Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks

Prince Chukwuemeka, Onwuegbuchunam Kyrian, Okes Imoni

Open source

DOI: 10.9734/ajrcos/2025/v18i6700
Published: 2025-06-09
Container: Asian Journal of Research in Computer Science
Publisher: Sciencedomain International
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.9734/ajrcos/2025/v18i6700,
  title = {Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks},
  author = {Prince Chukwuemeka and Onwuegbuchunam Kyrian and Okes Imoni},
  year = {2025},
  journal = {Asian Journal of Research in Computer Science},
  doi = {10.9734/ajrcos/2025/v18i6700},
  url = {https://doi.org/10.9734/ajrcos/2025/v18i6700}
}

RIS

TY  - JOUR
TI  - Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks
AU  - Prince Chukwuemeka
AU  - Onwuegbuchunam Kyrian
AU  - Okes Imoni
PY  - 2025
JO  - Asian Journal of Research in Computer Science
DO  - 10.9734/ajrcos/2025/v18i6700
UR  - https://doi.org/10.9734/ajrcos/2025/v18i6700
ER  -

APA

Chukwuemeka, P., Kyrian, O., & Imoni, O. (2025). Leveraging Machine Learning for the Identification of Obfuscated JavaScript in Phishing Attacks. Asian Journal of Research in Computer Science. https://doi.org/10.9734/ajrcos/2025/v18i6700

Source records

crossref · retrieved 2026-11-10T14:50:31.234Z