F21F2C5C4EC268611E2F39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LIlMIpu80PxXE4YXJgndFTfy9lQOw/71gIuiHlqqm68lDbNBmbfNyHT2Ic7c1+G0:Ji8Px04YXGdFTyHQ/Z6woHzT09Kk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260810:ktGKUUqBycABWAIKA5UmwIAWDg1JUaMlkgBiHFIHQ+IHGAA6AAGQnqQIqU5EIOCVKHDSogQWKgWpB7ObCIIhAqKAFIYATYBg

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:0018181818000000
Perceptual Hash:88cc3333337733cc
Difference Hash:4db3b3b3b34d3101
Wavelet Hash:2f1b1b1b1b070f0f
Color Hash:#61d22d

Scan History

Scan history not available

Unable to load historical scan data