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

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Submitted: Completed: publiccompleted
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 (3)
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

Domain Name Analysis

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

er) Login Email or username Co) Password Co) Forgot log-in details? Cancel @ Made in Framer >

Page Load Overview

21.20s
Total Load Time
344 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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:N/A

Scan History

Scan history not available

Unable to load historical scan data