Security Scan Report: doc-ythvvbc.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-ythvvbc.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake login page on an anonymous .vercel.app subdomain: Safe Browsing flags social engineering, and the page's own script carries a Telegram bot token to receive whatever credentials are typed.

Risk Factors (7)
Google Safe Browsing Social Engineering detection on the scanned URL
Password field present on an anonymous free-hosting subdomain with no stated owner or service
Telegram bot token embedded in inline script — hard-coded exfiltration channel for captured data
Hidden form fields unrelated to a genuine login (pdf1, address, type) consistent with a phishing kit
Anonymous vercel.app tenant subdomain with no verifiable identity or purpose
Threat intelligence reports the primary domain as phishing
Network IDS recorded actor-abused cloud hosting service traffic (vercel.app) in DNS and TLS SNI
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'doc-ythvvbc.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'doc-ythvvbc'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Splitting it apart reveals 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://doc-ythvvbc.vercel.app/

Page Load Overview

0.47s
Total Load Time
371 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
15216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.127.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
0107.23.54.80Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0172.67.139.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1517--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD4484B0E20C20DA7336C44FBF81B6A962B5F369D5514DA6F21F2C5C4EC268611E2F39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LIlMIpu80PxXE4YXJgndFTfy9lQOw/71gIuiHlqqm68lDbNBmbfNyHT2Ic7c1+Y0:Ji8Px04YXGdFTyHQ/Z6woHzt09Kk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260810:ExSy4sDIWcgNCCICBYUGRIlGgIRDGKAFgCFCEJFgA3JFGADwIUKRv6AB4BJANuAdGVTekIQSAkYoJtUBAaoUCzDEBA4gDYob

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:070000001c0

Scan History

Scan history not available

Unable to load historical scan data