Documentation Index
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tainted-pandas-hdf-pyramid
tainted-pandas-hdf-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
Likelihood: MEDIUM
Confidence: HIGH
CWE:
- CWE-502: Deserialization of Untrusted Data
OWASP:
- A08:2017 - Insecure Deserialization
- A08:2021 - Software and Data Integrity Failures
pandas.read_hdf() function uses pickle when the fixed format is used during serializing. This function 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