Pith. sign in

REVIEW 1 cited by

Phishing and Spear Phishing: examples in Cyber Espionage and techniques to protect against them

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2006.00577 v1 pith:5J4B74CS submitted 2020-05-31 cs.CR cs.CY

Phishing and Spear Phishing: examples in Cyber Espionage and techniques to protect against them

classification cs.CR cs.CY
keywords phishingattacksspearlayerlayersprotectiontoolswill
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

Phishing attacks have become the most used technique in the online scams, initiating more than 91% of cyberattacks, from 2012 onwards. This study reviews how Phishing and Spear Phishing attacks are carried out by the phishers, through 5 steps which magnify the outcome, increasing the chance of success. The focus will be also given on four different layers of protection against these social engineering attacks, showing their strengths and weaknesses; the first and second layers consist of automated tools and decision-aid tools. the third one is users' knowledge and expertise to deal with potential threats. The last layer, defined as "external", will underline the importance of having a Multi-factor authentication, an effective way to provide an enhanced security, creating a further layer of protection against Phishing and Spear Phishing.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data

    cs.CR 2026-05 conditional novelty 6.0

    Generative AI enables scalable, context-aware spear phishing by extracting profiles from public social media, producing emails that outperform real-world phishing samples in personalization and lower recipient suspicion.