Common Weakness Enumeration
CWE-502
AllowedDeserialization of Untrusted Data
Abstraction: Base · Status: Draft
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
4820 vulnerabilities reference this CWE, most recent first.
CVE-2025-13715 (GCVE-0-2025-13715)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:38 – Updated: 2025-12-24 16:12
VLAI
EPSS
VEX
Title
Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the resnet 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-27197.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent/FaceDetection-DSFD/com… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | FaceDetection-DSFD |
Affected:
09deec4376f397a1124f71bc81210fadfaac296e
|
Date Public
2025-12-23 21:38
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CVE-2025-13714 (GCVE-0-2025-13714)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:24
VLAI
EPSS
VEX
Title
Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the generate_model 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-27192.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent/MedicalNet/commit/1679… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | MedicalNet |
Affected:
18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b
|
Date Public
2025-12-01 22:44
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CVE-2025-13713 (GCVE-0-2025-13713)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-31 21:20
VLAI
EPSS
VEX
Title
Tencent Hunyuan3D-1 load_pretrained Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent Hunyuan3D-1 load_pretrained Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent Hunyuan3D-1. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the load_pretrained 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-27191.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent-Hunyuan/Hunyuan3D-1/co… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | Hunyuan3D-1 |
Affected:
af913e6fe74324c60f6e50270803dd24d2afb26d
|
Date Public
2025-12-01 22:44
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CVE-2025-13712 (GCVE-0-2025-13712)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-31 21:19
VLAI
EPSS
VEX
Title
Tencent HunyuanDiT merge Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent HunyuanDiT merge Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the merge 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-27190.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent-Hunyuan/HunyuanDiT/com… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | HunyuanDiT |
Affected:
Current
|
Date Public
2025-12-01 22:44
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CVE-2025-13711 (GCVE-0-2025-13711)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:34 – Updated: 2025-12-30 21:15
VLAI
EPSS
VEX
Title
Tencent TFace eval Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent TFace eval Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent TFace. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the eval 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-27187.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent/TFace/commit/7b2eed297… | vendor-advisory |
Date Public
2025-12-01 22:45
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CVE-2025-13710 (GCVE-0-2025-13710)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:25
VLAI
EPSS
VEX
Title
Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanVideo. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the load_vae 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-27186.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent-Hunyuan/HunyuanVideo/c… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | HunyuanVideo |
Affected:
Current
|
Date Public
2025-12-01 22:44
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CVE-2025-13709 (GCVE-0-2025-13709)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:34 – Updated: 2025-12-24 16:28
VLAI
EPSS
VEX
Title
Tencent TFace restore_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent TFace restore_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent TFace. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the restore_checkpoint 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-27185.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent/TFace/commit/7b2eed297… | vendor-advisory |
Date Public
2025-12-01 22:45
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CVE-2025-13708 (GCVE-0-2025-13708)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:23
VLAI
EPSS
VEX
Title
Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent NeuralNLP-NeuralClassifier. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the _load_checkpoint 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-27184.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent/NeuralNLP-NeuralClassi… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | NeuralNLP-NeuralClassifier |
Affected:
Current
|
Date Public
2025-12-01 22:44
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CVE-2025-13707 (GCVE-0-2025-13707)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:33 – Updated: 2025-12-30 21:25
VLAI
EPSS
VEX
Title
Tencent HunyuanDiT model_resume Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent HunyuanDiT model_resume Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the model_resume 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-27183.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent-Hunyuan/HunyuanDiT/com… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | HunyuanDiT |
Affected:
949065b08413ff57b4e1c01ac21dbf01f782f67a
|
Date Public
2025-12-01 22:44
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CVE-2025-13706 (GCVE-0-2025-13706)
Vulnerability from cvelistv5 – Published: 2025-12-23 21:34 – Updated: 2025-12-30 21:15
VLAI
EPSS
VEX
Title
Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability
Summary
Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent PatrickStar. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the merge_checkpoint 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-27182.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
| https://github.com/Tencent/PatrickStar/commit/238… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tencent | PatrickStar |
Affected:
0.4.6
|
Date Public
2025-12-01 22:45
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"timestamp": "2025-12-30T21:15:31.169200Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-12-30T21:15:44.629Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unknown",
"product": "PatrickStar",
"vendor": "Tencent",
"versions": [
{
"status": "affected",
"version": "0.4.6"
}
]
}
],
"dateAssigned": "2025-11-25T21:52:30.308Z",
"datePublic": "2025-12-01T22:45:03.077Z",
"descriptions": [
{
"lang": "en",
"value": "Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent PatrickStar. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the merge_checkpoint 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-27182."
}
],
"metrics": [
{
"cvssV3_0": {
"baseScore": 7.8,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-23T21:34:00.359Z",
"orgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"shortName": "zdi"
},
"references": [
{
"name": "ZDI-25-1034",
"tags": [
"x_research-advisory"
],
"url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1034/"
},
{
"name": "vendor-provided URL",
"tags": [
"vendor-advisory"
],
"url": "https://github.com/Tencent/PatrickStar/commit/2384535503ea98cfe35ad04e20c0cfc7bf58d5d7"
}
],
"source": {
"lang": "en",
"value": "Peter Girnus (@gothburz) of Trend Zero Day Initiative"
},
"title": "Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability"
}
},
"cveMetadata": {
"assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"assignerShortName": "zdi",
"cveId": "CVE-2025-13706",
"datePublished": "2025-12-23T21:34:00.359Z",
"dateReserved": "2025-11-25T21:52:30.090Z",
"dateUpdated": "2025-12-30T21:15:44.629Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
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.