In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

Introduction

Hacking Statistics: In 2024, cybercrime continues to be a growing concern globally, with hacking as one of the most prevalent forms of cyber threats. Hackers have become increasingly sophisticated, targeting both individuals and organisations. The rise in digital activities has led to an increase in hacking incidents, affecting individuals, businesses, and governments worldwide.

Recent statistics reveal that hacking is responsible for a significant percentage of data breaches, which cause billions of dollars in damages. Understanding the latest hacking trends is crucial for implementing effective security measures to safeguard personal and organisational data.

As of September 2024, almost 30 percent of cyber incidents detected in the past 12 months were hacking incidents. A further 28.7 percent were incidents of misuse, and 15.2 percent of detections revealed malware attacks.

The Password Hacking Software market has evolved significantly in recent years as both a response to and a driver of increasing cybersecurity threats. This software is primarily utilized by security professionals and ethical hackers to assess the robustness of password security systems, identify vulnerabilities, and

Dataset Description Title: Car Hacking: CAN Intrusion Detection Dataset (Mirror) Source: Original dataset curated by the Hacking and Countermeasure Research Lab (HCRL) at Korea University

This dataset captures Controller Area Network (CAN) bus traffic from a real vehicle, simulating both normal driving scenarios and four types of cyberattacks:

Denial-of-Service (DoS)

Fuzzy/Flooding Attacks

Spoofing Attacks (RPM/Gear/Speed gauge manipulation)

Replay Attacks

It is widely used to develop machine learning models for detecting intrusions in automotive communication systems.

Dataset Structure Files:

normal.csv: Benign CAN traffic (2.1M messages).

attack_DoS.csv, attack_Fuzzy.csv, attack_spoofing.csv, attack_replay.csv: Attack-specific logs.

Features:

Timestamp, CAN ID, Data Length Code (DLC), Data (hexadecimal payload).

Label (0 for normal, 1 for attack).

Usage Examples Train ML/DL models (e.g., Random Forest, LSTM) for real-time CAN intrusion detection.

Benchmark automotive cybersecurity solutions.

Study CAN protocol vulnerabilities and attack patterns.

Citation If you use this dataset, cite the original work:

Publication Song, Hyun Min, Jiyoung Woo, and Huy Kang Kim. "In-vehicle network intrusion detection using deep convolutional neural network." Vehicular Communications 21 (2020): 100198.

Seo, Eunbi, Hyun Min Song, and Huy Kang Kim. "GIDS: GAN based Intrusion Detection System for In-Vehicle Network." 2018 16th Annual Conference on Privacy, Security and Trust (PST). IEEE, 2018.'

This Kaggle dataset is a mirror of the original HCRL work.

For reproducibility, include the above citation in publications or projects using this data.

In the first half of 2024, the share of health-related U.S. data breaches caused by hacking was ** percent, which marked a *** percent increase from 2023, reaching its highest rate since 2014.

Objective: The rapid adoption of health information technology (IT) coupled with growing reports of ransomware, and hacking has made cybersecurity a priority in health care. This study leverages federal data in order to better understand current cybersecurity threats in the context of health IT.

Materials and Methods: Retrospective observational study of all available reported data breaches in the United States from 2013 to 2017, downloaded from a publicly available federal regulatory database.

Results: There were 1512 data breaches affecting 154 415 257 patient records from a heterogeneous distribution of covered entities (P < .001). There were 128 electronic medical record-related breaches of 4 867 920 patient records, while 363 hacking incidents affected 130 702 378 records.

Discussion and Conclusion: Despite making up less than 25% of all breaches, hacking was responsible for nearly 85% of all affected patient records. As medicine becomes increasingly interconnected and inform...

During the third quarter of 2025, data breaches exposed more than ** million records worldwide. Since the first quarter of 2020, the highest number of data records were exposed in the third quarter of ****, more than **** billion data sets. Data breaches remain among the biggest concerns of company leaders worldwide. The most common causes of sensitive information loss were operating system vulnerabilities on endpoint devices. Which industries see the most data breaches? Meanwhile, certain conditions make some industry sectors more prone to data breaches than others. According to the latest observations, the public administration experienced the highest number of data breaches between 2021 and 2022. The industry saw *** reported data breach incidents with confirmed data loss. The second were financial institutions, with *** data breach cases, followed by healthcare providers. Data breach cost Data breach incidents have various consequences, the most common impact being financial losses and business disruptions. As of 2023, the average data breach cost across businesses worldwide was **** million U.S. dollars. Meanwhile, a leaked data record cost about *** U.S. dollars. The United States saw the highest average breach cost globally, at **** million U.S. dollars.

