Common Weakness Enumeration

CWE-502

Allowed

Deserialization of Untrusted Data

Abstraction: Base · Status: Draft

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

5115 vulnerabilities reference this CWE, most recent first.

CVE-2026-76850 (GCVE-0-2026-76850)

Vulnerability from cvelistv5 – Published: 2026-08-19 21:41 – Updated: 2026-08-21 11:21
VLAI
Title
LMDeploy Remote Code Execution via Unsafe Pickle Deserialization in the Disaggregated Serving Peer Connector
Summary
LMDeploy deserializes disaggregated-serving peer messages with pickle. The handle_zmq_recv coroutine in lmdeploy/pytorch/disagg/conn/engine_conn.py reads peer-to-peer cache-free requests with recv_pyobj(), which deserializes the received bytes with pickle.loads(), and the isinstance check against DistServeCacheFreeRequest runs only after deserialization has already completed. The peer that supplies those bytes is caller-controlled: p2p_connect passes remote_engine_endpoint_info.zmq_address from the request body to connect() on the ZMQ PULL socket, and the POST /distserve/p2p_initialize and /distserve/p2p_connect endpoints in lmdeploy/serve/openai/api_server.py apply no authentication unless the server is started with api_keys, which defaults to None. A remote attacker can direct an engine to pull from a ZMQ endpoint under their control and execute arbitrary code in the engine process. Deployments that do not enable disaggregated serving are not affected, because the receive loop is only started once the migration backend accepts the connection.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 14:08 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
Impacted products
Vendor Product Version
InternLM lmdeploy Affected: 0.9.2 , < 0.16.0 (semver)
    cpe:2.3:a:internlm:lmdeploy:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-07-29 00:00
Credits
Show details on NVD website

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CVE-2026-76843 (GCVE-0-2026-76843)

Vulnerability from cvelistv5 – Published: 2026-08-24 13:12 – Updated: 2026-08-28 15:18
VLAI
Title
Flair 0.15.0 and 0.15.1 Deserialization of Untrusted Data via ClusteringModel.load
Summary
The official Flair wheels for 0.15.0 and 0.15.1 still contain flair/models/clustering.py, whose ClusteringModel.load static method returns pickle.loads(joblib.load(str(model_file))) and so executes arbitrary Python while loading a model file. Loading a model supplied by an attacker therefore runs that attacker's code with the privileges of the loading process. This is the same sink and the same file as CVE-2024-10073, which records 0.15.0 as the fixed version on the basis that clustering support was dropped in that release; the module was removed from the documented API but remains present in the distributed artifact and reachable by importing flair.models.clustering directly, so the earlier record's fixed version does not hold for the shipped package.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-24 19:00 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
Impacted products
Vendor Product Version
flairNLP flair Affected: 0.15.0 , ≤ 0.15.1 (semver)
Create a notification for this product.
Date Public
2026-08-07 00:00
Show details on NVD website

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CVE-2026-76404 (GCVE-0-2026-76404)

Vulnerability from cvelistv5 – Published: 2026-08-19 21:35 – Updated: 2026-08-20 15:26
VLAI
Title
Remote Code Execution (RCE) through Deserialization of Untrusted Data in Splunk MCP Server app
Summary
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SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 15:09 UTC
CWE
  • CWE-502 - The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
Impacted products
Vendor Product Version
Splunk Splunk MCP Server app Affected: 1.2 , < 1.2.1 (custom)
Create a notification for this product.
Date Public
2026-08-19 00:00
Show details on NVD website

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CVE-2026-76395 (GCVE-0-2026-76395)

Vulnerability from cvelistv5 – Published: 2026-08-19 21:35 – Updated: 2026-08-26 19:51
VLAI
Title
Remote Code Execution (RCE) through Deserialization of Untrusted Data in the Model Loading REST API in Splunk AI Toolkit
Summary
In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit deserializes sparse matrix data without guarding against embedded pickle content. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-26 19:42 UTC
CWE
  • CWE-502 - The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
Impacted products
Vendor Product Version
Splunk Splunk AI Toolkit Affected: 5.7 , < 6.0.0 (custom)
Create a notification for this product.
Date Public
2026-08-19 00:00
Show details on NVD website

