Security Scan Report: getutm.app

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Submitted: Dec 28, 2025, 3:30:55 AMCompleted: Dec 28, 2025, 3:31:09 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 29 HTTP transactions. The main domain is getutm.app and was registered NaN years ago.

Submitted URL: https://getutm.app/

The Cisco Umbrella rank of the primary domain is #963,006 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no observable security threats.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

UTM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

The domain 'getutm.app' uses the application-focused generic top-level domain (.app) without a subdomain. The core label 'getutm' covers 6 characters containing two vowels alongside four consonants. Segmentation suggests 2 words: get, utm. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getutm.app/

Page Load Overview

1.92s
Total Load Time
29
HTTP Requests
0
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-us
Text Length:822 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.20.19.3UnknownUnknown
7142.250.186.174UnknownUnknown
1172.67.142.245UnknownUnknown
1142.250.185.74United States
AS15169GOOGLE
04--

Detected Technologies2

JQueryv3.1.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD6273B212E464670183E3D45AA0670F3EDA9827F9118CC877BE47D04FA2EC79C17A65

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GkqNnIEcV5TekyyAoFJLVSc9IPvmCXqZfwFMlY:WNHgTeL+LHR3VlY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14560:MCGqHEUQBwBU0AKASQ1LpQQiMCwCUAgQgAOgIVFJBQDAoFEDAAWNK4lhBXiiQwkZMnQrAQDaAGAAFDmDIA4AqKARAJsS1spJ

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:000020202070ffff
Perceptual Hash:c743b86230bb47c7
Difference Hash:99c1c1c9c1c91038
Wavelet Hash:0000706070ffffff
Color Hash:#d279bf

Scan History

Scan history not available

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