Security Scan Report: online-cdn.studiesweekly.com

Redirected to: https://online.studiesweekly.com/login

Submitted: Mar 21, 2026, 6:41:59 PMCompleted: Mar 21, 2026, 6:43:31 PMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 19 domains to perform 1 HTTP transaction. The main domain is online.studiesweekly.com and was registered NaN years ago.

Submitted URL: https://online-cdn.studiesweekly.com

Effective URL: https://online.studiesweekly.com/loginRedirected

The Cisco Umbrella rank of the primary domain is #47,258 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate login page for Studies Weekly; no security concerns detected.

Safety Factors
Established domain with long registration history
Standard login form with email and password fields
Cross‑origin submission limited to same parent domain
No obfuscation‑related malicious behavior detected
No network IDS alerts or credential exfiltration
Domain age information unavailable

Details

Page Title

Log In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(47%)

Domain Information

The domain name 'online-cdn.studiesweekly.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'online-cdn'. The core label 'studiesweekly' covers 13 characters holding 5 vowels versus eight consonants. Splitting it apart reveals two words: studies, weekly. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://online-cdn.studiesweekly.com

Page Load Overview

5.05s
Total Load Time
51
HTTP Requests
20
Domains
2.3 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
Text Length:234 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning47% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
47%
technology software
35%
documentation technical
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15142.250.187.234United States
AS15169Google LLC
2184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.141.67United States
AS15169Google LLC
265.8.131.44United States
AS16509Amazon.com, Inc.
2184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.16.175.226United States
AS13335Cloudflare, Inc.
234.36.213.229Kansas City, Missouri, United States
AS396982Google LLC
2142.251.36.106United States
AS15169Google LLC
2142.251.143.99United States
AS15169Google LLC
2162.159.138.60United States
AS13335Cloudflare, Inc.
5119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B4583E3F2C510466533C63F9080F7BC7A3E539A9B51ADB6A205BB3447853DF2B5221A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:vI+gwNsIu5XPk8pZewh1nAukdDO3Xyr5Ir5eP0dTDjRlQaclV:2A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1261290:FyCGLKKBTFHMAw2A4j7iRQhECqTKgKM4DBQwC6AMUpMhgERFCQwIWgBIEKYMC0JQCSOQxGAhVypgnFN0A4GgmAYIAPV90gGU

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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