Security Scan Report: aunmnu.vercel.app

Submitted: Sep 30, 2026, 2:52:08 PMCompleted: Sep 30, 2026, 2:52:42 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

Unknown-age vercel.app subdomain hosting an unbranded email/password login with generic failure text, hidden extra fields, and a single-source phishing report on the primary domain. Do not enter credentials.

Risk Factors (5)
Credential (email + password) collection form on a shared hosting platform subdomain of unknown age
Single-source phishing report on the primary domain
Hidden non-standard form fields (pdf1, address, type) inconsistent with a real login page
Form posts to javascript:void(0) rather than an authenticated same-origin endpoint
No brand ownership, contact, or legal content to legitimise a login page
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'aunmnu.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aunmnu'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside 4 consonants. Breaking it apart gives 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://aunmnu.vercel.app/

Page Load Overview

0.57s
Total Load Time
373 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

news media journalism29% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
29%
adult content
28%
finance banking
27%
government public service
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.198.79.67Aws · CLOUDUnited States
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0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0172.217.208.95Google · 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.
0142.251.151.119Google · CDNUnited States
AS15169Google LLC
052.6.161.198Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0104.21.26.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1516--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14474D15BA1B910C11E07F4AC26EB66407336F21BD84ADC18FA8E778CCFC564959A27CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HFWxYakFfBJKQe3JdKdHIH9qVmoB0Gw6kmK0dLdMFTeyAyj1gEMSUnfJI+ZNyH2/:9BBJKQe3GJxFoiuedEMSomH0t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:347865:QxLCCAqIAEQFOKAuYQKfiSQF8DAGgFAiXDTrYCDgrUAhXgpKyGBYFkfKIhArYghQElBIghBADIYQCCIQMkGIC/BADdoBMBMZ

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:9999666666333399
Difference Hash:4cb2b2b2b24c3000
Wavelet Hash:3038383818100000
Color Hash:#865c2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data