Security Scan Report: track.getgist.com

Submitted: Jan 20, 2026, 9:03:05 AMCompleted: Jan 20, 2026, 9:04:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is track.getgist.com and was registered NaN years ago.

Submitted URL: https://track.getgist.com

The Cisco Umbrella rank of the primary domain is #142,481 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No forms or data collection
404 response indicates no malicious content
Domain age information unavailable

Details

Page Title

track.getgist.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(45%)

Domain Information

Within the commercial generic top-level domain (.com), 'track.getgist.com' is registered and includes subdomain 'track'. Count 7 characters in 'getgist' holding two vowels versus five consonants. Breaking it apart gives 2 words: get, gist. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://track.getgist.com

Page Load Overview

0.13s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:220 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism45% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
45%
technology software
40%
government public service
39%
adult content
39%
cryptocurrency blockchain
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1167.235.218.174Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
11--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8048F77329A063D86558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8OldE:ThoC9JSqzzbs6o3Sj3gcrss2eAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184603:BWuCwA4CCeAM6gpCoQahQJiREVg3wEZBRGcUICODahlgAhAIVAAwyTJmAAAAeeQbgAEhJgCgCEaABIcfBILAmdYBgBCNUoMw

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:ffc7c7c3f3ffffff
Perceptual Hash:b1319acecc713333
Difference Hash:001c1c1606000000
Wavelet Hash:f0d0c0c0030f0f0f
Color Hash:#4090bf

Other Hashes

Crop Resistant:001c1c1606000000

Scan History

Scan history not available

Unable to load historical scan data