Security Scan Report: crickster.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 99 IPs in 4 countries across 73 domains to perform 428 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://crickster.pages.dev/blog/diy-cricket-flour

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Real-looking Crickster blog article on pages.dev about making cricket flour; no credential/payment harvesting or malware signals, only an email newsletter and redirect noise.

Risk Factors (1)
Excessive redirect chain observed (17 redirects, 4 cross-domain), adding minor risk noise but not indicating phishing on its own
Safety Factors (5)
Self-branding matches the domain; no brand impersonation detected
Article content with normal blog structure, headings, sources, and navigation
No credential-harvesting or payment form; verified form facts show 0 password fields and 0 payment fields
No Indicators of Compromise, hunting rule malware patterns, or Safe Browsing threat reports
Suricata alerts are INFO-level obfuscator heuristics and are informational only
Domain age information unavailable

Details

Page Title

How to make DIY Cricket Flour — the Easy way | Crickster

Scan Type

public

Domain Name Analysis

Domain 'crickster.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'crickster'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Segmentation suggests one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

CRICKSTER™ Blog Books Our Story _—Contact How to make DIY Cricket Flour In this step-by-step guide, I'm going to show you the easiest way to make your own homemade cricket flour. ® Erica eller — Es...

Page Load Overview

1.14s
Total Load Time
8.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:12,579 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36172.66.46.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
4142.251.20.94Google · CDNUnited States
AS15169Google LLC
413.226.244.4Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4146.75.121.54Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
454.192.35.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4192.200.160.12United States
AS399566Bigcommerce Inc.
4142.251.155.4Google · CDNUnited States
AS15169Google LLC
4143.204.181.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42899--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F744B332640324865179D75772F768AF225C42BF10306EEE4A59C6ACBCB7819BF267C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SWuVFviTD+RgOyWG0WRmBgj3BPC/Fw4KGMiUrGYVnhoBLRZk:SjL+0WRmBgj3BPC9w4bMifbBjk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:360705:GGywkAg4FEARlejgCABUAUDKgF+RoRiKoqKRQAJKWGESoFE6ABAGYgClqMw1NgMAwgQhBERE2DDZYKAxcACAIjJZwhUAIAKI

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:bfff8f8f9f010000
Perceptual Hash:be9543c49c3e3b90
Difference Hash:22c0383828412d4d
Wavelet Hash:bfff8f8fbf000000
Color Hash:N/A

Other Hashes

Crop Resistant:22c0383828412d4d

Scan History

Scan history not available

Unable to load historical scan data