ScanMalware.com

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

Submitted: Jul 16, 2026, 12:50:54 AMCompleted: Jul 16, 2026, 12:53:36 AMpubliccompleted
Loading additional data...

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: https://get-fix-here-got.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

The site exhibits critical JavaScript credential exfiltration despite lacking visible forms, indicating a high‑risk phishing kit.

Risk Factors
Critical credential exfiltration via JavaScript
Cross‑origin POST to unknown external domain
Subdomain on Vercel with unknown age (potentially brand new)
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
No visible login or payment forms
No known malicious IoC or YARA matches
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) and includes subdomain 'get-fix-here-got'. Count 6 characters in 'vercel' split between two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.98s
Total Load Time
8
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
4185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
1143.204.181.46Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.66.122.39Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
85--

Detected Technologies2

Vercel
40%
HSTS
40%

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:#2d8637

Other Hashes

Crop Resistant:96b2b4a6a6e6a231,0d7171717171710e

Scan History

Scan history not available

Unable to load historical scan data