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

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site on a brand‑new Framer subdomain.

Risk Factors (4)
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

Domain Name Analysis

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
213 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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