Security Scan Report: doc-aavmdlr.vercel.app

Submitted: Oct 10, 2026, 6:50:49 PMCompleted: Oct 10, 2026, 6:51:25 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Bare email/password capture page on an anonymous Vercel subdomain with no branding or content, a JS-driven login button and odd hidden fields — consistent with a credential-harvesting gate. No IoC or exfiltration evidence. Do not enter credentials.

Risk Factors (5)
Credential (password) capture form on an anonymous shared-hosting subdomain
No site identity, branding, footer, terms or content — page exists only to collect email/password
Form submits to javascript:void(0) with no visible or cross-origin destination recorded
Non-standard hidden fields (pdf1, address, type) on a login form
Unranked domain with unknown page age on a platform anyone can publish to
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-aavmdlr.vercel.app' is registered with subdomain 'doc-aavmdlr'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Breaking it apart gives 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.72s
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
1564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
0184.195.28.35Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1516--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A54484B0E20C20DA7336C44FBF81B6A962B5F369D5514DA6F21F6C5C4EC268611E2F39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LIlMIpu80PxXE4YXJgndFTfy9lQOw/71gIuiHlqqm68lDbNBmbfNyHT2Ic7c1++0:Ji8Px04YXGdFTyHQ/Z6woHzf09Kk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260810:okGc8EgHQEKIEBbVI9XyoQiXBgRqFCISANRDBZoBYRBAhQiBAIDhCSSQkKHMJTA0RXR/VYNVUEQgPPERDqCAACE4omeu5UIQ

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:#77862d

Scan History

Scan history not available

Unable to load historical scan data