The largest reported data leakage as of January 2025 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

Version 3 with 517M hashes and counts of password usage ordered by most to least prevalent Pwned Passwords are 517,238,891 real world passwords previously exposed in data breaches. This exposure makes them unsuitable for ongoing use as they re at much greater risk of being used to take over other accounts. They re searchable online below as well as being downloadable for use in other online system. The entire set of passwords is downloadable for free below with each password being represented as a SHA-1 hash to protect the original value (some passwords contain personally identifiable information) followed by a count of how many times that password had been seen in the source data breaches. The list may be integrated into other systems and used to verify whether a password has previously appeared in a data breach after which a system may warn the user or even block the password outright.

View Data Breach Notification Reports, which include how many breaches are reported each year and the number of affected residents.

As of June 2025, the most significant data breach incident in the United States was the Yahoo data breach that dates back to 2013-2016. Impacting over three billion online users, this incident still remains one of the most significant data breaches worldwide. The second-biggest case was the January 2021 data breach at Microsoft, involving about 30 thousand companies in the United States and around 60 thousand companies around the world.

During the second 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.

The list contains every wordlist, dictionary, and password database leak that I could find on the internet (and I spent a LOT of time looking). It also contains every word in the Wikipedia databases (pages-articles, retrieved 2010, all languages) as well as lots of books from Project Gutenberg. It also includes the passwords from some low-profile database breaches that were being sold in the underground years ago. The format of the list is a standard text file sorted in non-case-sensitive alphabetical order. Lines are separated with a newline " " character. You can test the list without downloading it by giving SHA256 hashes to the free hash cracker or to @PlzCrack on twitter. Here s a tool for computing hashes easily. Here are the results of cracking LinkedIn s and eHarmony s password hash leaks with the list. The list is responsible for cracking about 30% of all hashes given to CrackStation s free hash cracker, but that figure should be taken with a grain of salt because s

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.

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 ...

Over ****** data breaches were recorded in Greece between October and December 2023. In the first quarter of 2021, the data breach count exceeded *** million, which was the highest figure over the observed period.

Introduction to the Correctional Database Query System

The Bureau of Justice Statistics (BJS) Compendium of State Privacy and Security Legislation database consists of state laws, executive orders, and administrative regulations relating to the privacy and security of criminal history record information (CHRI). The Compendium database documents how the states and territories regulate the disclosure and security of CHRI. SEARCH (the National Consortium for Justice Information and Statistics) completed the previous version of the Compendium database for BJS in 2002. During 2014 and 2015, the Federal Research Division (FRD) of the Library of Congress updated the Compendium database for BJS.

The Structured Query Language (SQL) server transformation market is experiencing robust growth, projected to reach $15 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 9.4% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of cloud-based solutions and the rising demand for real-time data analytics are significantly impacting the market. Businesses are increasingly migrating their on-premise SQL servers to cloud platforms like AWS, Azure, and Google Cloud, driven by scalability, cost efficiency, and enhanced accessibility. Furthermore, the growing need for faster data processing and improved database performance is pushing organizations to adopt advanced SQL server technologies, including in-memory databases and distributed SQL solutions. The market is segmented by deployment model (cloud, on-premise), database type (relational, NoSQL), and industry vertical (finance, healthcare, retail). Major players like Oracle, IBM, Microsoft, and Amazon Web Services are actively investing in research and development, launching new products and services to solidify their market positions. Competitive pressures are driving innovation and pushing the market towards more efficient, scalable, and secure solutions. The restraining factors impacting the market include the complexities associated with migrating existing SQL servers to new platforms, the high initial investment required for cloud-based solutions, and security concerns related to data breaches. However, the long-term benefits of improved efficiency, scalability, and cost optimization are outweighing these challenges, leading to sustained market growth. The ongoing trend of big data adoption and the demand for advanced analytics are creating new opportunities for vendors. We anticipate that the market will see increased adoption of serverless SQL databases and the development of more sophisticated tools for data integration and management in the coming years. This will likely reshape the competitive landscape and accelerate the transformation of the SQL server market.

