Security Scan Report: swvcnm.vercel.app

Submitted: Oct 6, 2026, 3:51:04 PMCompleted: Oct 6, 2026, 3:51:44 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 76%

9
Risk Score

Bare vercel.app login page with no branding harvests email/password and is flagged as phishing; hidden fields and an ipinfo.io location POST fit a phishing kit. Do not enter credentials.

Risk Factors (5)
Primary domain flagged as phishing in threat intelligence (single-source, unverified)
Credential-collecting login form (email + password) on a free hosting subdomain with no legitimate site identity
Form action javascript:void(0) with orphan hidden fields (pdf1, address, email, type) — no legitimate submission endpoint
Cross-origin POST to ipinfo.io for visitor geolocation, a common phishing-kit telemetry pattern
Unranked, unidentified host with no branding, content, or owner information
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'swvcnm.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'swvcnm'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.35s
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
1564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
0100.61.51.65Aws · 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:3038383818100000
Color Hash:#6a2d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data