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CVE-2026-75987 (GCVE-0-2026-75987)

Vulnerability from cvelistv5 – Published: 2026-08-19 01:45 – Updated: 2026-08-21 19:24
VLAI
Title
SPLWare esProc SocketData.java ObjectInputStream.readUnshared deserialization
Summary
A vulnerability was found in SPLWare esProc up to 20260507. This affects the function ObjectInputStream.readUnshared of the file src/main/java/com/scudata/parallel/SocketData.java. Performing a manipulation results in deserialization. Remote exploitation of the attack is possible.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-21 19:23 UTC
CWE
References
URL Tags
https://vuldb.com/vuln/391906 vdb-entrytechnical-description
https://vuldb.com/vuln/391906/cti signaturepermissions-required
https://vuldb.com/cve/CVE-2026-75987 third-party-advisory
https://vuldb.com/submit/877849 third-party-advisory
https://github.com/SPLWare/esProc/issues/67 issue-tracking
https://github.com/SPLWare/esProc/ product
Impacted products
Vendor Product Version
SPLWare esProc Affected: 20260507
    cpe:2.3:a:splware:esproc:*:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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CVE-2026-74012 (GCVE-0-2026-74012)

Vulnerability from cvelistv5 – Published: 2026-08-18 14:00 – Updated: 2026-08-20 18:20 X_Open Source
VLAI
Title
WordPress TaxoPress plugin <= 3.51.0 - PHP Object Injection vulnerability
Summary
Deserialization of Untrusted Data vulnerability in TaxoPress allows Object Injection. This issue affects TaxoPress: from n/a through 3.51.0.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-18 14:41 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
TaxoPress TaxoPress Affected: n/a , ≤ 3.51.0 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-73993 (GCVE-0-2026-73993)

Vulnerability from cvelistv5 – Published: 2026-08-20 12:07 – Updated: 2026-08-20 16:27
VLAI
Title
WordPress FundEngine plugin <= 1.7.9 - PHP Object Injection vulnerability
Summary
Unauthenticated PHP Object Injection in FundEngine <= 1.7.9 versions.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 16:00 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Roxnor FundEngine Affected: n/a , ≤ 1.7.9 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-73397 (GCVE-0-2026-73397)

Vulnerability from cvelistv5 – Published: 2026-08-18 14:00 – Updated: 2026-08-18 14:40
VLAI
Title
WordPress Youzify plugin <= 1.3.7 - Deserialization of untrusted data vulnerability
Summary
Unauthenticated Deserialization of untrusted data in Youzify <= 1.3.7 versions.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-18 14:39 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Youzify Youzify Affected: n/a , ≤ 1.3.7 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-73389 (GCVE-0-2026-73389)

Vulnerability from cvelistv5 – Published: 2026-08-19 12:38 – Updated: 2026-08-20 15:57
VLAI
Title
WordPress Kalles Addons plugin <= 1.0.6 - PHP Object Injection vulnerability
Summary
Unauthenticated PHP Object Injection in Kalles Addons <= 1.0.6 versions.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 15:30 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
The4 Kalles Addons Affected: n/a , ≤ 1.0.6 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-73380 (GCVE-0-2026-73380)

Vulnerability from cvelistv5 – Published: 2026-08-18 14:00 – Updated: 2026-08-18 15:11
VLAI
Title
WordPress Popup by Supsystic plugin <= 1.13.0 - PHP Object Injection vulnerability
Summary
Unauthenticated PHP Object Injection in Popup by Supsystic <= 1.13.0 versions.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-18 15:10 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
supsystic Popup by Supsystic Affected: n/a , ≤ 1.13.0 (custom)
Create a notification for this product.
Show details on NVD website

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Mitigation
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.

Mitigation
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.

Mitigation
Implementation

Explicitly define a final object() to prevent deserialization.

Mitigation
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.
Mitigation
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 constantly being discovered, so this alone is not a sufficient mitigation.

Mitigation
Architecture and Design Implementation

Employ cryptography of the data or code for protection. However, it's important to note that it would still be client-side security. This is risky because if the client is compromised then the security implemented on the client (the cryptography) can be bypassed.

Mitigation MIT-29
Operation

Strategy: Firewall

Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].

CAPEC-586: Object Injection

An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.