Security Scan Report: adoobe.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 3 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://adoobe.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed phishing: a fake 'Cloud Storage' login on a typosquatted vercel.app subdomain harvests email/password and exfiltrates them, with the client IP, to a Telegram bot. Safe Browsing flags social engineering. Avoid entirely.

Risk Factors (6)
Verified credential exfiltration to an external channel (Telegram bot) — critical phishing behaviour
Password field (1) and email field (1) collected on a page impersonating a cloud storage login
Google Safe Browsing Social Engineering threat
Typosquatted hostname ('adoobe') on a shared Vercel subdomain; actual page age unknown and not attributable to the platform apex
Cross-origin IP address collection (api.ipify.org) tied to the credential-handling script
Deceptive 'download your file' pretext used to harvest a provider password
Domain age information unavailable

Details

Page Title

☁️ Cloud Storage 🔑 Login

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'adoobe.vercel.app' is registered with subdomain 'adoobe'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Word splitting yields 2 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://adoobe.vercel.app/

Page Load Overview

75.37s
Total Load Time
10 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:416 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
65%
adult content
29%
cryptocurrency blockchain
28%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0185.15.59.240United States
AS14907Wikimedia Foundation Inc.
0195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0142.251.13.104Google · CDNUnited States
AS15169Google LLC
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
38--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19592186222B92025035381FC76D7A6052B3BD103291FD9B4FBBD1554EFCAF1AA172BD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:0H8AL7BeVlNvB7RqBZgaHM90UhHpn6qTs/AkZn:0H8AgVlNvB0XgUY0m60s/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20329:BfmJDIVEoCBDhBF0yQDEgAUADCgNkEZCRqEtAp4Agluo0wFEoXaxZAQBABRYFfomD4LVZuIEYyrCsxkKoUABhZsiypIAiEAD

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:0000181818180000
Perceptual Hash:996666999966cc33
Difference Hash:0008b2b2b2b20400
Wavelet Hash:00101c1c18180000
Color Hash:#741f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data