Security Scan Report: www.northwesternmutual.com

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Submitted: May 2, 2026, 8:28:54 AMCompleted: May 2, 2026, 8:29:48 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 13 domains to perform 81 HTTP transactions. The main domain is northwesternmutual.com and was registered NaN years ago.

Submitted URL: https://www.northwesternmutual.com/life-and-money/what-happens-if-you-file-taxes-a-day-late/

The Cisco Umbrella rank of the primary domain is #104,484 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site is the official Northwestern Mutual domain with legitimate content and login flow; no malicious indicators detected.

Safety Factors
Long‑standing domain registration
Brand ownership verified by matching domain and meta tags
Legitimate login form with proper cross‑origin handling
Absence of malicious Indicators of Compromise or IDS alerts
JavaScript obfuscation score high but no malicious patterns
Domain age information unavailable

Details

Page Title

What Happens If You File Taxes Late? | Northwestern Mutual

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(56%)

Domain Information

The domain 'www.northwesternmutual.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'northwesternmutual' is 18 characters long split between six vowels and 12 consonants. Splitting it apart reveals 2 words: northwestern, mutual. Median word length comes out to nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.northwesternmutual.com/life-and-money/what-happens-if-you-file-taxes-a-day-late/

Page Load Overview

5.95s
Total Load Time
93
HTTP Requests
14
Domains
1.1 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:16,148 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning56% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
56%
news/blog
50%
finance banking
40%
adult content
40%
healthcare medical
37%

Detected Features

Login Form
Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.20.94United States
AS15169Google LLC
7104.18.86.42United States
AS13335Cloudflare, Inc.
752.222.236.22United States
AS16509Amazon.com, Inc.
734.226.238.2Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
723.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7142.251.20.100United States
AS15169Google LLC
717.253.57.206Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
7142.251.154.119United States
AS15169Google LLC
7184.24.77.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
765.8.131.81United States
AS16509Amazon.com, Inc.
9313--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED242A5537A41029019356EDF22F720AE3A7E17FF8548C90B5ED83A02FE3CA6651BE5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Fuy9rC6VqAWaBcX638OqaQqhfMgTSpm490Wnxz3NW2MmDKmbKAhn+ZGy8/b842iY:NS//Wl2ip42iEPHQ8H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:217133:itkQuKALAFrQEBCrghUQ3IzUhJt0CCHSEkNSQZQsOMVkDEWgQJCCgFBIVnEAHwSBgBICSGAJghaxIWBAEQA0ASFAXgUrAKkZ

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:feff87818181ffff
Perceptual Hash:bc56c34979507d19
Difference Hash:720d3f373733071c
Wavelet Hash:b8e581818181ffbf
Color Hash:#2d9ed2

Scan History

Scan history not available

Unable to load historical scan data