Security Scan Report: enggclusterpune.pages.dev

Redirected to:
https://enggclusterpune.pages.dev/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 53 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://enggclusterpune.pages.dev/

Effective URL:
https://enggclusterpune.pages.dev/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Unranked pages.dev subdomain, but self-branded engineering firm with no credential or payment forms, no impersonation, and no threat-intel, hunting rule or phishing IDS hits. Content reads like a real business site.

Risk Factors (3)
Hosted on the pages.dev developer platform where the subdomain's real creation date is unknown and could be recent
Domain is unranked in Cisco Umbrella, so no independent reputation supports the business claims
Company identity, certifications and testimonials cannot be independently verified from the page itself
Safety Factors (5)
No credential or payment fields anywhere on the page
No brand impersonation — the displayed brand matches the site's own domain
No Indicators of Compromise, no JavaScript malware and no credential exfiltration
All JavaScript served from the site's own domain; only external resources are Google Fonts
Same-origin form action (enquiry form posts to '#'), no cross-origin submission
Domain age information unavailable

Details

Page Title

Engineering Cluster Pune

Scan Type

public

Domain Name Analysis

The domain name 'enggclusterpune.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'enggclusterpune'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Have any questions ? J +91 9607677334 / +91 9595715702 Engineering Cluster Pune rang cohesive parershp WELCOME TO —— 2 General Engineering Cluster Pvt. Ltd. HOME WHO WE ARE v ENGINEERING SERVIC...

Page Load Overview

3.87s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,621 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate business55% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
55%
documentation technical
54%
adult content
48%
government public service
43%
blog personal website
40%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13142.251.110.95Google · CDNUnited States
AS15169Google LLC
13142.251.14.94Google · CDNUnited States
AS15169Google LLC
534--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AE3622BA4FE11700363B3B92F5FA614BA325143ED09C9643A5D0F8C5FC6E5945B3AC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LjUvdNU/wyR1tuUb2nXMRWuNc783GJwr6t0g5ayRAb6HcnGZDo5QXc1aLQp+PNUT:LGdNUIy3P2nXVI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147111:IwODKCBg6wsOSEBTUoAJBazFBgMbABAKbnrAwB4kL4PhgoIwIWigAAoFZOZMDTHCCSAEZEyxC2YCBlFAwMATVBIBhKUMiwJY

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:ffff0000400000ff
Perceptual Hash:e28f9d70e22a7c61
Difference Hash:c345d58d8dbd8581
Wavelet Hash:ffff0001e1c100ff
Color Hash:07001038000

Scan History

Scan history not available

Unable to load historical scan data