Misconfigured Data Validation on Deserialization
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TLDR: Misconfigured data validation on deserialization can lead to critical vulnerabilities such as remote code execution (RCE), data tampering, and denial of service attacks. These issues arise from improperly validated inputs, unsafe object handling, and lack of access control measures, violating several OWASP Top Ten principles, including Input Validation, Access Controls, and secure Error Handling.
https://owasp.org/www-community/vulnerabilities/Insecure_Deserialization
Improper input validation during deserialization is a common cause of security breaches. When untrusted data is processed without validation, it can include malicious payloads or unexpected data types, resulting in code injection or application compromise. Ensuring strict Input Validation mitigates such risks, aligning with OWASP Top Ten guidance.
https://owasp.org/www-community/Input_Validation
Unrestricted deserialization of unvalidated data exposes applications to RCE vulnerabilities. Attackers can craft malicious serialized objects that execute arbitrary code upon deserialization. Using safer deserialization techniques, such as allowlists for trusted classes, ensures compliance with OWASP Top Ten's secure deserialization principles.
https://owasp.org/www-community/vulnerabilities/Insecure_Deserialization
Lack of proper Access Controls for deserialization endpoints or data repositories can result in unauthorized access to sensitive operations. Ensuring authentication and authorization for all deserialization processes follows OWASP Top Ten recommendations on secure Access Management.
https://owasp.org/www-community/Access_Control
Sensitive information embedded within serialized objects can be exposed if proper Data Encryption practices are not followed. Encrypting serialized data fields or employing transport-level encryption, such as TLS, ensures compliance with OWASP Top Ten's focus on secure data handling.
https://owasp.org/www-community/Data_Encryption
Inadequate Error Handling during deserialization can inadvertently reveal sensitive application details, such as stack traces or system configurations. Implementing generic error messages and logging specific details securely complies with OWASP Top Ten principles for secure Error Handling.
https://owasp.org/www-community/Error_Handling
Default settings in serialization frameworks often enable overly permissive behaviors, leaving applications vulnerable to exploitation. Reviewing and customizing these Framework Defaults ensures adherence to the OWASP Top Ten's best practices for security-hardening frameworks.
https://owasp.org/www-community/Framework_Security_Project
Logging raw deserialized data without sanitization can lead to sensitive information exposure. Secure Logging practices, such as masking sensitive fields and encrypting logs, are critical to meet OWASP Top Ten's monitoring and auditing standards.
https://owasp.org/www-community/Logging_and_Monitoring_Cheat_Sheet
Neglecting to monitor and update serialization and deserialization libraries exposes applications to vulnerabilities in outdated components. Regular dependency checking and alerts for vulnerable components ensure libraries are up-to-date and secure, aligning with OWASP Top Ten recommendations.
https://owasp.org/www-project-dependency-check/
Improper handling of large or deeply nested serialized objects during deserialization can lead to denial of service attacks. Enforcing limits on object size and nesting depth ensures compliance with OWASP Top Ten's focus on resource management.
https://owasp.org/www-community/Denial_of_Service
Finally, isolating deserialization processes in sandboxed environments prevents potential RCE risks. Ensuring deserialization is performed in a controlled context minimizes exploitation chances, adhering to OWASP Top Ten's emphasis on secure deserialization practices.
Serialization Frameworks': Serialization, Apache Avro, Protocol Buffers, Apache Thrift, MessagePack, FlatBuffers, BSON, Kryo, Hessian, Jackson, JSON, YAML, XML, Pickle, SerDe, Avro4s, Protobuf-net, Fastjson, Flexjson, Avro4K, Jackson-Scala; Misconfigured Serialization Frameworks, Misconfigured Apache Avro, Misconfigured Protocol Buffers, Misconfigured Jackson, Misconfigured JSON, Misconfigured YAML, Misconfigured XML, Misconfigured Pickle; Misconfigured Serialization Settings, Misconfigured Data Validation on Deserialization, Misconfigured Logging of Deserialization Errors (navbar_serialization)
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