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    Tainted-pandas-pickle-pyramid

    Tainted pandas pickle pyramid

    The application may convert user-controlled data into an object, which can lead to an insecure deserialization vulnerability. An attacker can create a malicious serialized object, pass it to the application, and take advantage of the deserialization process to perform Denial-of-service (DoS), Remote code execution (RCE), or bypass access control measures. To prevent this vulnerability, leverage data formats such as JSON or XML as safer alternatives. If you need to deserialize user input in a specific format, consider digitally signing the data before serialization to prevent tampering. For more information, see: Deserialization prevention The pandas.read_pickle() function uses pickle for object deserialization and should not be used with untrusted data.
    Likelihood: MEDIUM
    Confidence: HIGH
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Tainted pandas hdf pyramidTainted pickle pyramid
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