Security Scan Report: doc-aavmdlr.vercel.app

Submitted: Completed: publiccompleted
This website contacted 19 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-aavmdlr.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Anonymous vercel.app page with a bare email/password login and no branding; an inline Telegram bot token provides a credential exfiltration channel plus hidden data fields — consistent with a phishing kit. Do not enter credentials.

Risk Factors (5)
Password/email credential capture on an anonymous, randomly named vercel.app subdomain with no identified owner or brand
Telegram bot token embedded in inline page script — a ready-made credential exfiltration channel
Hidden form fields (pdf1, address, email, type) unrelated to a normal login, indicative of a phishing kit harvesting extra victim data
No page title, no branding, no legitimate service identity despite requesting email credentials
Network IDS alerts for actor-abused cloud hosting service usage
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'doc-aavmdlr.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'doc-aavmdlr'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Word splitting yields 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://doc-aavmdlr.vercel.app/

Page Load Overview

1.68s
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.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.127.95Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
0100.57.222.145Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1519--

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:#c7e06c

Scan History

Scan history not available

Unable to load historical scan data