ScanMalware.com

Security Scan Report: reader.follettshelf.com

Submitted: Jul 30, 2026, 5:41:46 AMCompleted: Jul 30, 2026, 5:43:42 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is reader.follettshelf.com and was registered 15 years ago.

Submitted URL: https://reader.follettshelf.com

The Cisco Umbrella rank of the primary domain is #143,617 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Error

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'reader.follettshelf.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'reader'. The second-level label 'follettshelf' is 12 characters long split between 3 vowels and 9 consonants. Breaking it apart gives 2 words: follett, shelf. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of reader.follettshelf.com

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:21 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.179.234.255Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
21--

Page Statistics

2
Requests
1
Unique Domains
0.3 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFA002FD9166614EDF2035919EC133C019CE4353B0EA99212D88B56EE585179CE8239A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxgROEHKERCXbZ6q7FIsRFF0D:qzxUU4CX96aIwFF8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:bb360e3bd146832dfcc20ba9e597a4cf

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:7fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#2dd29b

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data