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  2. Improper input validation - Wikipedia

    en.wikipedia.org/wiki/Improper_input_validation

    Improper input validation [1] or unchecked user input is a type of vulnerability in computer software that may be used for security exploits. [2] This vulnerability is caused when "[t]he product does not validate or incorrectly validates input that can affect the control flow or data flow of a program." [1] Examples include: Buffer overflow

  3. Code injection - Wikipedia

    en.wikipedia.org/wiki/Code_injection

    Code injection is a computer security exploit where a program fails to correctly process external data, such as user input, causing it to interpret the data as executable commands. An attacker using this method "injects" code into the program while it is running.

  4. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]

  5. Cross-site scripting - Wikipedia

    en.wikipedia.org/wiki/Cross-site_scripting

    User input (including an XSS vector) would be sent to the server, and then sent back to the user as a web page. The need for an improved user experience resulted in popularity of applications that had a majority of the presentation logic (maybe written in JavaScript) working on the client-side that pulled data, on-demand, from the server using ...

  6. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Software validation ensures that "you built the right thing" and confirms that the product, as provided, fulfills the intended use and goals of the stakeholders. This article has used the strict or narrow definition of verification. From a testing perspective: Fault – wrong or missing function in the code.

  7. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning based methods, and k-source anonymity. [ 2 ] This erasure is necessary as an increasing amount of data is moving to online storage, which poses a privacy risk in the situation that the device is resold to ...

  8. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleaning differs from data validation in that validation almost invariably means data is rejected from the system at entry and is performed at the time of entry, rather than on batches of data. The actual process of data cleansing may involve removing typographical errors or validating and correcting values against a known list of entities.

  9. Directory traversal attack - Wikipedia

    en.wikipedia.org/wiki/Directory_traversal_attack

    A directory traversal (or path traversal) attack exploits insufficient security validation or sanitization of user-supplied file names, such that characters representing "traverse to parent directory" are passed through to the operating system's file system API. An affected application can be exploited to gain unauthorized access to the file system

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