Security Scan Report: www.afpc.org

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Submitted: Dec 26, 2025, 9:47:35 PMCompleted: Dec 26, 2025, 9:48:10 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 10 domains to perform 28 HTTP transactions. The main domain is afpc.org and was registered NaN years ago.

Submitted URL: https://www.afpc.org/news/news/u.s-middle-east-expert-mora-namdar-joins-afpc

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Official domain matches the organization’s brand
Domain age information unavailable

Details

Page Title

U.S. Middle East Expert Mora Namdar Joins AFPC | American Foreign Policy Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(74%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.afpc.org' is registered, featuring subdomain 'www'. Its registrable label 'afpc' stretches across 4 characters split between one vowel and three consonants. Word splitting yields 2 words: afp, c. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.afpc.org/news/news/u.s-middle-east-expert-mora-namdar-joins-afpc

Page Load Overview

4.15s
Total Load Time
24
HTTP Requests
9
Domains
498 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:1,878 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
blog personal website
40%
adult content
31%
news
15%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.35.58.85United States
AS16509AMAZON-02
2142.250.185.227United States
218.159.163.79Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
298.129.229.4United States
AS53824LIQUIDWEB
23.171.214.6United StatesUnknown
23.160.150.14United StatesUnknown
2142.250.185.202United States
AS15169GOOGLE
2142.250.184.200United States
AS15169GOOGLE
249--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126F2E6F1A5F469510113C392F371BB1AEA91A06BDACA494CB2ED0F944FD3D868817859

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TDN9ngWwP7AFVx9E9L5OXwX1zIMvda1ZcO/Bm0fm0ZQOj2:TDN9nwP6xezOXOx18ZHm+N2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34710:ORCAAg1AwkBGURtRMB31BS1RAhRRCmBIkqOGQaTBCk1FBNY8IIAFOBXwDgAMAEYkxGkEscTAeDIoQENYgAMAyGA2oGAyyAta

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:00fffffff7e7ffeb
Perceptual Hash:e71e2b2e4c1b691c
Difference Hash:73084a04040e0f07
Wavelet Hash:00e7ffc000e3e7e3
Color Hash:#d22d5c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data