Security Scan Report: www.applitrack.com

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Submitted: Nov 24, 2025, 2:35:38 PMCompleted: Nov 24, 2025, 2:36:43 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 6 domains to perform 99 HTTP transactions. The main domain is applitrack.com and was registered NaN years ago.

Submitted URL: https://www.applitrack.com/jefferson/onlineapp/

The Cisco Umbrella rank of the primary domain is #66,237 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate recruitment site with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential‑collection forms
Domain age information unavailable

Details

Page Title

Jefferson County Public Schools - Frontline Recruitment

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(74%)

Domain Information

The domain 'www.applitrack.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'applitrack' covers 10 characters containing three vowels alongside seven consonants. Splitting it apart reveals three words: app, li, track. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.applitrack.com/jefferson/onlineapp/

Page Load Overview

2.60s
Total Load Time
99
HTTP Requests
6
Domains
144 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:7,776 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
74%
government public service
46%
education learning
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8365.79.190.184United States
AS7381SRS-6-Z-7381
11104.18.29.155United States
AS13335CLOUDFLARENET
854.186.57.55Boardman, Oregon, United States
AS16509AMAZON-02
835.82.201.249Boardman, Oregon, United States
AS16509AMAZON-02
82a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
82a00:1450:4001:82f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
82606:4700::6812:1d9bUnited States
AS13335CLOUDFLARENET
82606:4700::6812:1c9bUnited States
AS13335CLOUDFLARENET
2104.18.28.155United States
AS13335CLOUDFLARENET
1216.58.206.42United States
AS15169GOOGLE
9912--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBA32A8355F8111FA7A3932ABCE36ACED417D98FC299AD85315C899F1F42E8C0E17319

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KBZ9Aa1uEtVS/QqfsUFiA+GBIJAR2eZo3t65D/eb1T4WPTLFf0jPDa3NK7N4naCE:4Rorpxa8W2/7lL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101976:AA1OSVAAwAcBuKsvCgwQYOGfICxLYcil2ICAAMhZJEpEciIgGjwQUgFUYgJSBADAAJWESHsIFAganLKAAAAPgnB3HxwJIEDC

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:00007f80bfffffff
Perceptual Hash:865b50577e7ad086
Difference Hash:01dedd7564d8acb5
Wavelet Hash:00004f80377f7f7f
Color Hash:#78623a

Scan History

Scan history not available

Unable to load historical scan data