Security Scan Report: iuoelocal793.org

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Submitted: Jul 1, 2026, 1:27:59 PMCompleted: Jul 1, 2026, 1:29:36 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 10 domains to perform 2 HTTP transactions. The main domain is iuoelocal793.org and was registered NaN years ago.

Submitted URL: https://iuoelocal793.org/happy-canada-day/

AI Security Verdict

Low Risk

Confidence: 65%

3
Risk Score

Site appears legitimate with no credential collection; minor JavaScript obfuscation noted.

Risk Factors
High JavaScript obfuscation score (excessive concatenation, base64 encoding, high entropy)
Safety Factors
Well‑established domain (>10,000 days old)
Self‑branding – not impersonating another brand
Absence of credential or payment collection forms
No threat‑intel matches or malware detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Happy Canada Day! – IUOE Local 793

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(63%)

Domain Information

The domain name 'iuoelocal793.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. Its registrable label 'iuoelocal793' stretches across 12 characters containing 6 vowels alongside 3 consonants, notching 3 digits. Word splitting yields four words: iu, oe, local, 793. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iuoelocal793.org/happy-canada-day/

Page Load Overview

3.93s
Total Load Time
69
HTTP Requests
15
Domains
2.3 MB
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-CA
Text Length:1,458 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical63% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
63%
government public service
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.127.97Google · CDNUnited States
AS15169Google LLC
7142.251.110.95Google · CDNUnited States
AS15169Google LLC
7141.193.213.10United States
AS209242Cloudflare London, LLC
7104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
7172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
718.245.86.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
699--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14963D9F2884A143AA78B62DC5458B62AE7E54159DF0C5E2477FC356CDFC0FE929E220C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lnyp0mMFDABaIAFAF8wA3sSmAtyrL5R28tMLp0sMicPtYkqDHFUsZCmmeAJAOs7M:lyumeDABJAFAFfA3sSmAErXsYeAJAOsI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71961:KLPhM8OGJQ1QgYiZJAuGgAYI2pQGABIDTCGxJESBCrqPCoAohSAKggAAJOAmBDETQ1gAFLEHEnEmwHKCDUsogRJTMgA3CAEn

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:00000000fff3d3c3
Perceptual Hash:ed1269ac9239279b
Difference Hash:bfc1519926079696
Wavelet Hash:00300041fffbfbeb
Color Hash:#2d8649

Scan History

Scan history not available

Unable to load historical scan data