Security Scan Report: bniajfi.org

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Submitted: Sep 27, 2026, 9:38:04 PMCompleted: Sep 27, 2026, 9:39:04 PMpubliccompleted

This website contacted 27 IPs in 2 countries across 17 domains to perform 123 HTTP transactions. The main domain is bniajfi.org and was registered 29 years ago.

Submitted URL: https://bniajfi.org/resources/learning-community/members/siyer/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established 16-year-old nonprofit research organization (BNIA-JFI) member profile page. Self-branded, no credential or payment forms, no threat-intel or malware signals. Legitimate.

Safety Factors (6)
Domain age 6053 days (well-established, 2010 registration)
Site displays its own brand consistent with its domain (no impersonation)
No credential, login, or payment forms present
All cross-origin JS is standard analytics (Google Analytics) and CDN/font resources
Physical address and contact details (University of Baltimore campus) published
No threat intelligence, YARA, IDS, or Safe Browsing detections
Domain age information unavailable

Details

Page Title

Seema Iyer | BNIA – Baltimore Neighborhood Indicators Alliance

Scan Type

public

Domain Name Analysis

You're looking at domain 'bniajfi.org' on the non-profit oriented generic top-level domain (.org) with no subdomain. Count 7 characters in 'bniajfi' split between three vowels and four consonants. It segments into 4 words: b, nia, j, fi. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bniajfi.org/resources/learning-community/members/siyer/

Page Load Overview

7.19s
Total Load Time
12.5 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:4,585 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.67.185.89Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.250.154.95Google · CDNUnited States
AS15169Google LLC
4204.52.129.211Baltimore, Maryland, United States
AS6059University System of Maryland
4142.251.150.119Google · CDNUnited States
AS15169Google LLC
4192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
4104.18.8.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
4146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
4192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
12327--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD8308F3448D193B2B279298E421F69EB29F9106CB455D79FBFD3128E7C8ED548A3108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Ai6ypQOZbQKvXQ1aOYWNs+NWpK4U1Ch7FLSUS+1+xcLgVLN/mkiXKekZsEBX9BGH:AizFbQKvXQ1aOYWNs+NWw4UkSUS+1+x6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87193:OoUHQACMrUSExAZwHDcyVAUCgKREImg8EAYACUAICCMySlIKIIdQJAgd7AG6gTSSkECkowAKuHSCPYIAHBqNCI2NaDgmRYhK

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:00ffc3c3ffffffff
Perceptual Hash:bc361616723e3e16
Difference Hash:cc24231313603312
Wavelet Hash:00868181c3ffdbdf
Color Hash:#bf4060

Scan History

Scan history not available

Unable to load historical scan data