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CWE-502 (可信数据的反序列化) — Vulnerability Class 2494

2494 vulnerabilities classified as CWE-502 (可信数据的反序列化). AI Chinese analysis included.

CWE-502 represents a critical security weakness where applications deserialize untrusted data without validating its integrity or structure. Attackers typically exploit this vulnerability by crafting malicious serialized objects that, when processed by the application, trigger unintended code execution or logic flaws. This often leads to remote code execution, denial of service, or privilege escalation, as the deserialization process may instantiate dangerous classes or invoke unsafe methods. To mitigate this risk, developers must strictly avoid deserializing data from untrusted sources. Instead, they should implement robust input validation, use allowlists for permitted data types, or adopt safer serialization formats like JSON that do not inherently support arbitrary object instantiation. Additionally, employing cryptographic signatures to verify data authenticity before deserialization ensures that only trusted, unaltered payloads are processed, effectively neutralizing the threat of malicious object injection.

MITRE CWE Description
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
Common Consequences (3)
Integrity Modify Application Data, Unexpected State
Attackers can modify unexpected objects or data that was assumed to be safe from modification. Deserialized data or code could be modified without using the provided accessor functions, or unexpected functions could be invoked.
Availability DoS: Resource Consumption (CPU)
If a function is making an assumption on when to terminate, based on a sentry in a string, it could easily never terminate.
Other Varies by Context
The consequences can vary widely, because it depends on which objects or methods are being deserialized, and how they are used. Making an assumption that the code in the deserialized object is valid is dangerous and can enable exploitation. One example is attackers using gadget chains to perform una…
Mitigations (5)
Architecture and Design, Implementation If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
Implementation When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Implementation Explicitly define a final object() to prevent deserialization.
Architecture and Design, Implementation Make fields transient to protect them from deserialization. An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.
Implementation Avoid having unnecessary types or gadgets (a sequence of instances and method invocations that can self-execute during the deserialization process, often found in libraries) available that can be leveraged for malicious ends. This limits the potential for unintended or unauthorized types and gadgets to be leveraged by the attacker. Add only acceptable classes to an allowlist. Note: new gadgets are…
Examples (2)
This code snippet deserializes an object from a file and uses it as a UI button:
try { File file = new File("object.obj"); ObjectInputStream in = new ObjectInputStream(new FileInputStream(file)); javax.swing.JButton button = (javax.swing.JButton) in.readObject(); in.close(); }
Bad · Java
private final void readObject(ObjectInputStream in) throws java.io.IOException { throw new java.io.IOException("Cannot be deserialized"); }
Good · Java
In Python, the Pickle library handles the serialization and deserialization processes. In this example derived from [REF-467], the code receives and parses data, and afterwards tries to authenticate a user based on validating a token.
try { class ExampleProtocol(protocol.Protocol): def dataReceived(self, data): # Code that would be here would parse the incoming data # After receiving headers, call confirmAuth() to authenticate def confirmAuth(self, headers): try: token = cPickle.loads(base64.b64decode(headers['AuthToken'])) if not check_hmac(token['signature'], token['data'], getSecretKey()): raise AuthFail self.secure_data = token['data'] except: raise AuthFail }
