Case Study
.Manuel Randolph
4/21/2026
Case study: Phishing attacks and Social Engineering
Introduction
Major cybersecurity risks that take use of human behavior rather than technical system flaws are
social engineering and phishing attacks. Phishing is a type of social engineering, according to the
Cybersecurity and Infrastructure Security Agency (CISA), in which hackers use false emails,
texts, or websites to deceive people into disclosing private information like passwords or
financial information. In order to create a false impression of respectability and urgency, these
attacks frequently appear as reliable institutions, increasing the possibility that users would react
without confirming authenticity (CISA, n.d.). Because social engineering is one of the most
successful cyberattack techniques, it continues to be a problem because it preys on human trust.
Analysis: Social Science Integration
The success of phishing attacks can be explained by social science viewpoints. From a
psychological perspective, attackers take use of cognitive biases, including urgency, anxiety, and
faith in authority. When messages seem to be from banks or employers, victims could react to
them without giving them any thought. According to sociology, social engineering is based on
social relationships that are structured, like customer service encounters or organizational
structures, where people are taught to submit to authoritative figures. According to Forbes,
current social engineering attacks fall into a number of forms, including fraud, phishing, and
impersonation, all of which mostly focus on influencing human behavior rather than breaching
technological systems (Vakolov, 2025). Anthropology also makes a contribution by
demonstrating how cultural variations in trust and communication affect people’s susceptibility
to scams.
Proposed Solution
Both technical and human-centered approaches are required for effective control. Technically, to
reduce exposure to phishing attacks, enterprises should use domain verification tools, standard
email filtering systems, and multi-factor authentication. Socially, cybersecurity awareness
training should inform consumers about typical manipulative methods including impersonation
and urgency. People can identify unusual messages in real-world situations by participating in
simulated phishing exercises. By combining these strategies, a more robust defense system that
takes into account both human behavior and technology is produced.
Barriers Mitigation
Human mistake is an important challenge since even skilled people can fall for really convincing
attacks. The increasing complexity of phishing methods, such as customized and AI-generated
messages, presents another difficulty. Organizations must regularly upgrade security systems and
offer ongoing training rather than one-time sessions to solve these problems. Response rates can
also be increased by simplifying methods for reporting suspicious messages.
Reflections
The importance of combining cybersecurity and social sciences is shown by this case study.
Technical defenses are crucial, but social engineering attacks still primarily target human
behavior. Getting a deeper understanding of the psychological and sociological aspects of these
attacks will help prevent them more successfully.
References
Cybersecurity and Infrastructure Security Agency. (n.d.). Avoiding social engineering and
phishing attacks.
https://www.cisa.gov/news-events/news/avoiding-social-engineering-and-phishing-attacks
Vakolov, A. (2025, March 29). 14 top social engineering attack types and their subcategories.
Forbes.
https://www.forbes.com/sites/alexvakulov/2025/03/29/14-top-social-engineering-attack-type
s-and-their-subcategories/