Security Scan Report: jovial-location-315292.framer.app

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Submitted: Nov 15, 2025, 5:25:53 PMCompleted: Nov 15, 2025, 5:26:34 PMpubliccompleted
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Summary

This website contacted 30 IPs in 1 country across 4 domains to perform 21 HTTP transactions. The main domain is jovial-location-315292.framer.app.

Submitted URL: https://jovial-location-315292.framer.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Site hosts a hidden login form on a newly created domain – likely a phishing scam.

Risk Factors
Credential harvesting form on a brand‑new, unranked domain
Hidden password field suggests deceptive intent
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(38%)

Domain Information

The domain 'jovial-location-315292.framer.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jovial-location-315292'. Its registrable label 'framer' stretches across 6 characters containing two vowels alongside four consonants. Splitting it apart reveals one word: framer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jovial-location-315292.framer.app/

Page Load Overview

21.20s
Total Load Time
21
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:144 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
38%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2165.9.175.129United States
AS16509AMAZON-02
065.9.175.34United States
AS16509AMAZON-02
065.9.175.35United States
AS16509AMAZON-02
065.9.175.3United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
065.9.175.120United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
013.226.244.91United States
AS16509AMAZON-02
052.223.52.2United States
AS16509AMAZON-02
02600:9000:2096:8200:10:9b9d:b9c0:93a1United States
AS16509AMAZON-02
2130--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C931193615DF064ACE7693EEB5DE5285D252140FF32C3CBA29E821F45CDAF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaGaTVhVk9VCwd+p2QUJ6/BG87:hJq+QJ65G87

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91024:vCkEMOIBACg4QRJuMjiScxBkigJQsGENgCCSCG2VFCM4tBYAUFBBMFqi/ATAAkFEMTgvmAIoACkTKKDUEwB0IAIEXFIQROcg

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:00c0c0c0c0c00001
Perceptual Hash:f8f807070b07f8f4
Difference Hash:4121212121214101
Wavelet Hash:01c1c1c1c1c10101
Color Hash:#d27992

Scan History

Scan history not available

Unable to load historical scan data