Security Scan Report: iapp.org

Submitted: Jan 11, 2026, 3:59:21 AMCompleted: Jan 11, 2026, 4:00:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is iapp.org and was registered NaN years ago.

Submitted URL: https://iapp.org

The Cisco Umbrella rank of the primary domain is #135,799 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain (registered in 2003)
Official brand domain for IAPP
No suspicious forms or data collection
No phishing or malware indicators
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

ERROR: The request could not be satisfied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'iapp.org' is registered with no subdomain. The registrable portion 'iapp' spans 4 characters split between two vowels and 2 consonants. It segments into 2 words: i, app. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iapp.org

Page Load Overview

6.63s
Total Load Time
60
HTTP Requests
5
Domains
760 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:6,858 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6018.245.60.55United States
AS16509AMAZON-02
601--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12811842F54C8211752133250EFC9BB24A61555FEA1754118B09450DF21EA358CFE2581

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hMiHksq+Me57SaQSorcUezjIykgxQ4rlOZ88:Dq+t5qI7xQ4488

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:923:AAAAAAAABAAAAAAAAAAYAAAAAAAIAAAAAAAAAABEAAAIAACAAAgRAAAAAAAQAAABAAgAAACAAAAAAAAAAAAAAAAAAEAAEAAA

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:0703ffffffffffff
Perceptual Hash:83030303cbedcddf
Difference Hash:ccec000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#2dd232

Other Hashes

Crop Resistant:ccec000000000000

Scan History

Scan history not available

Unable to load historical scan data