Security Scan Report: instgram-ginx-l9n.netlify.app

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Submitted: Aug 1, 2026, 1:45:03 PMCompleted: Aug 1, 2026, 1:46:14 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

The site impersonates Instagram with a credential‑stealing login form on an unknown‑age Netlify subdomain; treat as high‑risk phishing.

Risk Factors (4)
Brand impersonation of Instagram/Meta
Credential harvesting form
Unranked, unknown‑age subdomain on a hosting platform
Social engineering safe‑browsing alert
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

The domain name 'instgram-ginx-l9n.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'instgram-ginx-l9n'. Its registrable label 'netlify' stretches across 7 characters containing two vowels alongside 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://instgram-ginx-l9n.netlify.app/

Page Load Overview

4.06s
Total Load Time
51 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:232 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as fr

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
phishing scam
47%
adult content
42%
news media journalism
42%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.111.153United States
AS54113Fastly, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
63--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B812737E2EB310227513F46C7BE707463162E00B8449C9663EDC16898F89D9D9AF27DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:dSbCnnipFDFWiFhwy6zFgpsCxZGIB+OxVTpidhiLiUUGiGyaJiDQuiviJ6UdUrRd:dSbFFDFjFh+FkhTpiEiUiWizivisUdUH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9038:AVkSAQQkQcCnmEpoAqmBQQ/7kGyIAAqEKAKBACgKCBAh6DKpUEAyiCQQBEgakO48BTlSBofhIBIyIDIIGICAGxEVwAxCS4Ma

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:ffffbf00ffffffff
Perceptual Hash:ff3fc0d06a2a8985
Difference Hash:0808514d88000009
Wavelet Hash:e7e7ff00c0c0e300
Color Hash:#3b783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data