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

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake document-login page on a Vercel subdomain that collects email/password and ships input to Telegram via a bot token in its own script — a credential-harvesting kit, not a real service.

Risk Factors (5)
Credential harvesting form with active Telegram-bot exfiltration path
Hidden kit-style fields (pdf1, address, type) indicating a fake document-sharing lure
Form does not post to any verifiable authentication service (javascript:void(0) handler)
Free shared-hosting subdomain with no reputation and unknown creation date
IDS alerts for actor-abused cloud hosting service and screenshot capture service
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'doc-aavmdlr.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'doc-aavmdlr'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Segmentation suggests 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

0.69s
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
1564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
1517--

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:N/A

Scan History

Scan history not available

Unable to load historical scan data