ScanMalware.com

Security Scan Report: www.mondo.nyc

Redirected to:
https://www.mondo.nyc/speakers/naomi-gillies
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Submitted: Aug 4, 2026, 10:38:37 PMCompleted: Aug 4, 2026, 10:40:36 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is mondo.nyc and was registered NaN years ago.

Submitted URL: https://www.mondo.nyc/speakers-2022/naomi-gillies

Effective URL: https://www.mondo.nyc/speakers/naomi-gilliesRedirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

The site shows its own brand, is well‑established, and lacks any malicious indicators.

Safety Factors
Established domain age
Legal pages (terms/privacy) present
Only email newsletter signup form
No malicious network or IDS alerts
Domain age information unavailable

Details

Page Title

Mondo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(68%)

Domain Information

Domain 'www.mondo.nyc' uses the .nyc top-level domain and includes subdomain 'www'. Count 5 characters in 'mondo' holding 2 vowels versus three consonants. It segments into one word: mondo. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mondo.nyc/speakers-2022/naomi-gillies

Page Load Overview

18.19s
Total Load Time
180
HTTP Requests
11
Domains
1.3 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
Text Length:5,750 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical68% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
68%
technology software
60%
government public service
50%
adult content
46%
entertainment media
44%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2534.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2518.204.162.38Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2534.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2534.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
252.21.20.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
25151.101.130.217Fastly · CDNUnited States
AS54113Fastly, Inc.
1807--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B6C44B4455145D3D4BCF22EE7943BD0964E8082B8888867FB5ED5DAC3EF3A9C528B327

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ldzsrv0CiERyWFucVVOUcE2dD8K51a9v6RZeySbHXAd5I:lddm/Jm5ZE9MI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:581530:EKDaxLEgBFCT0RNCBVBEEU2N3FARhFC4ygQglEAPUhakEAwAYgBAxFCRghGIIqBoE+RB0UKLzChFtYjDQACAhiIEBAuoCwOC

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:00786c6060000020
Perceptual Hash:c3c31c3c6e3b3a92
Difference Hash:21c1c9c9cd89d1c1
Wavelet Hash:8179fdf1e141017d
Color Hash:#39862d

Other Hashes

Crop Resistant:b2b0d0e16362a3b6,21c1c9c9cf89d1c1

Scan History

Scan history not available

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