Skip to main content

Whaling attack


A whaling attack, also known as whaling phishing or a whaling phishing attack, is a specific type of phishing attack that targets high-profile employees, such as the CEO or CFO, in order to steal sensitive information from a company, as those that hold higher positions within the company typically have complete access to sensitive data. In many whaling phishing attacks, the attacker's goal is to manipulate the victim into authorizing high-value wire transfers to the attacker.

The term whaling stems from the size of the attacks, and the whales are thought to be picked based on their authority within the company.

Due to their highly targeted nature, whaling attacks are often more difficult to detect than standard phishing attacks. In the enterprise, security administrators can help reduce the effectiveness of whaling attacks by encouraging the corporate management staff to undergo information security awareness training.

How whaling attacks work

The goal of a whaling attack is to trick an individual into disclosing personal or corporate information through social engineering, email spoofing and content spoofing efforts. For example, the attackers may send the victim an email that appears to be from a trusted source; some whaling campaigns include a customized malicious website that has been created especially for the attack.

Whaling attack emails and websites are highly customized and personalized, and they often incorporate the target's name, job title or other relevant information gleaned from a variety of sources. This level of personalization makes it difficult to detect a whaling attack.

Whaling attacks often depend on social engineering techniques, as attackers will send hyperlinks or attachments to infect their victims with malware or to solicit sensitive information. By targeting high-value victims, especially CEOs and other corporate officers, attackers may also induce them to approve fraudulent wire transfers using business email compromise techniques. In some cases, the attacker impersonates the CEO or other corporate officers to convince employees to carry out financial transfers.

These attacks can fool victims because attackers are willing to spend more time and effort constructing them due to their potentially high returns. Attackers will often use social media, such as Facebook, Twitter and LinkedIn, to gather personal information about their victim to make the whaling phishing attack more plausible.

Differences between phishing, whaling phishing and spear phishing

Because ordinary phishing attacks, whaling phishing attacks and spear phishing attacks are all online attacks on users in order to gain sensitive information or to social engineer the victim into taking some harmful action, the three are often confused.

A whaling attack is a special form of spear phishing that targets specific high ranking victims within a company. Spear phishing attacks can target any specific individual. Both types of attack generally require more time and effort on the part of the attacker than ordinary phishing attacks.

Phishing is a broader term that covers any type of attack that tries to fool a victim into taking some action, including sharing sensitive information, such as usernames, passwords and financial records for malicious purposes; installing malware; or completing a fraudulent financial payment or wire transfer. While ordinary phishing attacks usually involve sending emails to a large number of individuals without knowing how many will be successful, whaling phishing attacks usually target one specific individual at a time -- typically a high-ranking individual -- with highly personalized information.

Examples of whaling attack

One notable whaling attack occurred in 2016 when a high-ranking employee at Snapchat received an email from an attacker pretending to be the CEO. The employee was tricked into giving the attacker employee payroll information; ultimately, the FBI investigated the attack.

Another whaling attack from 2016 involved a Seagate employee who unknowingly emailed the income tax data of several current and former company employees to an unauthorized third party. After reporting the phishing scam to the IRS and the FBI, it was announced that thousands of people's personal data was exposed in that whaling attack

Comments

Popular posts from this blog

Understanding the Evolution: AI, ML, Deep Learning, and Gen AI

In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), one of the most intriguing advancements is the emergence of General AI (Gen AI). To grasp its significance, it's essential to first distinguish between these interconnected but distinct technologies. AI, ML, and Deep Learning: The Building Blocks Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Machine Learning, a subset of AI, empowers machines to learn from data and improve over time without explicit programming. Deep Learning, a specialized subset of ML, involves neural networks with many layers (hence "deep"), capable of learning intricate patterns from vast amounts of data. Enter General AI (Gen AI): Unraveling the Next Frontier Unlike traditional AI systems that excel in specific tasks (narrow AI), General AI aims to replicate human cognitive abilities across various domains. I...

Normalization of Database

Database Normalisation is a technique of organizing the data in the database. Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable characteristics like Insertion, Update and Deletion Anamolies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables. Normalization is used for mainly two purpose, Eliminating reduntant(useless) data. Ensuring data dependencies make sense i.e data is logically stored. Problem Without Normalization Without Normalization, it becomes difficult to handle and update the database, without facing data loss. Insertion, Updation and Deletion Anamolies are very frequent if Database is not Normalized. To understand these anomalies let us take an example of  Student  table. S_id S_Name S_Address Subject_opted 401 Adam Noida Bio 402 Alex Panipat Maths 403 Stuart Jammu Maths 404 Adam Noida Physics Updation Anamoly :  To upda...

How to deal with a toxic working environment

Handling a toxic working environment can be challenging, but there are steps you can take to address the situation and improve your experience at work: Recognize the Signs : Identify the specific behaviors or situations that contribute to the toxicity in your workplace. This could include bullying, harassment, micromanagement, negativity, or lack of support from management. Maintain Boundaries : Set boundaries to protect your mental and emotional well-being. This may involve limiting interactions with toxic individuals, avoiding gossip or negative conversations, and prioritizing self-care outside of work. Seek Support : Reach out to trusted colleagues, friends, or family members for support and advice. Sharing your experiences with others can help you feel less isolated and provide perspective on the situation. Document Incidents : Keep a record of any incidents or behaviors that contribute to the toxic environment, including dates, times, and specific details. This documentation may b...