Assembled from 196 references, this database records a total of 3,861 cases of historical dam failures around the world and represents the largest compilation of dam failures recorded to date (17-02-2020). Indeed, in this database is recorded historical dam failure regardless of the type of dams (e.g. man-made dam, tailing dam, temporary dam, natural dam, etc.), either the type of structure (e.g. concrete dam, embankment dam, etc.), the type of failure (e.g. pipping failure, overtopping failure, etc.) or the properties of the dams (e.g. dam height, reservoir capacity, etc.). Through this process, a total of 45 variables (i.e. which composed the “dataset”, obtained) have been used (when possible/available and relevant) to record various information about the failure (e.g. dam descriptions, dam properties, breach dimensions, etc.). Coupled with the Excel’s functionalities (e.g. adapted from Excel 2016; customizable screen visualization, individual search of specific cases, data filter, pivot table, etc.), the database file can easily be adapted to the needs of the user (i.e. research field, dam type, dam failure type, etc.) and is considered as a door opening in various fields of research (e.g. such as hydrology, hydraulics and dam safety). Also, notice that the dataset proposed allows any user to optimize the verification process, to identify duplicates and to put back in context the historical dam failures recorded. Overall, this investigation work has aimed to standardize data collection of historical dam failures and to facilitate the international collection by setting guidelines. Indeed, the sharing method (i.e. provided through this link) not only represents a considerable asset for a wide audience (e.g. researchers, dams’ owner, etc.) but, furthermore, allows paving the way for the field of dam safety in the actual era of "Big Data". Updated versions will be deposited (at this DOI) at undetermined frequencies in order to update the data recorded over the years. Cette base de données, compile un total de 3 861 cas de rupture de barrages à travers le monde, soit la plus large compilation de ruptures historiques de barrages actuellement disponible dans la littérature (17-02-2020), et a été obtenue suite à la revue de 196 références. Pour ce faire, les cas de ruptures de barrages historiques recensés ont été enregistrés dans le fichier XLSX fourni, et ce, indépendamment du domaine d’application (ex. barrage construit par l’Homme, barrage à rétention minier, barrage temporaire, barrage naturel, etc.), du type d’ouvrage (ex. barrage en béton, barrage en remblai, etc.), du mode de rupture (ex. rupture par effet de Renard, rupture par submersion, etc.) et des propriétés des ouvrages (ex. hauteur du barrage, capacité du réservoir, etc.). Au fil du processus de compilation, un jeu de 45 variables a été obtenu afin d’enregistrer les informations (lorsque possible/disponible et pertinente) décrivant les données recensées dans la littérature (ex. descriptions du barrage, propriétés du barrage, dimensions de la brèche de rupture, etc.). De ce fait, le travail d’investigation et de compilation, ayant permis d’uniformiser et de standardiser cette collecte de données de différents types de barrages, a ainsi permis de fournir des balises facilitant la collecte de données à l’échelle internationale. Soulignons qu’en couplant la base de données aux fonctionnalités d'Excel (ex. pour Excel 2016: visualisation d'écran personnalisable, recherche individuelle de cas spécifiques, filtre de données, tableau croisé dynamique, etc.), le fichier peut également aisément être adapter aux besoins de son utilisateur (ex. domaine d’étude, type de barrage, type de rupture de barrage, etc.), ouvrant ainsi la porte à de nouvelles études dans divers domaines de recherche (ex. domaine de l’hydrologie, l’hydraulique et de la sécurité des barrages), grâce aux données nouvellement compilées. De ce fait, cette méthode de partage, mise gratuitement à la disposition de la communauté internationale par l’entremise de cette page web, représente donc non seulement un atout considérable pour un large public (ex. chercheurs, propriétaires de barrages, etc.), mais permet au domaine de la sécurité des barrages d’entrer dans l'actuelle ère du « Big Data ». Des versions mises à jour seront par le fait même déposées (via ce DOI) à des fréquences indéterminées afin de mettre à jour les données enregistrées au fil des ans.

South Korea NJ: Total: BTAFSC: Security data was reported at 12,206.000 Person in Mar 2025. This records an increase from the previous number of 11,917.000 Person for Feb 2025. South Korea NJ: Total: BTAFSC: Security data is updated monthly, averaging 10,967.000 Person from Jan 2018 (Median) to Mar 2025, with 87 observations. The data reached an all-time high of 20,344.000 Person in Jan 2021 and a record low of 8,443.000 Person in Sep 2018. South Korea NJ: Total: BTAFSC: Security data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G092: New Job Searches.

Search terms used in searching Pub-Med electronic database.

Organizations in the services industry were the most common targets of leaks of confidential data in the database format in Russia in 2023, having accounted for ** percent of the total. The second-largest share was occupied by retail and e-commerce companies, at ** percent of data theft cases.

Open-Source Database Software Market Outlook

The global open-source database software market size was estimated at USD 12.3 billion in 2023 and is projected to reach USD 33.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.8% during the forecast period. The growth factors propelling this market include the increasing adoption of open-source solutions due to cost-efficiency, flexibility, and scalability, alongside the rising volume of data generated by enterprises globally.

One of the primary growth drivers for the open-source database software market is the increasing adoption of big data analytics. Organizations across various sectors are harnessing the power of data to drive decision-making processes, optimize operations, and improve customer experiences. Open-source databases offer the flexibility and scalability required to handle vast amounts of data, making them an ideal choice for companies looking to leverage big data. Moreover, the integration of advanced technologies like artificial intelligence and machine learning with database management systems is further boosting the adoption of open-source databases.

Another significant factor contributing to the market growth is the cost-effectiveness of open-source database solutions. Traditional proprietary database systems often come with high licensing fees and maintenance costs, which can be a significant burden for small and medium-sized enterprises (SMEs). Open-source databases, on the other hand, eliminate these costs, providing a budget-friendly alternative without compromising on functionality. This cost advantage is particularly appealing to startups and SMEs, driving widespread adoption across these segments.

