Security Scan Report: aunmnu.vercel.app

Submitted: Completed: publiccompleted
This website contacted 18 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: 92%

10
Risk Score

Bare email/password login on a free .vercel.app subdomain that pipes submitted data to a Telegram bot token, with a Safe Browsing social-engineering hit and a phishing report. Classic credential-harvesting page — do not enter credentials.

Risk Factors (7)
Credential capture form (email + password) on shared hosting infrastructure
Telegram bot token in inline JavaScript enabling out-of-band exfiltration of submitted data
Google Safe Browsing social-engineering/phishing detection
Phishing threat-intelligence report against the primary domain
Obfuscated form handling (javascript:void(0) action, unexplained hidden fields)
Unranked domain and unknown subdomain age on a platform frequently abused for phishing
Network IDS observed traffic to actor-abused cloud hosting and image-proxy services
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); it also runs on subdomain 'aunmnu'. Count 6 characters in 'vercel' containing 2 vowels alongside 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://aunmnu.vercel.app/

Page Load Overview

1.22s
Total Load Time
374 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

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0142.250.154.95Google · CDNUnited States
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0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · 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
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:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data