Security Scan Report: geoip.fedoraproject.org

Submitted: Dec 25, 2025, 8:44:00 AMCompleted: Dec 25, 2025, 9:13:31 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 3 countries across 2 domains to perform 4 HTTP transactions. The main domain is geoip.fedoraproject.org and was registered NaN years ago.

Submitted URL: https://geoip.fedoraproject.org

The Cisco Umbrella rank of the primary domain is #15,854 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

government public service

(42%)

Domain Information

The domain 'geoip.fedoraproject.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'geoip'. Its registrable label 'fedoraproject' stretches across 13 characters split between 5 vowels and 8 consonants. Word splitting yields two words: fedora, project. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geoip.fedoraproject.org

Page Load Overview

36.00s
Total Load Time
4
HTTP Requests
2
Domains
957 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:186 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%
documentation technical
40%
technology software
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.141.165.254Frankfurt am Main, Hesse, Germany
AS61317Hivelocity LLC
135.178.204.134City of London, England, United Kingdom
AS16509AMAZON-02
1152.2.23.103Chapel Hill, North Carolina, United States
AS36850UNC-CH
13.70.22.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
44--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13421107BA4EB040A764799883FB9B71D57518087C549AC2C31AD1EE5DFD4D4980A328A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:k0sWwPxMxhIR1CEqqS7c5LSJXEUoYA+PqF27Lm23VjxSzSU:QWuyIVS45LSJXBHP5mA+SU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1415:EAACBCAAAAEAAAAQAAAAACAEAAIBQQAAEAAABAEAYgAAAEAAQAQAACAAAAAAAAwBAAAAAAEAwCAABAgAAAACAAAAIAAAAAAA

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:f8f8f0f0f8f9fdfd
Perceptual Hash:ca56bbaa4a2b2d26
Difference Hash:1101e0e141130909
Wavelet Hash:f0f0703030f8f9f9
Color Hash:#79c5d2

Scan History

Scan history not available

Unable to load historical scan data