ScanMalware.com

Security Scan Report: teacherlists.com

Redirected to:
https://www.teacherlists.com/
Submitted: Apr 12, 2026, 6:18:27 AMCompleted: Apr 12, 2026, 6:19:56 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 19 domains to perform 1 HTTP transaction. The main domain is teacherlists.com and was registered NaN years ago.

Submitted URL: https://teacherlists.com

Effective URL: https://www.teacherlists.com/Redirected

The Cisco Umbrella rank of the primary domain is #336,178 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site is an established, informational page with no malicious indicators; it is considered legitimate.

Safety Factors
Long‑standing domain registration
Absence of credential or payment collection
No malicious network or IDS alerts
Brand name matches domain (TeacherLists) and is not a known high‑value brand
Content classified as article/news rather than phishing
Domain age information unavailable

Details

Page Title

TeacherLists Back-to-School Supply List 2026-2027 for Grades K-12 | TeacherLists

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

e-commerce shopping

(44%)

Domain Information

The domain name 'teacherlists.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 12 characters in 'teacherlists' with 4 vowels and eight consonants. Splitting it apart reveals two words: teacher, lists. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teacherlists.com

Page Load Overview

5.18s
Total Load Time
145
HTTP Requests
45
Domains
4.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:3,866 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping44% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
44%
education learning
42%
corporate
35%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1735.241.15.240Kansas City, Missouri, United States
AS396982Google LLC
82.16.168.220United States
AS54113
852.222.214.27United States
AS32934
8151.101.194.137United States
AS20940
8157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8142.251.127.136United States
AS396982
8172.67.142.245United States
AS13335
8157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8192.178.183.156United StatesUnknown
8192.178.183.94United States
AS15169Google LLC
14517--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DA3F7B76AEB10162953A05D7F7B370C266AD017D20ACCE47EED528C4FC96D94CA278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:giddRVB9WvRbcGwkKn5Epo875AwxkRY0J79MI1G9AydRLvxkdPZ:gU2bcGwkKnYoM5Aw+RYi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100626:gASGYLgAWN0JYkFNyIgBkQIg8IiCK0SFrkTmAAggNMAKNboBAANDDAIu7CgASwAOARhAhUBrAkFRDIAwAbAQA4SDkADRCyIF

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:ffc3c3c1d1f3ffff
Perceptual Hash:ec3993c64c9b3d24
Difference Hash:260e022327470806
Wavelet Hash:ffc3830000c1e7ff
Color Hash:#aca953

Other Hashes

Crop Resistant:260e022327470806,41a08fd4fce88251,018251aaaa880009,0120466969600411,78302020144045e1,733b3a266643574e

Scan History

Scan history not available

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