Security Scan Report: get-trezzore.framer.ai

Submitted: Dec 20, 2025, 3:23:40 AMCompleted: Dec 20, 2025, 3:24:33 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is get-trezzore.framer.ai and was registered NaN years ago.

Submitted URL: https://get-trezzore.framer.ai/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site shows a not‑found page; no security concerns detected.

Safety Factors
Domain age > 7 years
No malicious Indicators of Compromise
No credential or payment collection forms
Page returns a 404/not‑found placeholder
Domain age information unavailable

Details

Page Title

Site Not Found | Framer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the Anguillan country-code top-level domain (.ai), 'get-trezzore.framer.ai' is registered and includes subdomain 'get-trezzore'. Its registrable label 'framer' stretches across 6 characters containing two vowels alongside 4 consonants. It segments into one word: framer. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://get-trezzore.framer.ai/

Page Load Overview

1.12s
Total Load Time
4
HTTP Requests
2
Domains
61 KB
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:83 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.164.68.36United States
AS16509AMAZON-02
152.223.52.2United States
AS16509AMAZON-02
13.164.68.90United States
AS16509AMAZON-02
43--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FEE1EC16145B6000BA036C9D27CBB369101CE107A495DA367FFC2A6CCFDE93A52E2B6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fEulitSSs9eMnFsh80zekZtKqpu4L6Zyks2G:fEulaPQRG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6815:/SwhQgCB0EtAQQVGAEQAAgDDEEPBMBDyAoaAhQBIoEsFBAADA5ggGIYAIAyCiLEAwBojyoQKBPJQSoQAEoCXgAIKjACIABEA

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:ffffffe7c3ffffff
Perceptual Hash:e69b9964269bcc64
Difference Hash:000000080c000000
Wavelet Hash:0f0f3f27002c3c3c
Color Hash:#ac53a3

Other Hashes

Crop Resistant:000000080c000000

Scan History

Scan history not available

Unable to load historical scan data