Security Scan Report: newslogistics.in

Redirected to:
https://proztecindia.com//wp-content/sharepoint/sharepoint.html#
Submitted: Jul 6, 2026, 12:45:03 PMCompleted: Jul 6, 2026, 12:46:22 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is proztecindia.com and was registered NaN years ago.

Submitted URL: https://newslogistics.in/.lpl/sharepoint.html

Effective URL: https://proztecindia.com//wp-content/sharepoint/sharepoint.html#Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

The site impersonates Microsoft, hosts a credential‑stealing login form, and triggers phishing IDS and Safe Browsing alerts – confirmed phishing scam.

Risk Factors
Unranked domain claiming major brand
Credential collection form on non‑official domain
IDS phishing alert
Safe Browsing social engineering warning
Domain age information unavailable

Details

Page Title

SharePoint Online

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'newslogistics.in' on the Indian country-code top-level domain (.in) and has no subdomain. The registrable portion 'newslogistics' spans 13 characters with four vowels and 9 consonants. Segmentation suggests 2 words: news, logistics. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newslogistics.in/.lpl/sharepoint.html

Page Load Overview

2.17s
Total Load Time
8
HTTP Requests
7
Domains
400 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:17 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4103.53.43.77India
4103.21.59.28Mumbai, Maharashtra, India
82--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5E27C33A9AA846FD2734078EA2F54C47EF5B54B4574DF98B62C92C84FDCE04E422785

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2cVyW3G4ySbGoceD50exJ8O+PwsLVt4P4ypFE510I6GfUdyFVwqtjj+g3sPLTcTL:2cfi0gOyws5yQficFe6j/sQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33690:hCVADVOgxBlARZaAgpZEkjOlIoJHSgshghVADBi5TEACoSBoQg4GIwCoiDokpwqkBL96KBs6SAGKRoamgIkzAIwoAAYtiSRn

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:00ff7e657f60fcfc
Perceptual Hash:c21d581937675d5c
Difference Hash:33b1d0cdd5c585c5
Wavelet Hash:007f7c257d207c7c
Color Hash:#3a7864

Scan History

Scan history not available

Unable to load historical scan data