Security Scan Report: instagram-r.vercel.app

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Submitted: Jul 4, 2026, 12:45:38 PMCompleted: Jul 4, 2026, 12:49:49 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is instagram-r.vercel.app and was registered NaN years ago.

Submitted URL: http://instagram-r.vercel.app/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious forms, IoC, or malware; self‑branding only, resulting in a low‑risk classification.

Risk Factors
Circular redirect detected (moderate signal)
Safety Factors
Self‑branding aligns with domain
Absence of forms that collect credentials or payments
No malicious indicators from IoC, YARA, or IDS
Domain age information unavailable

Details

Page Title

instagram-r.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain name 'instagram-r.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'instagram-r'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. It segments into 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://instagram-r.vercel.app/

Page Load Overview

8.11s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:762 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
57%
adult content
41%
social media network
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
178.46.22.25Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1216.198.79.131United States
AS16509Amazon.com, Inc.
1185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF048F77329A063986558498E05B430D9F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPy2bMy8Oldr:7hoC9JSqzzbs6okSjggcpsa2eAF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187935:CkVAuENUU0gawC1EPhEGIGFRAQAiyKO8oCTag2BtJAAAMMtBIohACFFAAySG1wCUAgkNwQJCqBSJkdUHiKYQdKBbCFwgCADD

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404033f3333
Color Hash:#643a78

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data