Security Scan Report: www.allhabs.com

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Submitted: Nov 5, 2025, 2:30:03 AMCompleted: Nov 5, 2025, 2:31:27 AMpubliccompleted
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Summary

This website contacted 254 IPs in 10 countries across 106 domains to perform 318 HTTP transactions. The main domain is allhabs.com and was registered NaN years ago.

Submitted URL: https://www.allhabs.com/nhl-team/montreal-canadiens/martin-st-louis-confirms-canadiens-lineup-changes-vs-flyers-as-cole-caufield-reaches-a-major-milestone

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain with long registration history
Only standard search and poll forms (no sensitive data collection)
Content is typical sports news without deceptive brand impersonation
Domain age information unavailable

Details

Page Title

Martin St-Louis Confirms Canadiens' Lineup Changes vs. Flyers as Cole Caufield Reaches a Major Miles

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(86%)

Domain Information

The domain name 'www.allhabs.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'allhabs' is 7 characters long containing two vowels alongside 5 consonants. Splitting it apart reveals 2 words: all, habs. Median word length is 3.5 characters. 'all' is most common in Chinese (Pinyin) usage. It also appears in English and Catalan contexts.

Screenshot

Security scan screenshot of https://www.allhabs.com/nhl-team/montreal-canadiens/martin-st-louis-confirms-canadiens-lineup-changes-vs-flyers-as-cole-caufield-reaches-a-major-milestone

Page Load Overview

27.72s
Total Load Time
318
HTTP Requests
106
Domains
919 KB
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:4,382 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network86% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
86%
phishing scam
85%
news media journalism
84%
government public service
84%
finance banking
80%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6551.89.9.254London, England, United Kingdom
AS16276OVH SAS
1169.197.150.7United States
AS398989DEEPINTENT
151.178.195.208France
AS16276OVH SAS
191.134.110.129France
AS16276OVH SAS
13.254.41.72Dublin, Leinster, Ireland
AS16509AMAZON-02
134.1.1.166Paris, Île-de-France, France
AS15169GOOGLE
1124.146.153.167Japan
AS2514NTT PC Communications, Inc.
1104.18.30.80United States
AS13335CLOUDFLARENET
165.9.175.41United States
AS16509AMAZON-02
169.173.156.138United States
AS26667RUBICONPROJECT
318254--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0045CF6F181703B9BA390E1907B660E7237114FBC4A8880F6B9A4E56D95D9E1033F6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HOkITY7NYW7lIh8GgP3hujzwbhd3XvSiDQ47GKmuclU:HO1uYAly8G6RujcHX6MQ47GKmuclU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185463:YgIgHCVmQAgRVqEEG0DszFXEQoNQpaYIPcKEBiQhKDLQBUYDEAYhYALOgAQamOFOIH1WAUDAAA0FFAhCxEEyIiBCAGKA0Jkr

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:0000fffffffff9c1
Perceptual Hash:e9126d122dcbb6c9
Difference Hash:691000080f081333
Wavelet Hash:0000ffffe7e78181
Color Hash:#c5c187

Other Hashes

Scan History

Scan history not available

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