Security Scan Report: gtm-sst-se.mathem.se

Submitted: Nov 27, 2025, 2:42:09 AMCompleted: Nov 27, 2025, 2:44:13 AMpubliccompleted
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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 gtm-sst-se.mathem.se and was registered NaN years ago.

Submitted URL: https://gtm-sst-se.mathem.se/

The Cisco Umbrella rank of the primary domain is #808,340 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no malicious indicators.

Safety Factors
Long-established domain (registered 2005)
No suspicious content or phishing indicators
Domain age information unavailable

Details

Page Title

gtm-sst-se.mathem.se

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(56%)

Domain Information

Domain 'gtm-sst-se.mathem.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'gtm-sst-se'. The registrable portion 'mathem' spans 6 characters containing 2 vowels alongside four consonants. Breaking it apart gives two words: ma, them. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gtm-sst-se.mathem.se/

Page Load Overview

0.16s
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:166 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
government public service
55%
real estate property
47%
healthcare medical
45%
news media journalism
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
134.91.83.136Groningen, Groningen, Netherlands
AS396982GOOGLE-CLOUD-PLATFORM
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2047F77329A063D86554498E05743099F30B143B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz72bMy8OldJ:ChoC9J395CbZgLtSL3gcrsH2eAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183541:MwkAkqpCiCIXGAA5Lq2iPCKoIBAvyQjAAFUYRG0AgwEQGRMMgJMDS4JkBQARUABIEeMlAscxAWQSACRVgVClDDGAenhQRHlG

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:7f7f0f07fffffcfc
Perceptual Hash:92a952e5563f3a58
Difference Hash:c0c05c4c80000004
Wavelet Hash:7f7f0f0700000300
Color Hash:#b36ce0

Other Hashes

Crop Resistant:c0c05c4c80000004

Scan History

Scan history not available

Unable to load historical scan data