Security Scan Report: membership.latimes.com

Redirected to:
https://notices.californiatimes.com/gdpr/latimes.com/
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Submitted: Nov 2, 2025, 6:47:58 AMCompleted: Nov 2, 2025, 6:49:12 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 3 domains to perform 9 HTTP transactions. The main domain is notices.californiatimes.com and was registered NaN years ago.

Submitted URL: https://membership.latimes.com/

Effective URL: https://notices.californiatimes.com/gdpr/latimes.com/Redirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Los Angeles Times - Page unavailable in your region

Scan Type

public

Language

🇺🇸

English

(40% confidence)

Category

documentation technical

(41%)

Domain Information

Within the commercial generic top-level domain (.com), 'membership.latimes.com' is registered and includes subdomain 'membership'. The core label 'latimes' covers 7 characters split between 3 vowels and 4 consonants. Tokenizing the label suggests 2 words: la, times. The median word length lands at 3.5 characters. 'la' most often appears in Esperanto. You will also see it in Catalan and Spanish contexts.

Screenshot

Security scan screenshot of https://membership.latimes.com/

Page Load Overview

8.85s
Total Load Time
9
HTTP Requests
3
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:40%
Script Type:Latin
Text Length:375 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical41% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
41%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.32.121.108New York, New York, United States
AS16509AMAZON-02
013.32.99.101New York, New York, United States
AS16509AMAZON-02
099.84.152.89United States
AS16509AMAZON-02
013.32.99.119New York, New York, United States
AS16509AMAZON-02
099.84.152.93United States
AS16509AMAZON-02
013.32.99.24New York, New York, United States
AS16509AMAZON-02
013.32.121.31New York, New York, United States
AS16509AMAZON-02
013.32.121.104New York, New York, United States
AS16509AMAZON-02
099.84.152.18United States
AS16509AMAZON-02
013.32.99.14New York, New York, United States
AS16509AMAZON-02
912--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10573D1F3875A78704906EBA4C61F11903F3FA16FB726CB90B66F86315F87A80D65096C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ilOmTuKYrdygiIqJU6+Oy4yV3jlcLjiPTguzmLePdc15:ilT1YrcHjDyV3juiPMoRU5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75312:ACwiQdIbT0AIPhQEIKJIQigD4iYGpg5AhoEcdDIExJulCGgswhJaCMc8BFRYBwAADOLEJjkUAFJ0UJKwJZaAcFgrCAFkkYQy

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data