Bad · Python
CVE ID Title CVSS Severity Published
CVE-2022-47504 SolarWinds Platform Deserialization of Untrusted Data Vulnerability — SolarWinds Platform 7.2 High 2023-02-15
CVE-2022-47507 SolarWinds Platform Deserialization of Untrusted Data Vulnerability — SolarWinds Platform 7.2 High 2023-02-15
CVE-2023-23836 SolarWinds Platform Deserialization of Untrusted Data Vulnerability — SolarWinds Platform 7.2 High 2023-02-15
CVE-2023-21713 Microsoft SQL Server Remote Code Execution Vulnerability — Microsoft SQL Server 2012 for x64-based Systems Service Pack 4 (QFE) 8.8 High 2023-02-14
CVE-2023-21710 Microsoft Exchange Server Remote Code Execution Vulnerability — Microsoft Exchange Server 2016 Cumulative Update 23 7.2 High 2023-02-14
CVE-2023-21703 Azure Data Box Gateway Remote Code Execution Vulnerability — Azure Data Box Gateway 6.5 Medium 2023-02-14
CVE-2023-21529 Microsoft Exchange Server Remote Code Execution Vulnerability — Microsoft Exchange Server 2013 Cumulative Update 23 8.8 High 2023-02-14
CVE-2023-21568 Microsoft SQL Server Integration Service (VS extension) Remote Code Execution Vulnerability — SQL Server Integration Services for Visual Studio 2019 7.3 High 2023-02-14
CVE-2023-21707 Microsoft Exchange Server Remote Code Execution Vulnerability — Microsoft Exchange Server 2013 Cumulative Update 23 8.8 High 2023-02-14
CVE-2023-21706 Microsoft Exchange Server Remote Code Execution Vulnerability — Microsoft Exchange Server 2013 Cumulative Update 23 8.8 High 2023-02-14
CVE-2023-25558 Deserialization of untrusted data in DataHub — datahub 7.5 High 2023-02-10
CVE-2022-3568 ImageMagick Engine <= 1.7.5 - Cross-Site Request Forgery to PHAR Deserialization — ImageMagick Engine 8.8 High 2023-02-09
CVE-2023-25194 Apache Kafka Connect API: Possible RCE/Denial of service attack via SASL JAAS JndiLoginModule configuration using Kafka Connect — Apache Kafka Connect API 8.8 - 2023-02-07
CVE-2023-0669 Fortra GoAnywhere MFT License Response Servlet Command Injection — Goanywhere MFT 8.8 - 2023-02-06
CVE-2023-24997 Apache InLong: Jdbc Connection Security Bypass — Apache InLong 9.8 - 2023-02-01
CVE-2022-44645 Apache Linkis (incubating): The DatasourceManager module has a serialization attack vulnerability — Apache Linkis (incubating) 8.8 - 2023-01-31
CVE-2022-32521 Schneider Electric StruxureWare Data Center Expert 代码问题漏洞 — Data Center Expert 7.1 High 2023-01-30
CVE-2022-4890 abhilash1985 PredictApp Cookie new_framework_defaults_7_0.rb deserialization — PredictApp 6.3 Medium 2023-01-16
CVE-2022-41778 Delta Electronics InfraSuite Device Master 代码问题漏洞 — InfraSuite Device Master 9.8 Critical 2023-01-12
CVE-2023-21779 Visual Studio Code Remote Code Execution Vulnerability — Visual Studio Code 7.8 High 2023-01-10
CVE-2023-21762 Microsoft Exchange Server Spoofing Vulnerability — Microsoft Exchange Server 2016 Cumulative Update 23 8.0 High 2023-01-10
CVE-2023-21745 Microsoft Exchange Server Spoofing Vulnerability — Microsoft Exchange Server 2016 Cumulative Update 23 8.0 High 2023-01-10
CVE-2023-21744 Microsoft SharePoint Server Remote Code Execution Vulnerability — Microsoft SharePoint Enterprise Server 2016 8.8 High 2023-01-10
CVE-2023-21538 .NET Denial of Service Vulnerability — .NET 6.0 7.5 High 2023-01-10
CVE-2021-32828 Regular expression Denial of Service in MooTools — Nuxeo 5.4 Medium 2023-01-05
CVE-2021-32824 Regular expression Denial of Service in MooTools — Dubbo 9.8 Critical 2023-01-03
CVE-2022-32224 Rails 代码问题漏洞 — https://github.com/rails/rails 9.8 - 2022-12-05
CVE-2022-46366 Apache Tapestry prior to version 4 (EOL) allows RCE though deserialization of untrusted input — Apache Tapestry 9.8 - 2022-12-02
CVE-2022-36964 SolarWinds Platform Deserialization of Untrusted Data — SolarWinds Platform 8.8 High 2022-11-29
CVE-2022-41958 Deserialization Vulnerability by yaml config input in super-xray — super-xray 7.3 High 2022-11-25

Vulnerabilities classified as CWE-502 (可信数据的反序列化) represent 2494 CVEs. The CWE taxonomy describes the weakness; review individual CVEs for product-specific impact.