Security Scan Report: social-nonogon-127059.framer.app

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Submitted: Oct 11, 2025, 1:42:09 PMCompleted: Oct 11, 2025, 1:42:44 PMpubliccompleted
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Summary

This website contacted 42 IPs in 1 country across 5 domains to perform 29 HTTP transactions. The main domain is social-nonogon-127059.framer.app.

Submitted URL: https://social-nonogon-127059.framer.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Impersonates Telstra on a new, unranked domain – likely phishing.

Risk Factors
Brand impersonation on an unranked, newly registered domain
Use of urgent threat wording to coerce action
Domain does not belong to the legitimate Telstra brand
Absence of any legitimate Telstra contact information
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(63%)

Domain Information

The domain name 'social-nonogon-127059.framer.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'social-nonogon-127059'. The second-level label 'framer' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives 1 word: framer. Average segment length settles at 6 characters. The linguistic tilt is English for 'frame'. Secondary signals appear in Chinese (Pinyin) and French. Overall, 'social-nonogon-127059.framer.app' reads as English with single-word simplicity.

Screenshot

Security scan screenshot of https://social-nonogon-127059.framer.app/

Page Load Overview

5.80s
Total Load Time
29
HTTP Requests
5
Domains
74 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:193 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2918.173.205.72United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
03.174.46.104United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
018.172.112.120United States
AS16509AMAZON-02
03.174.46.21United States
AS16509AMAZON-02
013.226.244.93United States
AS16509AMAZON-02
013.226.244.13United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
2942--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E63BF97615DF164ACD7287EEB2DE42C9D252140FF32C3CBA29E825F45C9AF4229271C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwgxfMeBG8x:KllG8x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72915:YKIgwAKAUg8TAcQ6ikENQbTBCAkWIRgAQvRSmEpAgVYF1FFAhjUNIdQBBGkEttyCS+KEQuKCMACMBYIFUCE/NgIO3BCCEiJo

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:ffe7ffe7e7fffffe
Perceptual Hash:f733cc88768ccc2c
Difference Hash:080a004c4c000c00
Wavelet Hash:26262424263e3e3e
Color Hash:#5dbf40

Other Hashes

Crop Resistant:080a004c4c000c00

Scan History

Scan history not available

Unable to load historical scan data