Security Scan Report: www.niaf.org

Site favicon
Submitted: Jul 30, 2026, 1:11:31 AMCompleted: Jul 30, 2026, 1:13:28 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is niaf.org and was registered NaN years ago.

Submitted URL: https://www.niaf.org/wp-content/uploads/2022/06/Giada-De-Laurentiis-Biography-2022.pdf

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows a PDF biography, has no forms or malicious indicators, and is hosted on a well‑established domain.

Safety Factors
Long‑standing domain
No malicious signals
Clean JavaScript and network behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.niaf.org' on the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'niaf' is 4 characters long containing two vowels alongside two consonants. Splitting it apart reveals two words: nia, f. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.niaf.org/wp-content/uploads/2022/06/Giada-De-Laurentiis-Biography-2022.pdf

Page Load Overview

3.10s
Total Load Time
3
HTTP Requests
1
Domains
105 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.124.249.2Menifee, California, United States
AS30148Sucuri
31--

Page Statistics

3
Requests
1
Unique Domains
4.1 KB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F046DBBE8F6239E5F94C39F54A8EE72A2E37748A2539D0C148433854AA5DDD0F111F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:In0w++yaNfeb7MI26GKVaChgLMCvQdFmRhat6GrMi:/wTXc0SGKb+LMCk2a6i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:189432:cWhBDEMpSM1GhhIwHInKKkJHFSQWJCQtiNFgYnQxCAOFCtAF4aQRITRICERVEAHYiI0oQSJAcuGQkhCEUpKYjQxFYfAT1FWE

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9efd696161616163
Difference Hash:30343434b4b4b4b4
Wavelet Hash:1c9c9c1c1c1c1c1c
Color Hash:#79d2bb

Scan History

Scan history not available

Unable to load historical scan data