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Security Scan Report: segm.org

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Submitted: Oct 2, 2025, 3:27:10 PMCompleted: Oct 2, 2025, 3:28:11 PMpubliccompleted
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Summary

This website contacted 36 IPs in 1 country across 12 domains to perform 82 HTTP transactions. The main domain is segm.org and was registered NaN years ago.

Submitted URL: https://segm.org/SEGM-Berlin-Conference-Support-%C3%84rztekammer%20Mecklenburg-Vorpommern

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

The page appears legitimate with minimal risk; no malicious activity detected.

Risk Factors
Domain is UNRANKED in Cisco Umbrella (not in top 1 M), which can indicate low visibility
Niche organization may be less known to the general public
Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential‑collecting or payment forms
Consistent, verifiable organizational information
Domain age information unavailable

Details

Page Title

German Support for SEGM's 2025 Berlin Conference | SEGM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'segm.org' on the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion 'segm' spans 4 characters with one vowel and 3 consonants. It segments into 2 words: seg, m. Median word length is two characters. 'sega' most strongly signals Catalan. You may catch it in Norwegian and Dutch as well.

Screenshot

Security scan screenshot of https://segm.org/SEGM-Berlin-Conference-Support-%C3%84rztekammer%20Mecklenburg-Vorpommern

Page Load Overview

13.21s
Total Load Time
82
HTTP Requests
12
Domains
629 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:2,824 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.21.63.199United States
AS13335CLOUDFLARENET
2172.66.174.217United States
AS13335CLOUDFLARENET
2104.16.175.226United States
AS13335CLOUDFLARENET
2172.67.150.11United States
AS13335CLOUDFLARENET
2151.101.130.137San Francisco, California, United States
AS54113FASTLY
2104.18.11.207United States
AS13335CLOUDFLARENET
2142.250.186.131United States
AS15169GOOGLE
2142.250.185.78United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
8236--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B24A680EB75066D82432E3C2613C615B3A184A1F98A27DA7777778871F7731A13F29B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3hCT8CATOfUSdMILsF/FjhK8SVTf61KQsH1sRStEMiZtj5xwmwzeqq:elB8G1sbMiZtj5xh0eqq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:218852:BJQBYACpApqn0wINgUFqOBOQyBkAARnAUAhAQ5EYkJihBGJESEjCTIaYTwxuOiBMpFiVRAXQQghoA9IA0hEWx6QQHgKD0HGm

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:ffffffffffff0000
Perceptual Hash:bcb442ed3c9cb843
Difference Hash:2a2a3c3e0636e1c1
Wavelet Hash:97ffc79fc3c30000
Color Hash:#ad79d2

Other Hashes

Crop Resistant:2a2a3c3e0636e1c1,02c4c8c1162a2a16

Scan History

Scan history not available

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