ScanMalware.com

Security Scan Report: efollett.com

Redirected to:
https://www.bkstr.com/efollettstore/home
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Submitted: Jul 15, 2026, 6:02:14 AMCompleted: Jul 15, 2026, 6:03:35 AMpubliccompleted

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is bkstr.com and was registered NaN years ago.

Submitted URL: https://efollett.com

Effective URL: https://www.bkstr.com/efollettstore/homeRedirected

The Cisco Umbrella rank of the primary domain is #119,682 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows heavy JavaScript obfuscation but lacks forms or known malicious indicators; treat as moderate risk.

Risk Factors
High JavaScript obfuscation (critical score)
Use of eval() for dynamic code execution
Safety Factors
Domain age >30 years
No forms collecting credentials or payment data
No threat‑intel or IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by perimeterx bot protection. Our scanner was challenged or blocked during access.

Page Title

Official Online Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(95%)

Domain Information

The domain 'efollett.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'efollett' covers 8 characters holding three vowels versus 5 consonants. Segmentation suggests two words: e, follett. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://efollett.com

Page Load Overview

1.97s
Total Load Time
55
HTTP Requests
21
Domains
3.0 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:79 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping95% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
95%
news media journalism
41%
healthcare medical
40%
government public service
29%
real estate property
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.251.20.95Google · CDNUnited States
AS15169Google LLC
11142.251.154.119Google · CDNUnited States
AS15169Google LLC
1123.36.162.208Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
112.16.10.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1123.210.119.140Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
555--

Page Statistics

55
Requests
21
Unique Domains
2.7 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C03097513F48768E483039EDB36307D252F92FBA6C544A4766C49605F42CEED42FAE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QYy3xjFRovxTmfyn7K97i6M+/tUQ40OKIWuw:uF+mfy7GMa4DBWuw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39458:fApCAgECVA4aAAkNjiHHBCKBGywWUTSkgExDlDbjEwERAgyFAEIEYoABG0BGjCh4gligEIVfSPMXhiYDlKwQsIASGhTFIgkA

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:181c180000000000
Perceptual Hash:999999c966666666
Difference Hash:3333328c20000000
Wavelet Hash:183818470f0f0f0f
Color Hash:#65783a

Other Hashes

Crop Resistant:a880aea6beacaaa2,3333328c20000000

Scan History

Scan history not available

Unable to load historical scan data