Introduction

Data Breaches Statistics: In recent years, data breaches have emerged as a major threat to both businesses and individuals. As the digital world grows, the frequency, scale, and impact of these breaches have surged, resulting in significant financial, reputational, and legal repercussions for organizations. The number of data breaches hit record highs, compromising millions of sensitive records.

This increase can be attributed to several factors, including rising cybercrime, inadequate data security practices, and the growing sophistication of hacking techniques. Data from cybersecurity experts reveal a notable rise in breaches within the healthcare, financial, and retail industries.

As the fallout from these breaches intensifies, it has become increasingly important for both businesses and consumers to understand the trends and scope of these incidents. This introduction will explore the latest statistics and developments, offering insights into the evolving landscape of data breaches and their wide-reaching effects.

Financial overview and grant giving statistics of Hacking the Workforce

Between the third quarter of 2024 and the second quarter of 2025, the number of records exposed in data breaches in the United States decreased significantly. In the most recent measured period, over 16.9 million records were reported as leaked, down from around 494.17 million in the third quarter of 2024.

Financial overview and grant giving statistics of Hacking Heroin Collaborative

Each row in the dataset represents a specific data breach incident. Here's an explanation of the columns in the dataset:

Number: An identifier for each data breach incident.

Name_of_Covered_Entity: The name of the organization or entity that experienced the data breach.

Business_Associate_Involved: Information about whether a business associate was involved in the breach.

Total_Individuals: The total number of individuals affected by the breach.

Individuals_Affected: The number of individuals whose information was compromised.

Type_of_Breach: The method or nature of the data breach (e.g., theft, loss, hacking/IT incident, unauthorized access/disclosure).

Location_of_Breached_Information: The location or type of device where the breached information was stored (e.g., laptop, desktop computer, network server).

Breach_Start: The start date of the data breach.

Breach_End: The end date of the data breach.

Branch: A categorical identifier, possibly indicating a specific branch or division of the organization.

Department: A categorical identifier, possibly indicating a specific department within the organization.

CountryBranch: The country associated with the branch.

Employee(who find out breach): The employee who discovered the breach.

Employee URL: A URL link associated with the employee who discovered the breach.

Estimate Stole Data(GB): An estimate of the amount of data stolen in gigabytes.

Introducing the Hacker News Top Stories Cumulative Dataset, a meticulously curated collection of top-ranked articles from the Hacker News community. This dataset offers a comprehensive view of the most discussed and impactful stories, making it an invaluable resource for researchers, data scientists, and enthusiasts interested in analyzing trends in technology, startups, and digital culture.

Key Features:

Comprehensive Coverage: Aggregates top stories over time, providing a historical perspective on trending topics and discussions within the tech community.

Rich Metadata: Each entry includes detailed information such as the story title, URL, author, publication date, score, number of comments, and the date it was featured as a top story.

Consistent Updates: The dataset is updated daily, ensuring users have access to the latest information and trends.

Potential Use Cases:

Trend Analysis: Identify and analyze emerging topics and shifts in the tech industry over time.

Sentiment Analysis: Examine community reactions and sentiments towards specific events or announcements.

Content Recommendation Systems: Develop algorithms to recommend articles based on popularity and user engagement metrics.

Sociological Research: Study the dynamics of online communities and the dissemination of information.

Data Structure:

The dataset is presented in CSV format with the following columns:

story_id: Unique identifier for each story. title: The headline of the story. url: Direct link to the content. author: Username of the individual who submitted the story. created_at: Timestamp of when the story was published. points: Score indicating the story's popularity. num_comments: Number of comments the story received. scrape_date: Date when the story was added to the dataset. Data Source:

All data is sourced from the Hacker News API, ensuring accuracy and reliability.

Licensing and Usage:

This dataset is released under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, allowing for unrestricted use in both commercial and non-commercial projects.

Get Started:

To access the dataset and explore its potential applications, visit the Hacker News Top Stories Cumulative Dataset.

Stay ahead of the curve by leveraging this dataset to gain insights into the ever-evolving landscape of technology and innovation.

Explore the booming Ethical Hacking Certification market, driven by rising cyber threats. Discover key insights, market size, CAGR, and trends impacting SMEs and enterprises globally through 2033.

