Security Scan Report: enilcones.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 25 domains to perform 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://enilcones.pages.dev/posts/clickjacking-attack-tutorial-kali-linux/

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site is a low‑tech tutorial page on a hosting subdomain; no phishing or malware signs, but unknown age and unranked domain keep it at moderate risk.

Risk Factors (2)
Unknown subdomain age
Unranked / low‑reputation domain
Safety Factors (3)
No credential or payment collection
No malicious JavaScript or exfiltration detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Clickjacking Attack Tutorial Kali Linux / The first thing you need to do is to forward all the ipv4 network packages. - Neconline

Scan Type

public

Domain Name Analysis

The domain name 'enilcones.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'enilcones'. The second-level label 'pages' is 5 characters long split between 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

NECONLINE Clickjacking Attack Tutorial Kali Linux / The first thing you need to do is to forward all the ipv4 network packages. Clickjacking Attack Tutorial Kall Linux : Other kall linux tutorlals a...

Page Load Overview

2.20s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:6,111 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%
documentation technical
46%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2173.255.249.236Fremont, California, United States
AS63949Akamai Connected Cloud
2104.26.2.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
254.192.35.117Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2192.0.72.20San Francisco, California, United States
AS2635Automattic, Inc
2172.240.127.242United States
AS7979Servers.com, Inc.
213.226.244.8Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
4217--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172D21A1393DC9437074243845B38F1FCE59F945AE7128BBAF84D19992744EB6CA3B8E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OJl43KiauFV6bTEFo9qYqf3aMrJlMljzu4LfWo5CGDMRc:OJ63Bao6bTEFo9qYqfKaJlMljzu4LOod

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29830:ggCu0TtBBYFAQBkBSVBEQQqQGCTAQRY0EJI4ZDMkEEQlQEQQC5RADDaIgfMwTgAyCAWxYrI4kQCHXAFEwioGhMA2ApJoiJIU

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:ffdfc7c7c7dfc787
Perceptual Hash:b0cf30cd3233cc7c
Difference Hash:28180e0e3e361f0f
Wavelet Hash:dfcf838383838783
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data