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Security Scan Report: scholar.google.co.id

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Submitted: Sep 12, 2026, 2:50:53 PMCompleted: Sep 12, 2026, 2:51:12 PMpubliccompleted

Summary

This website contacted 8 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is scholar.google.co.id and was registered 29 years ago.

Submitted URL: https://scholar.google.co.id

The Cisco Umbrella rank of the primary domain is #4,180 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Google Scholar search page on Google's own google.co.id domain; established 21-year-old, top-10K-ranked site with no credential/payment forms, no Indicators of Compromise and no malware. Legitimate.

Safety Factors
Established 21-year-old domain on Google's official Indonesian ccTLD
High domain reputation (Cisco Umbrella top 10K, rank #4180)
Zero credential, password or payment fields; forms are literature search inputs only
No threat-intel, YARA, kit-roster or Safe Browsing findings
Only IDS alert is an INFO-level generic user-agent heuristic, explicitly informational
Page content matches its own claimed brand (Google Scholar) exactly
Domain age information unavailable

Details

Page Title

Google Scholar

Scan Type

public

Language

🇩🇪

German

(54% confidence)

Category

technology software

(47%)

Domain Information

The domain name 'scholar.google.co.id' uses the Indonesian country-code top-level domain (.co.id), featuring subdomain 'scholar'. Its registrable label 'google' stretches across 6 characters containing 3 vowels alongside 3 consonants. Breaking it apart gives 1 word: google. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scholar.google.co.id

Page Load Overview

1.53s
Total Load Time
7
HTTP Requests
3
Domains
203 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:54%
Script Type:Latin
Text Length:1,446 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software47% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
47%
education learning
36%
government public service
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.110.147Google · CDNUnited States
AS15169Google LLC
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
0142.250.154.104Google · CDNUnited States
AS15169Google LLC
0142.251.110.103Google · CDNUnited States
AS15169Google LLC
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0142.250.154.103Google · CDNUnited States
AS15169Google LLC
0142.251.110.99Google · CDNUnited States
AS15169Google LLC
0142.251.110.106Google · CDNUnited States
AS15169Google LLC
78--

Page Statistics

7
Requests
3
Unique Domains
242.5 KB
Total Size

Detected Technologies2

X-UA-Compatible
100%
HTTP/3
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115D32918720431397733B5B9D4BB174E31334545F4027AE99839E8D97EE4FBE2922B2A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gV167+vdE5ZGryJpF2FBll21ryAJOfxGWI:gM0V21If0F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132032:YUCQaXYkIIp8JcA04KBOOGIJmC9Eg4gxniQhBDZgFMhIqWDg8loARigNcIZiFCHvATV0PQEpGEKAINNsSMB0xUogKUCBz/DQ

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:3ef3e3efffffff00
Perceptual Hash:e5a71599139327a5
Difference Hash:4006060800000000
Wavelet Hash:3ec3c0fc0303ff00
Color Hash:#d279a4

Other Hashes

Crop Resistant:4006060800000000

Scan History

Scan history not available

Unable to load historical scan data