Security Scan Report: aunmnu.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://aunmnu.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Credential-harvesting login page on a free vercel.app subdomain with a Telegram bot exfiltration channel and a Google Safe Browsing social-engineering flag; do not enter credentials.

Risk Factors (6)
Google Safe Browsing social-engineering detection
Telegram bot token in inline script enabling collection data exfiltration
Credential-collecting login form (email + password) on a free hosting subdomain
Single-source phishing threat-intelligence match on the primary domain
Cross-origin POST to ipinfo.io for visitor geolocation, typical of phishing kit profiling
Unranked domain with unknown tenant age on a shared hosting namespace
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'aunmnu.vercel.app' is registered with subdomain 'aunmnu'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Word splitting yields 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aunmnu.vercel.app/

Page Load Overview

1.31s
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
15216.198.79.67Aws · CLOUDUnited States
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0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.14.95Google · 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.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.151.119Google · CDNUnited States
AS15169Google LLC
052.4.199.229Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1517--

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:#1f936f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data