Ethical Hacking-as-a-Service Market Outlook

According to the latest research, the global Ethical Hacking-as-a-Service market size reached USD 1.82 billion in 2024, registering a robust year-on-year growth. The market is expected to expand at a CAGR of 17.6% from 2025 to 2033, with the forecasted market size projected to hit USD 8.02 billion by 2033. This remarkable growth trajectory is largely driven by the escalating frequency and sophistication of cyberattacks, compelling organizations worldwide to proactively identify and mitigate vulnerabilities through specialized ethical hacking services. As per our latest research, the increasing adoption of digital transformation initiatives, stringent regulatory mandates, and heightened awareness of cybersecurity risks are fueling the sustained expansion of the Ethical Hacking-as-a-Service market.

One of the primary growth factors propelling the Ethical Hacking-as-a-Service market is the surge in cyber threats targeting enterprises of all scales and across various industry verticals. The proliferation of ransomware, phishing, and advanced persistent threats has heightened the urgency for organizations to assess and strengthen their security postures. Ethical hacking services, delivered by certified professionals, enable businesses to simulate real-world cyberattacks, uncover hidden vulnerabilities, and implement effective remediation strategies. The growing reliance on cloud computing, remote workforces, and interconnected devices has expanded the attack surface, necessitating comprehensive penetration testing and vulnerability assessment solutions. This evolving threat landscape is pushing both public and private sector organizations to allocate higher budgets for proactive cybersecurity measures, thereby driving the demand for Ethical Hacking-as-a-Service.

Another significant driver for the Ethical Hacking-as-a-Service market is the increasingly complex regulatory environment governing data privacy and information security. Regulations such as the General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) impose strict requirements on organizations to safeguard sensitive data and maintain robust security controls. Failure to comply can result in severe financial penalties and reputational damage. Ethical hacking services play a critical role in helping organizations meet these compliance obligations by identifying security gaps, testing incident response protocols, and demonstrating due diligence to regulators. As regulatory scrutiny intensifies across regions and industries, the demand for third-party security assessments and continuous penetration testing is expected to rise sharply.

The rapid digitalization of business operations and the proliferation of emerging technologies such as the Internet of Things (IoT), artificial intelligence, and blockchain are also contributing to the expansion of the Ethical Hacking-as-a-Service market. As organizations embrace digital transformation, they face new security challenges associated with complex IT infrastructures, cloud migrations, and hybrid environments. Ethical hackers are increasingly called upon to assess the security of web applications, APIs, mobile platforms, and IoT ecosystems. The growing adoption of DevSecOps practices and the integration of security into the software development lifecycle are further driving the need for continuous, automated penetration testing services. This trend is expected to create significant opportunities for Ethical Hacking-as-a-Service providers to deliver scalable, on-demand solutions tailored to the evolving needs of modern enterprises.

From a regional perspective, North America currently dominates the Ethical Hacking-as-a-Service market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of major technology players, high cybersecurity awareness, and substantial investments in digital infrastructure are key factors supporting market growth in these regions. Asia Pacific, in particular, is witnessing rapid adoption of ethical hacking services due to the expansion of the IT and telecommunications sector, increasing regulatory mandates, and a surge in cyberattacks targeting critical infrastructure. Latin America and the Middle East & Africa are also emerging as promising markets, driven by growing digitalization efforts and heightened focus on cybersecurity resilience. As organizations across all regions prioritize proactive security meas

Context

All the countries across the globe have adapted to means of digital payments and with the increased volume of digital payments, hacking has become a pretty common event wherein the hacker can try to hack your details just with your phone number linked to your bank account. However, there is data with some anonymized variables based on which one can predict that the hack is going to happen.

Your work is to build a predictive model which can identify a pattern in these variables and suggest that a hack is going to happen so that the cybersecurity can somehow stop it before it actually happens. You have to predict the column: "MALICIOUS OFFENSE.

Content

Explore the booming password hacking software market, projected to reach $6.1 billion by 2033. This in-depth analysis covers market size, growth drivers, key players (Hashcat, John the Ripper, Burp Suite), and regional trends. Learn about ethical hacking, penetration testing, and the evolving landscape of cybersecurity.

Facebook is the most visited social network in the world and the number one target for account hacking

It started with a strange email. The kind you usually ignore. But for one midsize healthcare firm in Ohio, clicking that link changed everything. Within hours, sensitive patient records were encrypted, and hackers demanded payment in cryptocurrency. By the time IT figured out the breach, over 1.4 million records were...