Security Scan Report: s.cafebazaar.ir

Response type:XML documentapplication/xmlHTTP 403The server returned structured data (XML), typically from an API, a configuration endpoint or a storage listing, not a web page.
Site favicon
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cafebazaar.ir.

Submitted URL: https://s.cafebazaar.ir

The Cisco Umbrella rank of the primary domain is #96,646 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

You're looking at domain 's.cafebazaar.ir' on the Iranian country-code top-level domain (.ir) and includes subdomain 's'. Count 10 characters in 'cafebazaar' with five vowels and 5 consonants. Breaking it apart gives 2 words: cafe, bazaar. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

This XML file does not appear to have any style information associated with it. The document tree is shown below. Y<Errore <Code>SLowDown</Code> “Message>Please reduce your request rate.</Nessage> </...

Page Load Overview

0.18s
Total Load Time
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Text Length:433 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical32% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
32%
cryptocurrency blockchain
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.166.104.91Iran
AS202319Hezardastan Unit Cloud Computing PJSC
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B141A7A1DAD31866113BC9E02AFE676532DBC027C19A2215FA9C53DCDFC9D45B811901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9t+Ak1ncqugukVDANyuGgrtF:niFWN15AN427z8XczgumDANygrtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2404:ACAAEAgUBAAABAAAEgEIgoAABEgIAAAgAAAAIAECArEABAAAAECIARhAAAwEAAAQBBQCAAAEEClAgCCAKAgAIAAAAAQCEAQB

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:00ffffffffffffff
Perceptual Hash:8d0d0d1d1d1d1f1f
Difference Hash:f000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:N/A

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data