Security Scan Report: jf30o7wb.apicdn.sanity.io

Submitted: May 3, 2026, 5:25:48 PMCompleted: May 3, 2026, 5:27:37 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is jf30o7wb.apicdn.sanity.io and was registered NaN years ago.

Submitted URL: https://jf30o7wb.apicdn.sanity.io

The Cisco Umbrella rank of the primary domain is #9,509 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #9,509.

Safety Factors
Well-established domain (ranked #9,509)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'jf30o7wb.apicdn.sanity.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'jf30o7wb.apicdn'. Its registrable label 'sanity' stretches across 6 characters split between 2 vowels and 4 consonants. Splitting it apart reveals one word: sanity. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jf30o7wb.apicdn.sanity.io

Page Load Overview

0.15s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:19 chars
Detector Agreement:0%

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
234.49.206.188Kansas City, Missouri, United States
AS396982Google LLC
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FC01272C560151A63765BDCAD82B5484AC5B21994314D42B6C5E4958AD6956C443284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RAtA8J2S8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B969XENdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ee3f864e3c26e388852585e266edf1b2

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:83030707070f7f7f
Difference Hash:8000000000000000
Wavelet Hash:00bf0f0ff0f0f0f0
Color Hash:#783e3a

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data