Security Scan Report: www.gabiasckrss.vercel.app

Redirected to:
https://gabiasckrss.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 13 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

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

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake login page on a free .vercel.app subdomain that harvests email/password and exfiltrates it to a Telegram bot; flagged by Safe Browsing for social engineering. Do not enter credentials.

Risk Factors (6)
Verified credential-harvesting form (email + password) on a free hosting subdomain
Credential exfiltration to Telegram bot API via embedded bot token
Google Safe Browsing Social Engineering verdict
Visitor IP/geolocation lookup (ipinfo.io) alongside the credential POST
Hidden form fields (pdf1, address, email, type) indicating a packaged phishing kit
Domain unranked in Cisco Umbrella and actual subdomain age unknown
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'www.gabiasckrss.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.gabiasckrss'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.98s
Total Load Time
332 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 content29% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
29%
news media journalism
29%
finance banking
27%
government public service
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1864.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
020.41.66.225Azure · CLOUDSeoul, Seoul, South Korea
AS8075Microsoft Corporation
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
1819--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B74D15BA1B910C11E07F4AC26EB66407336F11BD84ADC18FA8E778CCFC964959A27CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FfFWxYakFfBJKQe3JdKdHIH9e1moB0Gw6kmK0dLdMFTeyAyj1gEMSUnfJI+INyHa:bBBJKQe3GJDloiuedEMSoVHanxH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348782:w2mQQBI5EIFVwEAgyKYHXBhHmA4wSd3MgD1QEaUp6AYCZQgLB5IiskigSCikiMAiAAmsYaiKEJfbIIAhEiJCqIKBQJBJT7go

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:1c1c1c1c3c3c0c0c
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data