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

Redirected to:
https://get-fix-here-got.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 1 country across 5 domains to perform 8 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Facebook credential-phishing kit on a vercel.app subdomain: fake page-deletion appeal collects the password and exfiltrates it to submit-form.com. Flagged by Safe Browsing and threat intel.

Risk Factors (5)
Brand impersonation of Facebook on an unrelated, unranked vercel.app subdomain
Credential exfiltration to external endpoint submit-form.com
Safe Browsing social-engineering detection and multi-feed phishing threat intel on the primary domain
Account-deletion coercion used to pressure victims into submitting credentials
Instant-publish shared hosting subdomain of unknown actual creation age
Domain age information unavailable

Details

Page Title

Privacy Center

Scan Type

public

Domain Name Analysis

The domain '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. Splitting it apart reveals 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

) Select Your Language Choose your preferred language for the page content | Q Search languages... English | SS Hindi Spanish | EN Portuguese | EX Arabic l| Vietnamese

Page Load Overview

1.14s
Total Load Time
226 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,846 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network51% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
51%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1143.204.181.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0143.204.181.67Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
018.66.122.21Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
018.66.122.102Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
810--

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:99c96766323199ce
Difference Hash:0d7171717171710e
Wavelet Hash:003c3c3c3d3d3f03
Color Hash:070000080c0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data