Security Scan Report: www.curly-doodle-iota.vercel.app

Redirected to:
https://curly-doodle-iota.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 21 IPs in 1 country across 12 domains to perform 17 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.curly-doodle-iota.vercel.app/

Effective URL:
https://curly-doodle-iota.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed phishing: a fake Email/Password login on a throwaway Vercel subdomain that pipes captured credentials to a Telegram bot, and is already flagged by Google Safe Browsing for social engineering. Do not enter any credentials.

Risk Factors (6)
Google Safe Browsing Social Engineering (phishing) detection
Credential collection form (email + password) with javascript:void(0) action
Telegram bot token in inline script — credential exfiltration channel
Hidden form fields inconsistent with a simple login page
Randomly-named subdomain on a free hosting platform with unknown creation date
Network IDS alerts for actor-abused cloud hosting domains
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'www.curly-doodle-iota.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.curly-doodle-iota'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Breaking it apart gives 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 http://www.curly-doodle-iota.vercel.app/

Page Load Overview

5.08s
Total Load Time
372 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

adult content28% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
28%
finance banking
28%
news media journalism
28%
government public service
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1764.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0151.101.129.155Fastly · 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.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
1721--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D04484B0E20C20DA7336C44FBF81B6A962B5F369D5514DA6F21F6C5C4EC268611E2F39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LIlMIpu80PxXE4YXJgndFTfy9lQOw/71gIuiHlqqm68lDbNBmbhqNyH6b2Ic7c1J:Ji8Px04YXGdFTyHQ/Z6whHMr00FX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260810:EMCIQ1QVAIwUQGA4IekACAAQOAswASGlExElTwAnLBYGRME4bEK0gMQE8YBdIQLcCETaOAgSgiOAEY4hAggSKeDE8CImFQAR

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:88cc3333337733cc
Difference Hash:4db3b3b3b34d3101
Wavelet Hash:2f1b1b1b1b070f0f
Color Hash:#40a6bf

Scan History

Scan history not available

Unable to load historical scan data