Security Scan Report: flipkart.run

Submitted: Oct 15, 2025, 7:23:51 AMCompleted: Oct 15, 2025, 7:25:05 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is flipkart.run and was registered NaN years ago.

Submitted URL: http://flipkart.run/ajax.googleapis.com/ajax/libs/jquery/3.7.1/jquery.min.html

AI Security Verdict

High Risk

Confidence: 82%

6
Risk Score

Site shows a circular redirect on a brand‑new, unranked domain – high risk of malicious activity.

Risk Factors
Circular redirect indicates URL manipulation
Brand‑new domain (< 7 days) is highly suspicious
Unranked domain lacking reputation
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the .run top-level domain, 'flipkart.run' is registered while skipping any subdomain. The registrable portion 'flipkart' spans 8 characters with two vowels and 6 consonants. Splitting it apart reveals two words: flip, kart. The median word length lands at 4 characters. The linguistic tilt is Norwegian for 'flip'. You may catch it in Polish and Slovenian as well.

Screenshot

Security scan screenshot of http://flipkart.run/ajax.googleapis.com/ajax/libs/jquery/3.7.1/jquery.min.html

Page Load Overview

25.72s
Total Load Time
4
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 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
431.220.94.95Düsseldorf, North Rhine-Westphalia, Germany
AS51167Contabo GmbH
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19821353EC2C1520AE0270164FB91F7982659821291670F713A5EB1B6F6CC0F752936C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:HGD6FJRA3ZsjNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0Ll72rKv:H669j2CZLY5Mc6NMLYzkYKLlOy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1230:AAAAIDAAAAQACAAACQAAAACAAAAAAAAAAAEAAAITAADAAAAAAAAAAAEUAqAAAAAAAgAAAAAAEAAAAEAgAAAAABAAAAIAAAAA

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:ffffe7e7ffffff00
Perceptual Hash:e6a25d9966b26698
Difference Hash:08000c0c10000008
Wavelet Hash:0000040400080300
Color Hash:#87abc5

Other Hashes

Scan History

Scan history not available

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