Security Scan Report: amazing-room-712864.framer.app

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Submitted: Oct 22, 2025, 12:41:07 PMCompleted: Oct 22, 2025, 12:42:42 PMpubliccompleted
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Summary

This website contacted 18 IPs in 1 country across 3 domains to perform 14 HTTP transactions. The main domain is amazing-room-712864.framer.app.

Submitted URL: https://amazing-room-712864.framer.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site on a brand‑new Framer subdomain.

Risk Factors
Newly registered domain (<7 days) collecting credentials
Presence of a password field on an untrusted, low‑reputation domain
Absence of any brand verification – generic login page
Domain not listed in Cisco Umbrella top 1M (unranked)
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

technology software

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'amazing-room-712864.framer.app' is registered with subdomain 'amazing-room-712864'. Count 6 characters in 'framer' split between two vowels and 4 consonants. Breaking it apart gives one word: framer. The median word length lands at 6 characters. 'frame' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and French.

Screenshot

Security scan screenshot of https://amazing-room-712864.framer.app/

Page Load Overview

76.26s
Total Load Time
14
HTTP Requests
3
Domains
19 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:155 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1452.223.52.2United States
AS16509AMAZON-02
013.226.244.93United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
02600:9000:2724:5400:d:ada1:a280:93a1United States
AS16509AMAZON-02
013.226.244.91United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
1418--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12583ED93615DF164ACD7693EEB5CE5289D252140FF72C3CBA29E821F41C9EF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwd0GWxyh8H:olXxyh8H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86517:IJ4AkAiuCkJEA2AHN9AGrk30wlU0EsSAxLACghJBEAgsRCBguEIqgA9A5cQgAYYQQKCJZMAEIAEsgyARXBVGjAbADGYCCQoS

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:ffff7f3f3fffffff
Perceptual Hash:87f0f80f07f8f007
Difference Hash:000080c050004000
Wavelet Hash:f0f0303030f0f0f0
Color Hash:#5391ac

Other Hashes

Crop Resistant:000080c050004000

Scan History

Scan history not available

Unable to load historical scan data