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Security Scan Report: focused-yard-741894.framer.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/18b885e6-6fe9-4de1-a0b2-e54c93843192Domain and IP registration (RDAP)/api/v1/rdap/18b885e6-6fe9-4de1-a0b2-e54c93843192How often this domain was scanned/api/v1/domain/stats/focused-yard-741894.framer.appScan history for this domain/api/v1/domain/history/focused-yard-741894.framer.app?limit=15
This website contacted 18 IPs in 1 country across 3 domains to perform 21 HTTP transactions. The main domain is framer.app and was registered 6 years ago.

Submitted URL: https://focused-yard-741894.framer.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Phishing site impersonating Telstra; high risk of credential theft.

Risk Factors (3)
Credential harvesting form on an untrusted, unranked domain
Brand impersonation of Telstra on a non‑official domain
Unranked domain lacking reputable ranking
Domain age information unavailable

Details

Page Title

Sign in with your Telstra ID

Scan Type

public

Domain Name Analysis

The domain name 'focused-yard-741894.framer.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'focused-yard-741894'. Count 6 characters in 'framer' split between 2 vowels and four consonants. Word splitting yields one word: framer. The linguistic tilt is English for 'frame'. You may catch it in Chinese (Pinyin) and French as well. Overall, 'focused-yard-741894.framer.app' reads as English with single-word simplicity.

Screenshot

Sign in to Telstra webmail Sign in with your Telstra email address Telstra email Example: john@bigpand.com | Passvvord | Remember Telstra email OR C Sign in to MyTelstra © Made InFramer

Page Load Overview

9.81s
Total Load Time
371 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Text Length:177 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service25% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
452.223.52.2United States
AS16509AMAZON-02
118.173.205.72United States
AS16509AMAZON-02
113.226.244.91United States
AS16509AMAZON-02
118.173.205.84United States
AS16509AMAZON-02
118.173.205.66United States
AS16509AMAZON-02
113.226.244.13United States
AS16509AMAZON-02
118.173.205.73United States
AS16509AMAZON-02
113.226.244.72United States
AS16509AMAZON-02
12600:9000:2724:a800:d:ada1:a280:93a1United States
AS16509AMAZON-02
135.71.142.77United States
AS16509AMAZON-02
2118--

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

T1DB932EA7621DF1649CE7593EFB5DE0296D152000FF72C2A3A29E065F44CE9F82352B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sj1bXz2Of2Mf2M0A2UwjmAf2+QKf2Dpf2fzQPf2wGpLfAQlMnc+iiXoUN40R+kiF:oj2GILIQlMnc+iiXXJXnH/8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95199:DYRWIUGyQwhsDJxgzBhAUdIMQQmIqCFkkggLIoICFOAtBAEESbggBYAADl4igzDKc0roKNQAxRMIrWCCZYcUmBg4xQiygAKg

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:efc7efefe7e7fffe
Perceptual Hash:f333cc3332cccc23
Difference Hash:885818084c080000
Wavelet Hash:7cc4c4c406263e3e
Color Hash:N/A

Other Hashes

Crop Resistant:885818084c080000

Scan History

Scan history not available

Unable to load historical scan data