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Security Scan Report: fluffy-amount-252178.framer.app

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Submitted: Oct 15, 2025, 2:43:01 PMCompleted: Oct 15, 2025, 2:43:35 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 fluffy-amount-252178.framer.app.

Submitted URL: https://fluffy-amount-252178.framer.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Phishing site impersonating OptusNet; high confidence of scam

Risk Factors
Credential harvesting form on a suspicious, newly registered domain
Brand impersonation on an unranked, likely brand‑typosquatting domain
Domain age unknown but appears to be brand‑new (<7 days)
Lack of legitimate OptusNet branding or official domain
Domain age information unavailable

Details

Page Title

Optusnet

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(58%)

Domain Information

You're looking at domain 'fluffy-amount-252178.framer.app' on the application-focused generic top-level domain (.app), featuring subdomain 'fluffy-amount-252178'. Count 6 characters in 'framer' containing two vowels alongside 4 consonants. Splitting it apart reveals one word: framer. Median word length is 6 characters. 'frame' most strongly signals English. It also appears in Chinese (Pinyin) and French contexts.

Screenshot

Security scan screenshot of https://fluffy-amount-252178.framer.app/

Page Load Overview

5.22s
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:129 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
58%
documentation technical
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2135.71.142.77United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
018.172.112.120United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
02600:9000:2724:a200:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:2200:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2761:3400:10:9b9d:b9c0:93a1United States
AS16509AMAZON-02
2130--

Detected Technologies6

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Framer Sites
60%
React
50%
HTTP/3
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F83EE97615DF064ACD7693EEB5DE52C9D252140FF32C38BA29E821F41CDAF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwiFXYZCBG8v:hlKZ+G8v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84142:4GkNAkYBopUAaHuADE4B4EQakyA4WEiFWBheERSHkAA0IJhqCTWDQAJBkgGAGIEVxXQARDJJA0HDGhyIAiRhANRmAFlcQ8CI

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:c200e7ffc3e7ffdf
Perceptual Hash:f367992238cfb222
Difference Hash:0e4e0c200e0e0810
Wavelet Hash:000020fec3e7ffde
Color Hash:#87abc5

Other Hashes

Crop Resistant:0e4e0c200e0e0810

Scan History

Scan history not available

Unable to load historical scan data