ANALISIS KARAKTERISTIK URL PHISHING DAN LEGITIMATE SEBAGAI INDIKATOR ANCAMAN KEAMANAN SIBER MENGGUNAKAN DATASET PUBLIK

Phishing URLs can imitate legitimate services and expose users to credential theft. This study compared lexical and structural characteristics of phishing and legitimate URLs using the public PhiUSIIL dataset, which documents 100,945 phishing and 134,850 legitimate URLs. URL strings were parsed offline without visiting their destinations. Eight features were examined: URL length, hostname length, digit proportion, hyphen count, hostname dot count, IP-based hosts, HTTPS scheme, and query presence. After removing 425 duplicate records, 235,370 URLs were analyzed using medians, interquartile ranges, proportions, Mann–Whitney tests, rank-biserial effect sizes, and Holm correction. Phishing URLs showed larger digit proportion (r = 0.45), URL length (r = 0.44), hyphen count (r = 0.30), and host length (r = 0.25), whereas hostname dot count differed negligibly (r = −0.03). HTTPS appeared in 48.6% of phishing URLs versus 100% of legitimate URLs; IP-based hosts and query strings occurred only among phishing URLs. Because all legitimate URLs were HTTPS homepage addresses without paths or queries, these contrasts partly reflect how the classes were built. The features are candidate warning indicators, not deterministic rules.

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Publication Details

Journal
SULIWA Jurnal Multidisiplin Teknik Sains Pendidikan dan Teknologi
Published
2026-11-07
DOI
https://doi.org/10.62671/suliwa.v3i3.370
Primary Topic
Spam and Phishing Detection
Type
article
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article

ANALISIS KARAKTERISTIK URL PHISHING DAN LEGITIMATE SEBAGAI INDIKATOR ANCAMAN KEAMANAN SIBER MENGGUNAKAN DATASET PUBLIK

Taufiq Taufiq, Yanita Yanita, Nasywa Azzahra
1 links
SULIWA Jurnal Multidisiplin Teknik Sains Pendidikan dan Teknologi
Spam and Phishing Detection
article

ANALISIS KARAKTERISTIK URL PHISHING DAN LEGITIMATE SEBAGAI INDIKATOR ANCAMAN KEAMANAN SIBER MENGGUNAKAN DATASET PUBLIK

Taufiq Taufiq, Yanita Yanita, Nasywa Azzahra
article en

Abstract

Phishing URLs can imitate legitimate services and expose users to credential theft. This study compared lexical and structural characteristics of phishing and legitimate URLs using the public PhiUSIIL dataset, which documents 100,945 phishing and 134,850 legitimate URLs. URL strings were parsed offline without visiting their destinations. Eight features were examined: URL length, hostname length, digit proportion, hyphen count, hostname dot count, IP-based hosts, HTTPS scheme, and query presence. After removing 425 duplicate records, 235,370 URLs were analyzed using medians, interquartile ranges, proportions, Mann–Whitney tests, rank-biserial effect sizes, and Holm correction. Phishing URLs showed larger digit proportion (r = 0.45), URL length (r = 0.44), hyphen count (r = 0.30), and host length (r = 0.25), whereas hostname dot count differed negligibly (r = −0.03). HTTPS appeared in 48.6% of phishing URLs versus 100% of legitimate URLs; IP-based hosts and query strings occurred only among phishing URLs. Because all legitimate URLs were HTTPS homepage addresses without paths or queries, these contrasts partly reflect how the classes were built. The features are candidate warning indicators, not deterministic rules.

SULIWA Jurnal Multidisiplin Teknik Sains Pendidikan dan TeknologiVol. 3(3)
Malikussaleh University (ID)
Openalex Percentile: Top 10%
Spam and Phishing Detection
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