Security Scan Report: static.getfreed.ai

Submitted: May 19, 2026, 3:32:18 PMCompleted: May 19, 2026, 3:35:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is static.getfreed.ai and was registered NaN years ago.

Submitted URL: https://static.getfreed.ai

The Cisco Umbrella rank of the primary domain is #110,229 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious activity, contains only an error page, and is considered legitimate.

Safety Factors
Well‑established domain age
Absence of malicious indicators
No credential or payment collection
Low JavaScript obfuscation score (standard minification)
No external malicious links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(31%)

Domain Information

Within the Anguillan country-code top-level domain (.ai), 'static.getfreed.ai' is registered, featuring subdomain 'static'. Its registrable label 'getfreed' stretches across 8 characters containing 3 vowels alongside five consonants. Word splitting yields two words: get, freed. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://static.getfreed.ai

Page Load Overview

30.13s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:444 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical31% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1150.171.109.194United States
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16951C8A2DAA3187A9137C4E05EFE676132DAE027C1EA5215FA9C93D8CFC9D907812D01

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:c67PiFWN1QGTUe0427F9LS9CAk1ncqugukV/CwFANyaS9eFgrtF:HiFWN15AN427z7Xczgum/PFANBFgrtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2594:ACAAEQIEAAAABAAAEEEAgIAAVEj4AAAgAAABIAACAoUABAABEMCIARBAAAAEAIAAACgCAASIEAlAACgECAEAAgAAAACCAAAB

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:00ffffffffffffff
Perceptual Hash:98181a1e1f1f1f1f
Difference Hash:bc00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#d22d6f

Other Hashes

Crop Resistant:bc00000000000000

Scan History

Scan history not available

Unable to load historical scan data