Security Scan Report: tracking-app.diginetica.net

Submitted: Mar 6, 2026, 4:03:38 PMCompleted: Mar 6, 2026, 4:05:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is tracking-app.diginetica.net and was registered NaN years ago.

Submitted URL: https://tracking-app.diginetica.net

The Cisco Umbrella rank of the primary domain is #86,565 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

documentation technical

(38%)

Domain Information

The domain 'tracking-app.diginetica.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'tracking-app'. The core label 'diginetica' covers 10 characters with five vowels and five consonants. Splitting it apart reveals four words: dig, in, e, tica. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tracking-app.diginetica.net

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
Text Length:201 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
38%
technology software
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
246.243.227.98Russia
AS208677Cloud.ru
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BD0EBF6472243C40C4E19C21EB200AA0E14A3B922B34B8034C884FAEA880488F3A8C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96QUsPVCJecN+GF6yoHyMQKf1g6vaGsy9nEcxFLD2LVOa:kxPQ/v0+GFOdvdqsFLD2LVOa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0e889ce4115bb8a7c48e3ea6d6703d6e

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:1f3fffffffffffff
Perceptual Hash:87070707070f0fff
Difference Hash:e0c0000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#2d863c

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

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