Security Scan Report: m2now.com

Submitted: Dec 12, 2025, 12:50:51 PMCompleted: Dec 12, 2025, 12:51:34 PMpubliccompleted
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Summary

This website contacted 26 IPs in 2 countries across 7 domains to perform 94 HTTP transactions. The main domain is m2now.com and was registered NaN years ago.

Submitted URL: https://m2now.com/welcome-to-kumail-nanjiani/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Content aligns with the site’s purpose (magazine article)
Domain age information unavailable

Details

Page Title

Welcome To Kumail Nanjiani - M2 Magazine

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(50%)

Domain Information

You're looking at domain 'm2now.com' on the commercial generic top-level domain (.com) with no subdomain. Count 5 characters in 'm2now' holding one vowel versus 3 consonants; it also includes one digit. Segmentation suggests 3 words: m, 2, now. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m2now.com/welcome-to-kumail-nanjiani/

Page Load Overview

10.25s
Total Load Time
94
HTTP Requests
7
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-NZ
Text Length:16,845 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content50% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
50%
healthcare medical
46%
entertainment media
40%
corporate
35%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.67.173.92United States
AS13335CLOUDFLARENET
3142.250.184.195United States
AS15169GOOGLE
3185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3104.21.63.241United States
AS13335CLOUDFLARENET
3142.250.185.104United States
AS15169GOOGLE
352.217.225.16Ashburn, Virginia, United States
AS16509AMAZON-02
365.8.131.102United States
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
352.216.211.40Ashburn, Virginia, United States
AS16509AMAZON-02
3216.239.34.36United States
AS15169GOOGLE
9426--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5747D7B5C002C359BA341A270DE3ACF762D9227D6458091F61C9A8C8F95C9BA7F673C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:p0h5o1A1uTIDAv2phPNFlx5XZ+CKGQDD44of0swa5ppxZTXF3ft17CKgs9rw6mGY:2o1A1uTIDAv2phPNFl3TKGQDD44M0swn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:363768:BOAzFQkWAWCQCZQA6nJKisMMoHgbIYjNCAMM0RBEWqLzAgAEEgQIWYZAqlFoICrhwT+FBAIBkgzQbkpSLAIACRIgINBFFBzD

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:ff83838b8bcfffff
Perceptual Hash:b836c7c199c7c11e
Difference Hash:8e0f3f3b3b1b2637
Wavelet Hash:e783838181c3c3ff
Color Hash:#8e53ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data