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Security Scan Report: blessed-subtasks-349062.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/d815c389-dd6f-4f53-b8e3-cd80d99a28d1Domain and IP registration (RDAP)/api/v1/rdap/d815c389-dd6f-4f53-b8e3-cd80d99a28d1How often this domain was scanned/api/v1/domain/stats/blessed-subtasks-349062.framer.appScan history for this domain/api/v1/domain/history/blessed-subtasks-349062.framer.app?limit=15
This website contacted 23 IPs in 2 countries across 8 domains to perform 378 HTTP transactions. The main domain is framer.app and was registered 6 years ago.

Submitted URL: https://blessed-subtasks-349062.framer.app/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Telstra webmail login hosted on a framer.app subdomain, using Telstra branding to harvest email passwords; no affiliation with Telstra.

Risk Factors (4)
Brand impersonation of Telstra on a non-Telstra domain
Credential-harvesting login form (password field) on a free hosting subdomain
Deceptive use of an email-provider login layout to capture mailbox credentials
Unranked host with no legitimate relationship to the impersonated brand
Domain age information unavailable

Details

Page Title

Sign in with your Telstra ID

Scan Type

public

Domain Name Analysis

The domain name 'blessed-subtasks-349062.framer.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'blessed-subtasks-349062'. The registrable portion 'framer' spans 6 characters containing 2 vowels alongside 4 consonants. Word splitting yields one word: framer. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://blessed-subtasks-349062.framer.app/

Page Load Overview

0.66s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:351 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
32%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2631.43.160.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
1618.64.211.45Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1665.9.130.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1665.8.131.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1631.43.161.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
1618.64.211.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.93Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
37823--

Detected Technologies7

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Framer Sites
80%
React
50%
HTTP/3
40%
HSTS
40%
Bootstrap
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F9A321936119F064ACD7297EE75DE12C9C252140FF32C38BA2AE865F41CDAF42352B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eobBVxVPL3ItieSlkXesVkJVlat9VyalVbVe9V4wqP0HhsvW1hafFgE/BG1z:bWD8Bs6afFgE5G1z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102702:RAAAEscAIAEAtCSlDAxIBBgnZQIQMQB8UIoSGFMCAwVKwtAGJgCcETgmgVsBREEKWIEAUWoQIaAAISe+gUZSIShA2hkIoAQw

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:ffe7effee6e7dbff
Perceptual Hash:b3998c66cccc269d
Difference Hash:e04849184c4d320c
Wavelet Hash:7f63c9c8c8c100ef
Color Hash:N/A

Other Hashes

Crop Resistant:e04849184c4d320c

Scan History

Scan history not available

Unable to load historical scan data