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Security Scan Report: get-fix-here-got.vercel.app

Redirected to:
https://get-fix-here-got.vercel.app/
Submitted: Jul 16, 2026, 12:50:53 AMCompleted: Jul 16, 2026, 12:53:36 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is get-fix-here-got.vercel.app and was registered NaN years ago.

Submitted URL: http://get-fix-here-got.vercel.app

Effective URL: https://get-fix-here-got.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

High‑risk site with JavaScript credential harvesting; likely phishing kit.

Risk Factors
Credential exfiltration via JavaScript
Cross‑origin network request to unknown external endpoint
Unknown subdomain age on a hosting platform
Safety Factors
No known malicious IoC matches
No YARA malware detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 5
Domain age information unavailable

Details

Page Title

Privacy Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(49%)

Domain Information

The domain name 'get-fix-here-got.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'get-fix-here-got'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://get-fix-here-got.vercel.app

Page Load Overview

1.02s
Total Load Time
9
HTTP Requests
5
Domains
6.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,846 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network49% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
49%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
118.66.122.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1143.204.181.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
95--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3A3F8DE6276E521544BA1AD37D52B3A1214A023C14ADB603FAC1A548FCEE9DCD733EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:y50yaWca88/o8g8z9BSvat0DeRe675mvoncB:y50yaWca8d81cB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106572:sKeFQGERCIggFQiIRHMFG9FJYgyC/0NEprxADkAJpDiiAQAMAqDKwl1gAQcEA40EEQGMbEARCKJPDYlAMBASEQweUAnkKjSJ

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:00183c3c3c3c1800
Perceptual Hash:89cb6766323199ce
Difference Hash:0d7171717171710e
Wavelet Hash:003c3c3c3d3d3f03
Color Hash:#3a7864

Other Hashes

Crop Resistant:96b2b4a6a6e6a231,0d7171717171710e

Scan History

Scan history not available

Unable to load historical scan data