Security Scan Report: mumbai-g3.gp.schneider-electric.com

Redirected to: https://mumbai-g3.gp.schneider-electric.com/global-protect/login.esp

Submitted: Feb 26, 2026, 9:05:15 AMCompleted: Feb 26, 2026, 9:06:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is mumbai-g3.gp.schneider-electric.com and was registered NaN years ago.

Submitted URL: https://mumbai-g3.gp.schneider-electric.com

Effective URL: https://mumbai-g3.gp.schneider-electric.com/global-protect/login.espRedirected

The Cisco Umbrella rank of the primary domain is #55,177 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential or payment collection forms
HTTPS connection (implied by URL)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

news media journalism

(63%)

Domain Information

Domain 'mumbai-g3.gp.schneider-electric.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'mumbai-g3.gp'. The second-level label 'schneider-electric' is 18 characters long split between 6 vowels and 11 consonants; it also includes one hyphen. Splitting it apart reveals two words: schneider, electric. Median word length comes out to 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mumbai-g3.gp.schneider-electric.com

Page Load Overview

1.59s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:66 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism63% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
63%
government public service
61%
healthcare medical
59%
adult content
59%
cryptocurrency blockchain
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.235.159.20Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
31--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BB092AF8091048D699022A02AC623AA4C16837EACB286B1188C7A58E21825988832CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iMrKb0GVSvrAZhKQUAcRHKQJnYAFDJLoz:qzxO962btAswRHLpYA7Loz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:bd4a8cfbf5ca6761a5fbe01d168397f5

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:00c0c0c000000000
Color Hash:#6f3a78

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data