Security Scan Report: openembedded.org

Redirected to: https://www.openembedded.org/wiki/Main_Page

Submitted: Dec 23, 2025, 9:34:54 PMCompleted: Dec 23, 2025, 9:35:13 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 4 domains to perform 15 HTTP transactions. The main domain is openembedded.org and was registered NaN years ago.

Submitted URL: https://openembedded.org

Effective URL: https://www.openembedded.org/wiki/Main_PageRedirected

The Cisco Umbrella rank of the primary domain is #280,727 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain
No sensitive data collection
No known malicious Indicators of Compromise
Low likelihood of brand impersonation
Domain age information unavailable

Details

Page Title

Openembedded.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'openembedded.org' uses the non-profit oriented generic top-level domain (.org). Its registrable label 'openembedded' stretches across 12 characters with 5 vowels and seven consonants. Word splitting yields 2 words: open, embedded. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://openembedded.org

Page Load Overview

2.94s
Total Load Time
15
HTTP Requests
4
Domains
13 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:2,135 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
55%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.5.134United States
AS13335CLOUDFLARENET
795.216.154.191Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
152--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EA2C72219DAAA3F47734299BD54BB1DB5F790C6E362088172AD47180FC3C806F9766F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:S4/pmm4L/1P4tXevaKJMR5bM0JZL4w9RhpVHr6RlaJI+HL://pmmI4tOvQbTV6RsHL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21801:ggAGNBgiQBS1UARRCEAeghV8oRwALgAEAxA0yLB6VATE8UAAJIAgopMJwqaxSQJYgdijTUQkeAxTCChUcIBAYqGAYlCKNAQl

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:7e001d0f3777ff3f
Perceptual Hash:8c1895c4c5d35bcf
Difference Hash:e03e797be4c24460
Wavelet Hash:7e001c2f3710bf1f
Color Hash:#783a67

Other Hashes

Crop Resistant:e03e797be4c24460

Scan History

Scan history not available

Unable to load historical scan data