Security Scan Report: shop.foodlandgrocery.com

Redirected to: https://bookpdf.co/review/4979933-jordan-rodgers.pdf

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Submitted: Oct 25, 2025, 6:21:59 PMCompleted: Oct 25, 2025, 6:22:53 PMpubliccompleted
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Summary

This website contacted 47 IPs in 3 countries across 12 domains to perform 36 HTTP transactions. The main domain is bookpdf.co.

Submitted URL: https://shop.foodlandgrocery.com/index.php/12spwK/423952/jordan_rodgers.pdf

Effective URL: https://bookpdf.co/review/4979933-jordan-rodgers.pdfRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Jordan Rodgers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'shop.foodlandgrocery.com' uses the commercial generic top-level domain (.com) and includes subdomain 'shop'. The second-level label 'foodlandgrocery' is 15 characters long holding 5 vowels versus 10 consonants. Tokenizing the label suggests three words: food, land, grocery. Average segment length settles at 4 characters. The linguistic tilt is English for 'food'. Secondary signals appear in Chinese (Pinyin) and Tagalog.

Screenshot

Security scan screenshot of https://shop.foodlandgrocery.com/index.php/12spwK/423952/jordan_rodgers.pdf

Page Load Overview

16.84s
Total Load Time
36
HTTP Requests
12
Domains
598 KB
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:2,969 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36149.56.240.27Montreal, Quebec, Canada
AS16276OVH SAS
0142.250.184.195United States
AS15169GOOGLE
0104.20.11.41United States
AS13335CLOUDFLARENET
0104.21.34.95United States
AS13335CLOUDFLARENET
0149.56.240.31Montreal, Quebec, Canada
AS16276OVH SAS
0216.239.34.36United States
AS15169GOOGLE
0142.250.185.106United States
AS15169GOOGLE
0172.217.18.14United States
AS15169GOOGLE
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0149.56.240.128Montreal, Quebec, Canada
AS16276OVH SAS
3647--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175A2B811AAE5511024528496B431CBCF7B54DA07F31689A57AFC6BA87F85EC7CC233BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mxZbFFFw9mv8UkY/ZOcNq2FFq2FlPWkyUMJwOKMRqV0G9O0c4QvHL//Bp42ihPMw:mxZbFFFw9mv8UkY/ZOcNq2FFq2Flukyy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21508:kDtLgEyABmiMoCEkjkRYiCqGAwIAIhEaCCgJBCEtGUYUEwuEb3MSnAjAk0gRBEAAsFCMoWAYoGh3HgCZBI3QGAErSBmBsIA1

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:30383018383c3838
Perceptual Hash:cfc7c76738383830
Difference Hash:6161697969696161
Wavelet Hash:303831393d3d3d3d
Color Hash:#1f3e93

Scan History

Scan history not available

Unable to load historical scan data