The growing emphasis on data security and privacy is also fueling the demand for open-source database software. With increasing instances of data breaches and stringent regulatory requirements, organizations are prioritizing robust data security measures. Open-source databases offer transparency, allowing organizations to inspect the source code and ensure there are no hidden vulnerabilities. Additionally, the active community support and frequent updates associated with open-source projects contribute to enhanced security, making them a preferred choice for businesses aiming to protect sensitive data.

Regionally, the Asia Pacific region is expected to witness the highest growth in the open-source database software market. The rapid digital transformation across industries, coupled with the increasing adoption of cloud-based solutions, is driving the demand for open-source databases in this region. Countries like China, India, and Japan are leading the charge, with numerous startups and tech companies leveraging open-source technologies to gain a competitive edge. Moreover, government initiatives promoting digitalization and data-driven decision-making are further accelerating the market growth in the Asia Pacific.

Database Type Analysis

The open-source database software market can be segmented by database type into SQL, NoSQL, and NewSQL. SQL databases, known for their structured query language, have traditionally been the backbone for relational database management systems. Despite the emergence of new database types, SQL databases continue to hold a significant market share due to their robustness, reliability, and widespread adoption across various industries. Enterprises rely on SQL databases for critical applications that require ACID (atomicity, consistency, isolation, durability) compliance and complex transactional processes.

NoSQL databases have gained significant traction in recent years, driven by the need to handle unstructured and semi-structured data. These databases offer high scalability and flexibility, making them ideal for applications involving big data, real-time analytics, and internet of things (IoT) deployments. NoSQL databases, such as MongoDB and Cassandra, allow organizations to store and process large volumes of data with ease, enabling faster data retrieval and improved performance. The increasing adoption of web applications and the growing popularity of cloud computing are further propelling the demand for NoSQL databases.

NewSQL databases represent a hybrid approach, combining the benefits of traditional SQL databases with the scalability and flexibility of NoSQL solutions. These databases are designed to address the limitations of both SQL and NoSQL databases, providing high performance, scalability, and transactional consistency. NewSQL databases, such as CockroachDB and VoltDB, are gaining populari

Salient Features of Dentists Email Addresses

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6. egularly updated and cleansed databases to keep it free of duplicate and inaccurate data

How Can Our Dentists Data Help You to Market to Dentists?

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The contact details of your targeted healthcare professionals are compiled from highly credible resources like: • Websites • Medical seminars • Medical records • Trade shows • Medical conferences

What’s in for you? Over choosing us, here are a few advantages we authenticate- • Locate, target, and prospect leads from 170+ countries • Design and execute ABM and multi-channel campaigns • Seamless and smooth pre-and post-sale customer service • Connect with old leads and build a fruitful customer relationship • Analyze the market for product development and sales campaigns • Boost sales and ROI with increased customer acquisition and retention

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We use of globally recognized data laws like –

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Our USPs- what makes us your ideal choice?

At DataCaptive™, we strive consistently to improve our services and cater to the needs of businesses around the world while keeping up with industry trends.

• Elaborate data mining from credible sources • 7-tier verification, including manual quality check • Strict adherence to global and local data policies • Guaranteed 95% accuracy or cash-back • Free sample database available on request

Guaranteed benefits of our Dentists email database!

85% email deliverability and 95% accuracy on other data fields

We understand the importance of data accuracy and employ every avenue to keep our database fresh and updated. We execute a multi-step QC process backed by our Patented AI and Machine learning tools to prevent anomalies in consistency and data precision. This cycle repeats every 45 days. Although maintaining 100% accuracy is quite impractical, since data such as email, physical addresses, and phone numbers are subjected to change, we guarantee 85% email deliverability and 95% accuracy on other data points.

100% replacement in case of hard bounces

Every data point is meticulously verified and then re-verified to ensure you get the best. Data Accuracy is paramount in successfully penetrating a new market or working within a familiar one. We are committed to precision. However, in an unlikely event where hard bounces or inaccuracies exceed the guaranteed percentage, we offer replacement with immediate effect. If need be, we even offer credits and/or refunds for inaccurate contacts.

Other promised benefits

• Contacts are for the perpetual usage • The database comprises consent-based opt-in contacts only • The list is free of duplicate contacts and generic emails • Round-the-clock customer service assistance • 360-degree database solutions

Data content: A large database of 1230 worldwide dam cases Data source: through literature search, classification, consolidation and compilation. Data quality description: classify and sort out the historical cases of weir plug dam from two aspects: qualitative description and quantitative description. The qualitative description includes the country, the name of the dam, the formation time, the type of landslide, the inducing factors, the type of dam body, the mechanism of collapse, etc; Quantitative description includes landslide volume, dam volume, dam height, dam length, dam width, barrier lake length, barrier lake volume, barrier dam life, breach depth, breach top width, breach bottom width, breach time, peak flow, casualties, etc.