Security Scan Report: mininstagramlogin.edgeone.app

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Submitted: Sep 15, 2026, 7:47:33 AMCompleted: Sep 15, 2026, 7:47:55 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Instagram phishing page on a free edgeone.app subdomain. A fake Instagram login form feeds a JavaScript Telegram credential exfiltrator. Never enter credentials.

Risk Factors (5)
Brand impersonation of Instagram/Meta on an unrelated domain
Cross-origin credential exfiltration via JavaScript to a Telegram sink
Credential harvesting login form (username/email + password)
Free hosting subdomain with unknown actual creation date
Deceptive, brand-lookalike subdomain name
Domain age information unavailable

Details

Page Title

Instagram Login

Scan Type

public

Domain Name Analysis

The domain name 'mininstagramlogin.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mininstagramlogin'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mininstagramlogin.edgeone.app

Page Load Overview

3.86s
Total Load Time
10 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:hi
Text Length:290 chars
Detector Agreement:100%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

social media network89% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
89%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.63Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1061252AB26B704226A43E4A427E757013625E413994BCE743FEC9388CF47F954EA378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KdGOX7+qxIkNyJjaujdRZoHiFOf9UL8rp7dwPj:krHujdRZo+xudwL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9143:D4aTdCXU8cKD3JJwHBAhsIAxoQBQEABQdEJAGAAQyMchkgAxCAgqEFMADAEixwAvJKI41IFCzFQcI+lOqGEVD7kkYaFiBmgR

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:ffe7e7e7e7e7e7ff
Perceptual Hash:e6668c99993399cc
Difference Hash:100c0c4c28080800
Wavelet Hash:c8c0e0e0e0e0e0f0
Color Hash:#d22dc5

Other Hashes

Crop Resistant:100c0c4c28080800

Scan History

Scan history not available

Unable to load historical scan data