Security Scan Report: engageinlearning.com

Redirected to:
https://www.kallidus.com/
Site favicon
Submitted: Aug 25, 2026, 10:56:08 PMCompleted: Aug 25, 2026, 10:57:12 PMpubliccompleted

Summary

This website contacted 12 IPs in 3 countries across 63 domains to perform 2 HTTP transactions. The main domain is kallidus.com and was registered 30 years ago.

Submitted URL: https://engageinlearning.com

Effective URL: https://www.kallidus.com/Redirected

The Cisco Umbrella rank of the primary domain is #610,853 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows brand Kallidus on a mismatched domain but lacks credential or payment collection and has no malicious indicators; low risk.

Risk Factors
Brand impersonation without credential collection
Low Cisco Umbrella ranking (610 853) for a brand‑named site
Safety Factors
No credential or payment forms
No malicious IoC or YARA detections
Cross‑origin form submissions go to reputable HubSpot endpoint
Old, well‑established domain
Domain age information unavailable

Details

Page Title

Easy learning management system | Simplify compliance

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

The domain name 'engageinlearning.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'engageinlearning' covers 16 characters containing 7 vowels alongside 9 consonants. Word splitting yields three words: engage, in, learning. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of ad.doubleclick.net

Page Load Overview

5.50s
Total Load Time
384
HTTP Requests
63
Domains
4.9 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-GB
Text Length:44,965 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
58%
documentation technical
41%
technology software
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
322.20.143.113Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32141.193.213.11United States
AS209242Cloudflare London, LLC
32188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3223.32.238.210Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3234.111.73.67Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3234.107.218.251Google · CDNKansas City, Missouri, United States
AS396982Google LLC
324.158.108.63Azure · CLOUDLondon, England, United Kingdom
AS8075Microsoft Corporation
32141.193.213.20United States
AS209242Cloudflare London, LLC
32104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
38412--

Page Statistics

384
Requests
61
Unique Domains
16.5 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFC1C7DBB8DC6479135300F7087FAA3EF63D0E414C14C49489A7EE99E918BDA21036AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:RPOH3cQWqDPUNtOmilq20XddcOiDnET8DzXiEOMvwtIJut1rStqLKWarmvPEtL:5EVHUtpiT0IOiDnET8vXJvxEQqL5aKIL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5880:CwgoAMgQSYhRAUAOCEhiShIKuBiiTgEAYAmJlGFAEgmISBQQGQDICIGAQC4gBIgBSBiAQCgfKjQSUgAAAZpQkwOAFEGQwRQs

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:000080e00000ffff
Perceptual Hash:e2649c1df2303cde
Difference Hash:86c307854f5f5961
Wavelet Hash:00e0e0e1c10bffff
Color Hash:#2dd232

Scan History

Scan history not available

Unable to load historical scan data