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* Metadata: Additional information about a file or data set that helps to describe, organize, and manage the data more effectively (e.g., time, location, type). | * Metadata: Additional information about a file or data set that helps to describe, organize, and manage the data more effectively (e.g., time, location, type). | ||
- | ==== How up to date is the data? ==== | + | ==== How up to date and accurate |
+ | |||
+ | Our credential database is updated daily by a dedicated team of analysts who actively monitor and extract data from hacker forums, Telegram channels, and various darknet sources. The credentials available in our database search are those that have already been publicly leaked—often because hackers failed to sell them and instead chose to distribute them for free. | ||
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+ | If you are searching for newer, actively traded credentials, | ||
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+ | **Data Accuracy and Duplicate Entries** | ||
+ | |||
+ | Credential leaks often get repackaged and redistributed in collections and archives, leading to duplicate entries. While our system works to filter out redundancies, | ||
+ | |||
+ | Furthermore, | ||
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+ | * Users change their passwords after a breach is exposed. | ||
+ | * Accounts may be deleted or suspended by the service provider. | ||
+ | * Credentials become obsolete as new security measures are implemented. | ||
+ | |||
+ | The older the dataset, the higher the probability that the credentials are no longer functional. Since these credentials are publicly available, they are accessible to anyone, diminishing their immediate value to attackers. | ||
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+ | **Why Monitoring is More Important than Retrospective Analysis** | ||
+ | |||
+ | Rather than relying solely on static historical reports, continuous monitoring of leaked credentials is essential. A one-time report over an extended period is not as effective as ongoing surveillance because: | ||
+ | Even if 99% of leaked credentials are outdated, the remaining 1% of active credentials still pose a security risk. | ||
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+ | Leaked credentials provide critical intelligence beyond just direct access, such as: | ||
+ | |||
+ | * Employee usage of third-party services with company accounts (e.g., logging into Netflix or other non-business platforms using corporate credentials). | ||
+ | * Password patterns that reveal predictable behavior. For example, if a user previously used Summer2024, there' | ||
+ | * Cross-service password reuse, which allows attackers to map out vulnerabilities across multiple platforms. | ||
+ | * Exposure assessment, measuring how frequently an employee' | ||
- | The database is updated daily from our analysts. We use different [[how_do_we_find_the_data_in_kaduu|discovery methods]] (manual and automated). | ||
===== What is a leak? ===== | ===== What is a leak? ===== |