Security Scan Report: gerg-liart.vercel.app

Redirected to:
https://gerg-liart.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 5 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://gerg-liart.vercel.app/

Effective URL:
https://gerg-liart.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Phishing login page on a vercel.app subdomain that harvests email/password and exfiltrates them to a Telegram bot along with the victim's IP address. Do not enter credentials.

Risk Factors (5)
Credential harvesting login form with password field on an anonymous free-hosting subdomain
Credential exfiltration to Telegram via bot token in inline script
External IP lookup used to enrich stolen credentials
Cloud hosting platform tenant (.vercel.app) with unknown, potentially brand-new creation date
ML content classifier flags page as phishing scam
Domain age information unavailable

Details

Page Title

계정 인증

Scan Type

public

Domain Name Analysis

You're looking at domain 'gerg-liart.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'gerg-liart'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Segmentation suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://gerg-liart.vercel.app/

Page Load Overview

0.70s
Total Load Time
261 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:60%
Script:Hangul
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ko

Website Classification

Primary Category

phishing scam61% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
61%
finance banking
37%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1209.94.90.1United States
AS40680Protocol Labs
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14982836B24F720516A93E4BC3BAF53053265E0039A09CD287F9C53498F46B99ACB37DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vJ+U3RWl0Kikc+3eVPH1hPRHa4sx8utqqnA65Fk619uY/cQ5uG9Rk4HyfAy+ylJH:vIGaFmIofsiJ6eGCIdrfVs3b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19151:AgsDpGFcQcdEGCQFIYoGlFhQAACQkVIROiUIFkwUSAGLRoHQQBoi8VhkAYRoNqRSuLkitII0hTVEBAhCuMOCiThECkG8CKC3

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:181c180018000000
Perceptual Hash:9999cc66663331d9
Difference Hash:32b2b24c300c0000
Wavelet Hash:3c3c3820dcccc0c0
Color Hash:#931f3c

Other Hashes

Crop Resistant:32b2b24c300c0000

Scan History

Scan history not available

Unable to load historical scan data