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Security Scan Report: lorikeetcx.ai

Redirected to:
https://www.lorikeetcx.ai/
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Submitted: Jul 9, 2026, 7:29:38 PMCompleted: Jul 9, 2026, 7:31:31 PMpubliccompleted
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Summary

This website contacted 76 IPs in 4 countries across 60 domains to perform 801 HTTP transactions. The main domain is lorikeetcx.ai and was registered NaN years ago.

Submitted URL: https://lorikeetcx.ai

Effective URL: https://www.lorikeetcx.ai/Redirected

The Cisco Umbrella rank of the primary domain is #430,669 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows self‑branding, no credential collection, and no malicious indicators; however, high JS obfuscation and low ranking suggest moderate risk.

Risk Factors
Critical JavaScript obfuscation score
Low domain ranking for a brand‑named site
Safety Factors
Established domain age
No forms collecting credentials or payments
No network IDS or threat‑intel alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Lorikeet | AI Customer Concierge for Complex Support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(52%)

Domain Information

The domain 'lorikeetcx.ai' uses the Anguillan country-code top-level domain (.ai) with no subdomain. Count 10 characters in 'lorikeetcx' split between 4 vowels and 6 consonants. It segments into 2 words: lorikeet, cx. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lorikeetcx.ai

Page Load Overview

15.91s
Total Load Time
801
HTTP Requests
60
Domains
12.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:9,093 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical52% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
52%
documentation technical
48%
technology software
33%
finance banking
28%
government public service
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5134.248.0.172Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
10142.251.157.119Google · CDNUnited States
AS15169Google LLC
1013.226.244.12Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
10104.18.11.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1018.64.211.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
103.161.75.48Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1013.226.244.66Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
10142.251.13.207Google · CDNUnited States
AS15169Google LLC
10104.18.10.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
103.174.46.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
80176--

Detected Technologies7

MetaGenerator
100%
Google-AnalyticsvUniversal
100%
React
50%
HTTP/3
40%
HSTS
40%
Framer Sites
40%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0B4D573A254D93A08C753DCF3A0964C314AD31AEF32889AA3E465BF67CACE455507EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:hdqje6bPffjGXnAMbbvHL9Q15/XbQ15/XbQ1ZUB:x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500343:KsAQWAAJoAIPAYAUQUVBBgSywiM0hjADCfKjsAyBGAQIuEz9igACLKKQIwhzLIRjIYCkrDAlYVGkIRQBUkAFhgKCKAYQorwQ

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:ffffffffff818181
Perceptual Hash:e996296f92632d92
Difference Hash:1216960c2b331b33
Wavelet Hash:fbc3c3c7e7818181
Color Hash:#783a4a

Other Hashes

Crop Resistant:1216960c2b331b33,7870381b7be0bc5e,dbdbd9b8e4e0c183,d3d9995b59d9b939

Scan History

Scan history not available

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