Security Scan Report: kejaksaan.go.id

Submitted: Feb 18, 2026, 6:00:23 PMCompleted: Feb 18, 2026, 6:02:00 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is kejaksaan.go.id and was registered NaN years ago.

Submitted URL: https://kejaksaan.go.id

The Cisco Umbrella rank of the primary domain is #302,597 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>25 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Standard hosting environment
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

kejaksaan.go.id

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

news media journalism

(39%)

Domain Information

The domain 'kejaksaan.go.id' uses the Indonesian country-code top-level domain (.go.id) and has no subdomain. The core label 'kejaksaan' covers 9 characters split between 4 vowels and five consonants. Segmentation suggests five words: ke, jak, s, a, an. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kejaksaan.go.id

Page Load Overview

3.50s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:92 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
healthcare medical
33%
adult content
32%
government public service
28%
real estate property
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2103.104.207.172Jakarta, Jakarta, Indonesia
AS136869PT. LIMA MENARA BINTANG
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszC2bMy8Old2:2hoC9JSqzzbs6o3Sj3gcrsu2eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184466:C4LgCYCBDGrmGCjQADJDo7gQ3RJMYDwoEVEiCcLAchAKAgAAGA3QqrAwoMPFBLJ3AAAKM6ACIiQUAbSAQQDFjDEUoCFmhgI4

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#7994d2

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data