Security Scan Report: short-tribute-163443.framer.app

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Submitted: Oct 26, 2025, 1:31:36 AMCompleted: Oct 26, 2025, 1:32:36 AMpubliccompleted
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Summary

This website contacted 30 IPs in 1 country across 4 domains to perform 22 HTTP transactions. The main domain is short-tribute-163443.framer.app.

Submitted URL: https://short-tribute-163443.framer.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Uses legitimate Framer platform for site hosting
No credential or payment collection
No brand impersonation detected
No hidden or obfuscated form fields
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(41%)

Domain Information

Domain 'short-tribute-163443.framer.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'short-tribute-163443'. Its registrable label 'framer' stretches across 6 characters containing two vowels alongside 4 consonants. Segmentation suggests 1 word: framer. Expect 6 characters per word on average. Most frequently, 'frame' shows up in English. It also appears in Chinese (Pinyin) and French contexts. Overall, 'short-tribute-163443.framer.app' reads as English with single-word simplicity.

Screenshot

Security scan screenshot of https://short-tribute-163443.framer.app/

Page Load Overview

29.42s
Total Load Time
22
HTTP Requests
4
Domains
101 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:145 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
41%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2218.173.205.84United States
AS16509AMAZON-02
013.226.244.93United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
013.226.244.13United States
AS16509AMAZON-02
013.226.244.6United States
AS16509AMAZON-02
02600:9000:2013:5c00:10:9b9d:b9c0:93a1United States
AS16509AMAZON-02
02600:9000:2013:6a00:10:9b9d:b9c0:93a1United States
AS16509AMAZON-02
2230--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F83EF93615DF064ACD7697EEB5DE4289D252140FF72C3CBA29E821F41CDAF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwijnYkQh89:bl8kQh89

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83332:AGQAaAzQhCNAIkAt15vTwEAAwJAiJMRJDmgQVAERHIo3D0WBjU0yALOYCA2JsbwdVQi9owAAYADIANAAoAjAgAaAHC42hIGR

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:02c2c6c6c40c0c0c
Perceptual Hash:f0f40f07ed078678
Difference Hash:7e96949c9cb8f8f8
Wavelet Hash:02c2c6cecece0c7f
Color Hash:#2d4386

Scan History

Scan history not available

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