Security Scan Report: impact-events.org

Submitted: Completed: publiccompleted
This website contacted 19 IPs in 3 countries across 15 domains to perform 155 HTTP transactions. The main domain is impact-events.org and was registered 2 years 4 months ago.

Submitted URL: https://impact-events.org/team/dan-orlovsky/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

The page shows its own brand, has no credential collection, and lacks any malicious indicators; it is legitimate.

Safety Factors (4)
Physical address and phone number visible
Established domain age (>2 years)
Self‑branding confirmed
No external malicious links
Domain age information unavailable

Details

Page Title

Dan Orlovsky – Impact Events

Scan Type

public

Domain Name Analysis

The domain 'impact-events.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The core label 'impact-events' covers 13 characters split between four vowels and eight consonants, plus 1 hyphen. Breaking it apart gives 2 words: impact, events. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://impact-events.org/team/dan-orlovsky/

Page Load Overview

6.57s
Total Load Time
5.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,142 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media53% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.251.20.95Google · CDNUnited States
AS15169Google LLC
8160.153.0.74United States
AS209242Cloudflare London, LLC
823.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
83.5.254.8Aws · CLOUDMontreal, Quebec, Canada
AS16509Amazon.com, Inc.
813.226.244.127Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8157.240.253.2Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
83.5.254.246Aws · CLOUDMontreal, Quebec, Canada
AS16509Amazon.com, Inc.
852.92.129.96Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
835.87.59.224Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
813.226.244.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15519--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFF2C8B3A0490512370E4B3EE1C63129E275B5CADB8E6BB5B8F4102D86E46F511E2F5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:i7P2Qe5IH4r/ZdSZUaAfkWeJ1WJAlhMjshK6rhK6wF0h71gN:iq7Zdyp6E1WJfshNrhNx18

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36510:KXGsAQDwJInCgkBRIEwhAXLzEkDkpYuChmAQECQhJgB1AlQIN6ICBnK2wJVAwQIABcRGZAhKKVjiXoIA6UEUVQeBIkCYAALE

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:ffc381818183ffff
Perceptual Hash:ed699693c2833969
Difference Hash:c023230b0b2b2027
Wavelet Hash:7f8181818181fff7
Color Hash:#b879d2

Scan History

Scan history not available

Unable to load historical scan data