Security Scan Report: adorable-pitch-323930.framer.app

Submitted: Oct 11, 2025, 1:38:17 PMCompleted: Oct 11, 2025, 1:39:02 PMpubliccompleted
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Summary

This website contacted 30 IPs in 1 country across 4 domains to perform 23 HTTP transactions. The main domain is adorable-pitch-323930.framer.app and was registered NaN years ago.

Submitted URL: https://adorable-pitch-323930.framer.app/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Telstra login; do not enter credentials.

Risk Factors
Credential harvesting form (email + password) on a suspicious domain
Impersonation of Telstra brand on an unrelated Framer subdomain
Unranked domain presenting a well‑known brand
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(41%)

Domain Information

Within the application-focused generic top-level domain (.app), 'adorable-pitch-323930.framer.app' is registered with subdomain 'adorable-pitch-323930'. The registrable portion 'framer' spans 6 characters holding two vowels versus four consonants. Word splitting yields one word: framer. Expect 6 characters per word on average. The linguistic tilt is English for 'frame'. You will also see it in Chinese (Pinyin) and French contexts.

Screenshot

Security scan screenshot of https://adorable-pitch-323930.framer.app/

Page Load Overview

19.37s
Total Load Time
23
HTTP Requests
4
Domains
128 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:280 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
41%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2318.173.205.66United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
013.226.244.13United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
018.172.112.119United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
02600:9000:2761:1000:10:9b9d:b9c0:93a1United States
AS16509AMAZON-02
018.172.112.42United States
AS16509AMAZON-02
2330--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B093EC97615DF174ACE7593EEB9CE1286D252000FF72C3A7A29E021F45CDAF42252B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:O4SXz2Of2Mf2q0A2GwjbAf2YQKf25pf2q+QPf2dUpLf154zc4cVcJ/zqBk40R+0e:qJkGILt5e/zqBoh8p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91126:EOJEEZDihjFoiOFBiSAjSiJUgEgAhYzgABAbDCWBYMZYKAKlUROgBQQpFF8E1mm5pv0ZI1ggWyDEjAZARAXj0hDDkxJBQrzE

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:ff08181824180000
Perceptual Hash:d1998966e6cccca6
Difference Hash:a05a32324c300800
Wavelet Hash:ffeef8f820303030
Color Hash:#b787c5

Other Hashes

Crop Resistant:a05a32324c300800

Scan History

Scan history not available

Unable to load historical scan data