Security Scan Report: startupfa.me

Submitted: Jan 8, 2026, 1:03:16 PMCompleted: Jan 8, 2026, 1:04:35 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is startupfa.me and was registered NaN years ago.

Submitted URL: https://startupfa.me

The Cisco Umbrella rank of the primary domain is #764,878 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site showing Vercel security checkpoint, no threats detected.

Safety Factors
Established domain age (>180 days)
No forms collecting sensitive data
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Vercel Security Checkpoint

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

The domain 'startupfa.me' uses the Montenegrin country-code top-level domain (.me) with no subdomain. The registrable portion 'startupfa' spans 9 characters containing 3 vowels alongside 6 consonants. It segments into two words: startup, fa. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://startupfa.me

Page Load Overview

7.65s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
technology software
47%
cryptocurrency blockchain
36%
news media journalism
35%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.150.1.1United States
AS16509AMAZON-02
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10AE2F880D708FC617242898E60FE1C252254F9B27606DB98FF91DDB6FBA98C05016F9F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:cAkLWL+h3qDG/JGJPa+WZMcR9+g54AHFDSnTVp/YU+W:cAkSLA38+GJy+WZM29+gKAHuVpr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32571:IGhUhcHFwkKwIAIkkChABxCIMIHEEMAIJQlJQDAdSJjFcFjIEFLQaRFDgESIIIkSMTECEcBi4UCRrAiJigWEYBEMCCBVgApg

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:ffffffe7e7ffffe3
Perceptual Hash:e699cc9966934c99
Difference Hash:0000000c08000004
Wavelet Hash:fcfcfce420303c00
Color Hash:#79d2ad

Other Hashes

Crop Resistant:0000000c08000004

Scan History

Scan history not available

Unable to load historical scan data