CWE-502
Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CVE-2025-9571 (GCVE-0-2025-9571)
Vulnerability from cvelistv5 – Published: 2025-12-10 07:02 – Updated: 2025-12-10 15:07
VLAI
Title
Arbitrary Code Execution in Google Cloud Data Fusion via Malicious Artifact Upload
Summary
A remote code execution (RCE) vulnerability exists in Google Cloud Data Fusion.
A user with permissions to upload artifacts to a Data Fusion instance can execute arbitrary code within the core AppFabric component.
This could allow the attacker to gain control over the Data Fusion instance, potentially leading to unauthorized access to sensitive data, modification of data pipelines, and exploration of the underlying infrastructure.
The following CDAP versions include the necessary update to protect against this vulnerability: * 6.10.6+
* 6.11.1+
Users must immediately upgrade to them, or greater ones, available at: https://github.com/cdapio/cdap-build/releases .
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Google Cloud | Cloud Data Fusion |
Affected:
0 , < 6.10.6
(custom)
Affected: 0 , < 6.11.1 (custom) |
Credits
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CVE-2025-9906 (GCVE-0-2025-9906)
Vulnerability from cvelistv5 – Published: 2025-09-19 08:15 – Updated: 2026-02-26 17:48
VLAI
Title
Arbitrary Code execution in Keras Safe Mode
Summary
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.
One can create a specially crafted .keras model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed. This is achieved by crafting a special config.json (a file within the .keras archive) that will invoke keras.config.enable_unsafe_deserialization() to disable safe mode. Once safe mode is disable, one can use the Lambda layer feature of keras, which allows arbitrary Python code in the form of pickled code. Both can appear in the same archive. Simply the keras.config.enable_unsafe_deserialization() needs to appear first in the archive and the Lambda with arbitrary code needs to be second.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/keras-team/keras/pull/21429 | patch |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Keras-team | Keras |
Affected:
3.0.0 , < 3.11.0
(semver)
|
Date Public
2025-06-29 09:00
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CVE-2026-0677 (GCVE-0-2026-0677)
Vulnerability from cvelistv5 – Published: 2026-03-20 09:31 – Updated: 2026-06-10 19:23
VLAI
Title
WordPress TotalContest Lite plugin <= 2.9.1 - PHP Object Injection vulnerability
Summary
Deserialization of Untrusted Data vulnerability in TotalSuite TotalContest Lite totalcontest-lite allows Object Injection.This issue affects TotalContest Lite: from n/a through <= 2.9.1.
Severity
6.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://patchstack.com/database/Wordpress/Plugin/… | vdb-entry |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| TotalSuite | TotalContest Lite |
Affected:
0 , ≤ 2.9.1
(custom)
|
Date Public
2026-04-01 16:44
Credits
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CVE-2026-0726 (GCVE-0-2026-0726)
Vulnerability from cvelistv5 – Published: 2026-01-20 14:26 – Updated: 2026-04-14 15:07
VLAI
Title
Nexter Extension – Site Enhancements Toolkit <= 4.4.6 - Unauthenticated PHP Object Injection via 'nxt_unserialize_replace'
Summary
The Nexter Extension – Site Enhancements Toolkit plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 4.4.6 via deserialization of untrusted input in the 'nxt_unserialize_replace' function. This makes it possible for unauthenticated attackers to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| posimyththemes | Nexter Extension – Security, Performance, Code Snippets & Site Toolkit |
Affected:
0 , ≤ 4.4.6
(semver)
|
Credits
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CVE-2026-0760 (GCVE-0-2026-0760)
Vulnerability from cvelistv5 – Published: 2026-01-23 03:28 – Updated: 2026-01-23 19:25
VLAI
Title
Foundation Agents MetaGPT deserialize_message Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Foundation Agents MetaGPT deserialize_message Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foundation Agents MetaGPT. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the deserialize_message function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-28121.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Foundation Agents | MetaGPT |
Affected:
0.8.1
|
Date Public
2026-01-09 16:31
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CVE-2026-0762 (GCVE-0-2026-0762)
Vulnerability from cvelistv5 – Published: 2026-01-23 03:28 – Updated: 2026-01-23 19:23
VLAI
Title
GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Interaction with a malicious DAAS server is required to exploit this vulnerability but attack vectors may vary depending on the implementation.
The specific flaw exists within the stream_daas function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27956.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| GPT Academic | GPT Academic |
Affected:
3.91
|
Date Public
2026-01-09 16:35
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CVE-2026-0763 (GCVE-0-2026-0763)
Vulnerability from cvelistv5 – Published: 2026-01-23 03:28 – Updated: 2026-01-23 19:21
VLAI
Title
GPT Academic run_in_subprocess_wrapper_func Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
GPT Academic run_in_subprocess_wrapper_func Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the run_in_subprocess_wrapper_func function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27958.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| GPT Academic | GPT Academic |
Affected:
3.91
|
Date Public
2026-01-09 16:35
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CVE-2026-0764 (GCVE-0-2026-0764)
Vulnerability from cvelistv5 – Published: 2026-01-23 03:28 – Updated: 2026-01-23 19:20
VLAI
Title
GPT Academic upload Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
GPT Academic upload Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the upload endpoint. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27957.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| GPT Academic | GPT Academic |
Affected:
3.91
|
Date Public
2026-01-09 16:35
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CVE-2026-0772 (GCVE-0-2026-0772)
Vulnerability from cvelistv5 – Published: 2026-01-23 03:29 – Updated: 2026-02-26 14:44
VLAI
Title
Langflow Disk Cache Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Langflow Disk Cache Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Langflow. Authentication is required to exploit this vulnerability.
The specific flaw exists within the disk cache service. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-27919.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Date Public
2026-01-09 16:39
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CVE-2026-0773 (GCVE-0-2026-0773)
Vulnerability from cvelistv5 – Published: 2026-01-23 03:29 – Updated: 2026-01-23 16:26
VLAI
Title
Upsonic Cloudpickle Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Upsonic Cloudpickle Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Upsonic. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the add_tool endpoint, which listens on TCP port 7541 by default. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-26845.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Date Public
2026-01-09 17:13
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Mitigation
Phases: Architecture and Design, Implementation
Description:
- 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
Phase: Implementation
Description:
- 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
Phase: Implementation
Description:
- Explicitly define a final object() to prevent deserialization.
Mitigation
Phases: Architecture and Design, Implementation
Description:
- 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
Phase: Implementation
Description:
- 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
Phases: Architecture and Design, Implementation
Description:
- 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 ID: MIT-29
Phase: Operation
Strategy: Firewall
Description:
- 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.