Security Scan Report: doc-ythvvbc.vercel.app

Submitted: Oct 11, 2026, 7:50:33 PMCompleted: Oct 11, 2026, 7:51:12 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake login page on a throwaway vercel.app subdomain that collects email/password and ships it to a Telegram bot; flagged by Safe Browsing for social engineering and by threat intel for phishing.

Risk Factors (6)
Credential-harvesting login form (email + password) on a throwaway subdomain
Telegram bot token embedded in inline script — live exfiltration sink for submitted data
Google Safe Browsing Social Engineering detection
Primary-domain phishing report in threat intelligence
Hidden form fields (pdf1, address, email, type) and javascript:void(0) form action inconsistent with a genuine login page
Unknown-age subdomain on a shared hosting platform with no reputation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'doc-ythvvbc.vercel.app' is registered; it also runs on subdomain 'doc-ythvvbc'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.53s
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
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
1100.57.222.145Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1104.21.26.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1515--

Detected Technologies10

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:#7994d2

Scan History

Scan history not available

Unable to load historical scan data