Security Scan Report: www.forest.go.kr

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Submitted: Oct 4, 2026, 12:18:48 PMCompleted: Oct 4, 2026, 12:19:59 PMpubliccompleted

This website contacted 5 IPs in 2 countries across 4 domains to perform 88 HTTP transactions. The main domain is forest.go.kr and was registered 12 years ago.

Submitted URL: https://www.forest.go.kr/kfsweb/cop/bbs/selectBoardArticle.do;jsessionid=RnBs0nw6uuPcV3zdz4bDKZW7s0IqarEzgRCz2oqCTSNKKRUnTcBwIxyIXZgMdQq3.frswas02_servlet_engine5?nttId=3126051&bbsId=BBSMSTR_1036&pageUnit=10&pageIndex=1154&searchtitle=title&searchcont=&searchkey=&searchwriter=&searchWrd=&ctgryLrcls=&ctgryMdcls=&ctgrySmcls=&ntcStartDt=&ntcEndDt=&mn=NKFS_04_02_01&orgId=

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Official Korea Forest Service (forest.go.kr) press-release page on a 19-year-old government domain; no forms collecting credentials or payment, no malware signals. Threat-intel hits are generic abuse-reputation tags on linked .go.kr domains, not content evidence.

Safety Factors (4)
Government (.go.kr) domain, 19 years old, well-established registration
Self-branding matches the domain; no impersonation of another entity
No credential-harvesting or payment forms and no cross-origin form submission
No malware, phishing, or credential-exfiltration signals in JS or network traffic
Domain age information unavailable

Details

Page Title

산림청 - 행정정보 > 산림행정미디어센터 > 보도자료 > 바짝 마른 날씨에 산불 날라. 조마조마!

Scan Type

public

Domain Name Analysis

Within the South Korean country-code top-level domain (.go.kr), 'www.forest.go.kr' is registered; it also runs on subdomain 'www'. The registrable portion 'forest' spans 6 characters with two vowels and 4 consonants. Tokenizing the label suggests one word: forest. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.forest.go.kr/kfsweb/cop/bbs/selectBoardArticle.do;jsessionid=RnBs0nw6uuPcV3zdz4bDKZW7s0IqarEzgRCz2oqCTSNKKRUnTcBwIxyIXZgMdQq3.frswas02_servlet_engine5?nttId=3126051&bbsId=BBSMSTR_1036&pageUnit=10&pageIndex=1154&searchtitle=title&searchcont=&searchkey=&searchwriter=&searchWrd=&ctgryLrcls=&ctgryMdcls=&ctgrySmcls=&ntcStartDt=&ntcEndDt=&mn=NKFS_04_02_01&orgId=

Page Load Overview

23.85s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

HTML Lang Attribute:ko
Text Length:6,184 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service96% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
96%
social media network
52%
adult content
51%
education learning
38%
technology software
36%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20116.67.84.150South Korea
AS17841NATIONAL INFORMATION RESOURCES SERVICE
17203.133.190.44South Korea
AS18160Kakao Corp
17116.67.84.229South Korea
AS17841NATIONAL INFORMATION RESOURCES SERVICE
17184.24.77.59Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1723.48.23.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
885--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E31DE97EE0DC4658174C8C4D9F5F0C8D35AD789D160CE6193C953CF2AD1F8888B3A45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hjACZk6oJFUbZFcyRzF7EbuY0FoyRzFNFhPFVbZFtPFuEbuY17St6VcuNVvP0Rsu:/oLO79RBauJZRBfjB7n1uA5gYOl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1564:ACABAQAgAAIAAAAAAAAAABAAABAAEAAQgAMAARGAAAAAAAAAAAgAAAAAQABAVAERAASAoAABAgFAAgAAAAAAAAAAAAAAAAEg

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:003fbfbfbfffffff
Perceptual Hash:8f0340607e7e7e78
Difference Hash:58dc6a6260600005
Wavelet Hash:0000808ebebefff7
Color Hash:#2d2fd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data