Security Scan Report: jaiku.appspot.com

Submitted: Nov 24, 2025, 1:59:17 AMCompleted: Nov 24, 2025, 2:00:59 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is jaiku.appspot.com.

Submitted URL: https://jaiku.appspot.com/

The Cisco Umbrella rank of the primary domain is #675,990 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
No malicious Indicators of Compromise detected
No credential or payment collection forms
Standard Google App Engine hosting
Domain age information unavailable

Details

Page Title

404 Page not found

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(61%)

Domain Information

Within the commercial generic top-level domain (.com), 'jaiku.appspot.com' is registered with subdomain 'jaiku'. Count 7 characters in 'appspot' holding 2 vowels versus 5 consonants. Segmentation suggests 2 words: app, spot. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jaiku.appspot.com/

Page Load Overview

0.11s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:88 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism61% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
61%
healthcare medical
57%
government public service
52%
documentation technical
50%
adult content
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.186.180United States
AS15169GOOGLE
12a00:1450:4001:811::2014Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0D02B4E9941020FC651437037C1F274D61E7750ECD88628A90EC0EF6544518C892BD2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxCrQWR0iYBtqRkOACevXmEdxE4fGTWRLCevT4wzRx3G0CezoREk3z:kxCrY1t3eevXm4xRGTWYevT4wzRxGeze

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d1de773e9f13ca78867b4e2d1306b7f8

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:1fbfffffffffffff
Perceptual Hash:8f0f0f0f0f070f0f
Difference Hash:e020000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#87d279

Other Hashes

Crop Resistant:e020000000000000

Scan History

Scan history not available

Unable to load historical scan data