Security Scan Report: super-computer-college-kargil-8zv0gjlw99.edgeone.app

Submitted: Mar 30, 2026, 12:13:10 AMCompleted: Mar 30, 2026, 12:14:19 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is super-computer-college-kargil-8zv0gjlw99.edgeone.app and was registered NaN years ago.

Submitted URL: https://super-computer-college-kargil-8zv0gjlw99.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: 80%

7
Risk Score

Site impersonates Instagram on an unknown, low‑rank subdomain – treat as high‑risk phishing.

Risk Factors
Brand impersonation on a non‑official domain
Subdomain on a free hosting platform with unknown creation date
Low domain ranking for a site claiming a well‑known brand
Domain age information unavailable

Details

Page Title

Batches Full

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(96%)

Domain Information

The domain 'super-computer-college-kargil-8zv0gjlw99.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'super-computer-college-kargil-8zv0gjlw99'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Segmentation suggests 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://super-computer-college-kargil-8zv0gjlw99.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
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:162 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EA1B67B7236383BE12A43E36DE0D79C7CAAE413BF13D489504D4185D2C68A7503CB8A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:THiYnnOMy8HgBFlDaROhxT/TIt6pCq00Jd1q+zLFA44qhK87:jPnhk/x/T/TY6E0z1BPdhK87

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4846:RAAoEIA4DQAggCAAEJAQACGQoUguwAEAAABA1AIYEQZQCEEiAJQjICgwAgAaAAA2EAFEAgiGiIggQHAAYBaAFABBICAgYQAA

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:001c3c3c3c3c1800
Perceptual Hash:8ef6759c2622dc23
Difference Hash:2d30697571716b86
Wavelet Hash:947c3cbfbd3c1900
Color Hash:#ac536e

Other Hashes

Crop Resistant:2d30697571716b86

Scan History

Scan history not available

Unable to load historical scan data