Security Scan Report: optusnet.framer.ai

Submitted: Completed: publiccompleted
This website contacted 30 IPs in 1 country across 4 domains to perform 27 HTTP transactions. The main domain is framer.ai and was registered 8 years ago.

Submitted URL: https://optusnet.framer.ai/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Sign in : Webmail

Scan Type

public

Domain Name Analysis

Within the Anguillan country-code top-level domain (.ai), 'optusnet.framer.ai' is registered, featuring subdomain 'optusnet'. Its registrable label 'framer' stretches across 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives one word: framer. Median word length is six characters. Most frequently, 'frame' shows up in English. It also appears in Chinese (Pinyin) and French contexts. Taken together, it feels English with single-word simplicity.

Screenshot

OPTUS Personal Business _—Enterprise @Customer Service Wart | Your OptusNet email is getting a new look As we look to continually invest in the services we provide, we are in the process of upgradin...

Page Load Overview

27.69s
Total Load Time
510 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:146 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
59%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2713.226.244.8United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
013.226.244.6United States
AS16509AMAZON-02
013.226.244.91United States
AS16509AMAZON-02
02600:9000:2724:9400:d:ada1:a280:93a1United States
AS16509AMAZON-02
2730--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1930F93615DF064ACD7693EEB5DE52C9D252140FF32C3CBA29E821F45C9AF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwGZ1S4fBG8D:Hlk4ZG8D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91612:CwCkBAeXIo6CAMmAQ0AEcEiC0BggCQ4ESqHEECd28V8BkYAUimnBQBEiAIa1C1AXZhQ8EwaYYBAgWEEGLkEcBQLAAIvACKBq

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:82e3c7c7ffe7e7fe
Perceptual Hash:f33c4ccccc3334cc
Difference Hash:1e0a0e0c100c0c18
Wavelet Hash:0082c6c6eee6e6ee
Color Hash:N/A

Other Hashes

Crop Resistant:1e0a0e0c100c0c18

Scan History

Scan history not available

Unable to load historical scan data