Security Scan Report: mniit-rc116x4k6w.edgeone.app

Site favicon
Submitted: Dec 4, 2025, 9:43:51 PMCompleted: Dec 4, 2025, 9:46:13 PMpubliccompleted
Loading additional data...

Summary

This website contacted 21 IPs in 3 countries across 6 domains to perform 28 HTTP transactions. The main domain is mniit-rc116x4k6w.edgeone.app.

Submitted URL: https://mniit-rc116x4k6w.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Site impersonates NIIT on a low‑rank, likely new domain – high risk phishing.

Risk Factors
Brand impersonation (NIIT) on an unrelated, low‑rank domain
Low Cisco Umbrella ranking indicating poor reputation
Likely newly registered domain (age unknown, not established)
Domain age information unavailable

Details

Page Title

School Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'mniit-rc116x4k6w.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'mniit-rc116x4k6w'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mniit-rc116x4k6w.edgeone.app/

Page Load Overview

1.24s
Total Load Time
28
HTTP Requests
6
Domains
2.0 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:1,850 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1743.152.26.58Singapore
4104.17.24.14United States
AS13335CLOUDFLARENET
4172.217.18.3United States
AS15169GOOGLE
1104.16.175.226United States
AS13335CLOUDFLARENET
1142.250.186.138United States
AS15169GOOGLE
1151.101.2.137San Francisco, California, United States
AS54113FASTLY
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1104.17.25.14United States
AS13335CLOUDFLARENET
1104.16.174.226United States
AS13335CLOUDFLARENET
12a04:4e42:200::649United States
AS54113FASTLY
2821--

Detected Technologies2

JQueryv3.6.3
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE22586424F529AB8587D2D12FA9DB1B7EC0B50BC51B5A043AFC17C89FE7C868E13709

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nb7vTAG37V64+qw64BtP64Bs64TF3I15nwVsQ1z27YMIP990dkpdrJXQpfP:b7vTAl4+o4XS4r4GsV927Ti9ukT9XQdP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10819:RcZaiScMiBIAwnhQgCXCKiAMNKRgQgoCECKcSQIhSLgU7HIoYHBACoLhEARkIkBPJJEKhABFAJqOtxPfEJghIIbxIBRLlF1A

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:fffffff808000000
Perceptual Hash:eb86a691d9c2c19b
Difference Hash:4467855150d30511
Wavelet Hash:fffffffd08000000
Color Hash:#64d22d

Scan History

Scan history not available

Unable to load historical scan data