Security Scan Report: svn.osgeo.org

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Submitted: Feb 13, 2026, 4:13:01 PMCompleted: Feb 13, 2026, 4:14:37 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is svn.osgeo.org and was registered NaN years ago.

Submitted URL: https://svn.osgeo.org

The Cisco Umbrella rank of the primary domain is #128,520 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
No credential or payment collection forms present
Low ranking mitigated by extensive domain age
Domain age information unavailable

Details

Page Title

svn.osgeo.org

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

technology software

(77%)

Domain Information

The domain 'svn.osgeo.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'svn'. The registrable portion 'osgeo' spans 5 characters split between three vowels and 2 consonants. It segments into 2 words: os, geo. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://svn.osgeo.org

Page Load Overview

2.95s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
Text Length:434 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2140.211.15.30Corvallis, Oregon, United States
AS3701University of Oregon
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ffQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldi:ghoC9JSqzzbs6o3Sj3gcrsA2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184456:QAEASMEmCFkkogRUMshBBIQIxkAgYOcAEhQAJdgG7MMIiGlLyKDkREXB0i1JIPALBiMhDAiBKJCAANSCDEAyTAAZiGCQgQgJ

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:fcdcc0c8f0f0f0f0
Color Hash:#9bd22d

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data