Security Scan Report: www.tooodo.vercel.app

Redirected to:
https://tooodo.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 6 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.tooodo.vercel.app/

Effective URL:
https://tooodo.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake 'Account Verification' login on a vercel.app subdomain; JavaScript ships entered emails and passwords to a Telegram bot and fingerprints visitor IPs — confirmed credential phishing.

Risk Factors (6)
Credential exfiltration to an external service (Telegram bot API) — critical phishing behavior
Hard-coded Telegram bot token embedded in an inline script for harvesting submitted logins
Phishing report against the page's own hostname (openphish.com, single-source unverified)
Anonymous shared-hosting subdomain (vercel.app) with no attributable creation date
Anti-bot 'botcheck' hidden field and external IP lookup consistent with a phishing kit
Network IDS flagged the abused cloud-hosting domain (vercel.app) in DNS and TLS SNI
Domain age information unavailable

Details

Page Title

Account Verification

Scan Type

public

Domain Name Analysis

The domain name 'www.tooodo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.tooodo'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.tooodo.vercel.app/

Page Load Overview

3.15s
Total Load Time
262 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:100 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism36% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
36%
finance banking
34%
phishing scam
28%
e-commerce shopping
25%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1209.94.90.1United States
AS40680Protocol Labs
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
119--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FEA2951BA0ED20045693E5BC7BDB52047265E0239B04CD587E9D93498FC2E98AD73FDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:rJSCwGR+Gf3/1YKGv9WFjKvabIF6ymIbbs0XCuCm9xPWDX7DxpISKAksEioskCGX:rkkQLbbs0XCuCGPS7dpBWsEioskCghf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23082:uB4EBgJgmcxgCkARUMElBgNkUog0AFwAoZYBhCAAUIqhmSGPCRZjGTDDuAJIaDMCAMVEkVARAHU1CAhk4AIYADDAoCCCw1wE

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:1818180018000000
Perceptual Hash:9999cc6666663399
Difference Hash:32b2b24c300c0000
Wavelet Hash:38383c243c3c0c0c
Color Hash:#8479d2

Other Hashes

Crop Resistant:32b2b24c300c0000

Scan History

Scan history not available

Unable to load historical scan data