Security Scan Report: hackread.com

Submitted: Nov 4, 2025, 9:47:46 AMCompleted: Nov 4, 2025, 9:49:05 AMpubliccompleted
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Summary

This website contacted 45 IPs in 3 countries across 15 domains to perform 180 HTTP transactions. The main domain is hackread.com and was registered NaN years ago.

Submitted URL: https://hackread.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age over 14 years (well established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Content appears to be standard news articles
Domain age information unavailable

Details

Page Title

Hackread – Cybersecurity News, Data Breaches, Tech, AI, Crypto and More

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

technology software

(70%)

Domain Information

The domain 'hackread.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'hackread' covers 8 characters holding three vowels versus 5 consonants. It segments into 2 words: hack, read. Average segment length settles at 4 characters. 'hack' most often appears in Chinese (Pinyin). You will also see it in English and Vietnamese contexts.

Screenshot

Security scan screenshot of https://hackread.com/

Page Load Overview

16.96s
Total Load Time
180
HTTP Requests
15
Domains
3.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:63,273 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.239.34.36United States
AS15169GOOGLE
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4104.18.19.183United States
AS13335CLOUDFLARENET
4142.250.184.193United States
AS15169GOOGLE
4104.18.18.183United States
AS13335CLOUDFLARENET
4142.250.184.206United States
AS15169GOOGLE
4142.250.184.234United States
AS15169GOOGLE
4192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
4104.75.88.209Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
18045--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6B4A531F844193FAB3B44C4E749D70EB1C6A31BF4A90810D5E6476C8AE9F78E51E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:EkVnEcNVwagjNDSqTbO/trbbKbBAr1i8ZkMskE:nVnEcNVwagjN2qTbO/trbbKbBq88ZJ4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500226:STUBwRlbLLAAWDBOBSjIAIGDA0RAIIaJDTYSoJAMkAJCRCFkUwwBERUYpikIahIgBphCiEMpCYFqE8CgthogQYFAjApBkAEC

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:0000383818ffff83
Perceptual Hash:d84736b479e3c918
Difference Hash:c4f0f0f0b0b22b2f
Wavelet Hash:00183c3c18ffffc3
Color Hash:#2d67d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data