Security Scan Report: aunmnu.vercel.app

Submitted: Oct 7, 2026, 3:51:54 PMCompleted: Oct 7, 2026, 3:52:28 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Unranked vercel.app subdomain hosting an anonymous email/password login form, flagged by Google Safe Browsing for social engineering and reported as phishing. Do not enter credentials.

Risk Factors (5)
Safe Browsing Social Engineering (phishing) detection on the live URL
Single-source phishing threat-intelligence match on the primary domain
Credential-harvesting shape: email + password login form on a free hosting subdomain with unknown creation date
Obfuscated submission path: form action is javascript:void(0) with unexplained hidden fields
No identifiable brand, product, or legitimate service anywhere on the page — no page title, no ownership disclosure
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'aunmnu.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'aunmnu'. The core label 'vercel' covers 6 characters containing 2 vowels alongside four consonants. Segmentation suggests 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://aunmnu.vercel.app/

Page Load Overview

0.73s
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
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.110.95Google · 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.
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0100.60.230.143Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0104.21.26.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1518--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D674D15BA1B910C11E07F4AC26EB66407336F21BD84ADC18FA8E778CCFC564959A27CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HFWxYakFfBJKQe3JdKdHIH9qVmoB0Gw6kmK0dLdMFTeyAyj1gEMSUnfJI+SNyH2/:9BBJKQe3GJxFoiuedEMSo7H0t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:347979:gnJKqkqwJBGqIombkQEE4RBrBICkAAmBCzcQOFDBgEoACXCgQRWsJGm2AEgqKBHX0IgDSYvKQQLElGSQ4EEkVMEQMCKXRMIJ

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:30383c3cf8f8f0f0
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data