ScanMalware.com

Security Scan Report: www.nywift.org

Submitted: Jan 5, 2026, 2:52:00 AMCompleted: Jan 5, 2026, 2:53:39 AMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 2 countries across 14 domains to perform 83 HTTP transactions. The main domain is nywift.org and was registered NaN years ago.

Submitted URL: https://www.nywift.org/2025/05/09/meet-the-new-nywift-member-melissa-roxburgh/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established organization (NYWIFT)
No credential‑harvesting or payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Meet the New NYWIFT Member: Melissa Roxburgh - New York Women in Film & TelevisionNew York Women in Film & Television

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(48%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.nywift.org' is registered and includes subdomain 'www'. The second-level label 'nywift' is 6 characters long holding one vowel versus five consonants. Breaking it apart gives 3 words: ny, wi, ft. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nywift.org/2025/05/09/meet-the-new-nywift-member-melissa-roxburgh/

Page Load Overview

13.83s
Total Load Time
64
HTTP Requests
14
Domains
4.5 MB
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-US
Text Length:12,555 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media48% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
48%
blog personal website
41%
documentation technical
29%
education learning
27%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
4172.96.180.64United States
AS23273HOSTP-LA
4142.251.141.74United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
418.66.102.66United States
AS16509
418.66.102.15United StatesUnknown
4216.239.34.36United StatesUnknown
4142.251.141.67United States
AS15169GOOGLE
491.228.74.244United Kingdom
AS16509AMAZON-02
4104.19.148.8United StatesUnknown
6415--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD73C9B7444D6437039EE684A028B716F6E2800BCB449E8473FCA29CFB86FA1957775C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FY8QbLzyp0zxx95nIGsYlSQUzwBjDMxmkHvfkn:FY8QbLeSzxx95n5sYIdcMwkH3kn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75859:0LyEkCYGKDDhbsARDEs0aHw2iCIRSmgGAQljECAHBg0gCBGBIgS/rSwDLCAAAg2Zi0A4Q7MwdQAQSCFBXBDg8NmQAjiSYFD4

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:ff00c7c3c7c7c3c3
Perceptual Hash:b8c7cd32932c92e9
Difference Hash:cef11f0f1f0f0f17
Wavelet Hash:ff00c3c3c3c3c3c3
Color Hash:#b0bf40

Other Hashes

Crop Resistant:cef11f0f1f0f0f17,ffffeff7b3f3efff,fe6eae8e0e464e60

Scan History

Scan history not available

Unable to load historical scan data