Security Scan Report: keprtv.com

Submitted: Nov 4, 2025, 6:51:19 PMCompleted: Nov 4, 2025, 6:54:40 PMpubliccompleted
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Summary

This website contacted 269 IPs in 7 countries across 100 domains to perform 479 HTTP transactions. The main domain is keprtv.com and was registered NaN years ago.

Submitted URL: https://keprtv.com/news/nation-world/milwaukee-tool-recall-recalls-recalled-chainsaws-due-laceration-hazard-12-14-inch-cincinnati-m18-batteries-powered-free-repair-registration-company-webpage-lacerated-finger-reported-danger-consumer-alerts-improvement-stores

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Absence of suspicious forms or data collection
No Indicators of Compromise detected
Content aligns with legitimate news reporting
Domain age information unavailable

Details

Page Title

Nearly 100K tools recalled, sold at Home Depot

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum

(70%)

Domain Information

You're looking at domain 'keprtv.com' on the commercial generic top-level domain (.com). The registrable portion 'keprtv' spans 6 characters holding one vowel versus five consonants. Breaking it apart gives three words: k, epr, tv. The median word length lands at 2 characters. 'k' most often appears in Hungarian. It also appears in Czech and Slovak contexts.

Screenshot

Security scan screenshot of https://keprtv.com/news/nation-world/milwaukee-tool-recall-recalls-recalled-chainsaws-due-laceration-hazard-12-14-inch-cincinnati-m18-batteries-powered-free-repair-registration-company-webpage-lacerated-finger-reported-danger-consumer-alerts-improvement-stores

Page Load Overview

8.86s
Total Load Time
479
HTTP Requests
100
Domains
7.7 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:17,960 chars
Detector Agreement:100%

Website Classification

Primary Category

forum70% confidence
Type: dynamic
Method: structural

All Detected Categories

forum
70%
social_media
50%
news/blog
40%

Detected Features

Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21192.123.104.30Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
18213.32.99.96New York, New York, United States
AS16509AMAZON-02
4218.66.102.117United States
AS16509AMAZON-02
19146.75.121.44Frankfurt am Main, Hesse, Germany
AS54113FASTLY
15195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1465.8.131.88United States
AS16509AMAZON-02
12146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1069.173.156.138United States
AS26667RUBICONPROJECT
9134.122.97.154Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
818.172.112.47United States
AS16509AMAZON-02
479269--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1555418B6A801E839DD172E4E15BDBD39705F912B4AA1DEB4F1DCCD08934297A2B13EC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:U2GpUkxj2wxZnhnCV3d6mmTnoeny0ASxL8xs8II5bEbLh0IAW616ufZUlWDxlWrG:U2GpUkBnhnCem6/3T616uRl/B3sQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:287091:EQApsRCCYZIRIDZDFSc6j6QTrKCBFBUkBCuIgARabLiuBbuKlQARQtUckIhMEBwAgJwySQQJpCIAU+aBAMqkI0AOhqIrZBwB

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:00ffffdf87878787
Perceptual Hash:bec1593e344b413e
Difference Hash:4a849a3e2c2c3e3e
Wavelet Hash:00ffff8783838383
Color Hash:#c0c587

Scan History

Scan history not available

Unable to load historical scan data