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

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Confirmed phishing page on a Vercel subdomain: it presents a fake login form, carries a Telegram bot token to exfiltrate submissions, and is flagged by Google Safe Browsing for Social Engineering. Do not enter credentials.

Risk Factors (5)
Credential-capture form (email + password) on a free hosting subdomain of unknown creation age
Hidden form fields inconsistent with a normal login page (pdf1, address, email, type)
Telegram bot token embedded in page script enabling exfiltration of submitted data
Cross-origin POST of visitor data to ipinfo.io
Google Safe Browsing Social Engineering verdict and a threat-intel phishing report for the primary domain
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'swvcnm.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'swvcnm'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.68s
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
1564.29.17.131Aws · CLOUDUnited States
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0151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0100.57.222.145Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0104.21.26.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1517--

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:#783a6d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data