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.

5482 vulnerabilities reference this CWE, most recent first.

CVE-2026-102101 (GCVE-0-2026-102101)

Vulnerability from cvelistv5 – Published: 2026-09-30 20:11 – Updated: 2026-10-01 13:37
VLAI
Title
Kiteworks Core deserialization of untrusted data
Summary
Kiteworks Core before version 9.5.0 is vulnerable to Deserialization of Untrusted Data. A deserialization weakness in Kiteworks Core could, under certain conditions, allow crafted data to be deserialized unsafely, potentially resulting in remote code execution on the appliance. Exploitation depends on an attacker first being able to influence the affected data, so this issue is not exploitable on its own.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-01 13:26 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Kiteworks Core Affected: 0 , < 9.5.0 (custom)
Unaffected: 9.5.0
Create a notification for this product.
Date Public
2026-09-30 00:00
Show details on NVD website

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CVE-2026-101169 (GCVE-0-2026-101169)

Vulnerability from cvelistv5 – Published: 2026-09-29 07:49 – Updated: 2026-09-29 16:46
VLAI
Summary
In affected versions of Octopus Server, an authenticated user with permissions to edit an Environment or Project can set specifically crafted JSON content for the object. Insecure deserialization of this content allows the user to execute arbitrary code in the Octopus Server process.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-29 16:46 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Octopus Deploy Octopus Server Affected: 2019.4.1 , < 2026.1.11781 (custom)
Affected: 2026.2.0 , < 2026.2.13441 (custom)
Affected: 2026.3.0 , < 2026.3.15829 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-100846 (GCVE-0-2026-100846)

Vulnerability from cvelistv5 – Published: 2026-09-27 01:28 – Updated: 2026-09-30 15:52
VLAI
Title
MONAI before 1.5.2 Remote Code Execution via Pickle Deserialization
Summary
MONAI before 1.5.2 contains a deserialization of untrusted data vulnerability in the algo_from_pickle function in monai/auto3dseg/utils.py. The function reads a .pkl file and passes its contents to pickle.loads without validating the data source or content. If an application invokes algo_from_pickle on an attacker-supplied pickle file, an object defining __reduce__ is executed during deserialization, resulting in arbitrary code execution in the context of the application.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-30 15:52 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Project-MONAI MONAI Affected: 0 , < 1.5.2 (semver)
Unaffected: 1.5.2 (semver)
    cpe:2.3:a:project-monai:monai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-04-03 00:00
Show details on NVD website

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CVE-2026-100845 (GCVE-0-2026-100845)

Vulnerability from cvelistv5 – Published: 2026-09-27 01:28 – Updated: 2026-09-28 13:56
VLAI
Title
MONAI before 1.6.0 Remote Code Execution via NumpyReader
Summary
MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through MONAI's standard data pipeline.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-28 13:56 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Project-MONAI MONAI Affected: 0 , < 1.6.0 (semver)
Unaffected: 1.6.0 (semver)
    cpe:2.3:a:project-monai:monai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-11 00:00
Show details on NVD website

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CVE-2026-100843 (GCVE-0-2026-100843)

Vulnerability from cvelistv5 – Published: 2026-09-27 01:28 – Updated: 2026-09-30 15:17
VLAI
Title
MONAI before 1.6.0 Remote Code Execution via algo_from_pickle
Summary
MONAI versions before 1.6.0 contain a remote code execution vulnerability in the algo_from_pickle() function due to unsafe pickle.loads() deserialization in monai/auto3dseg/utils.py. Attackers can craft malicious pickle files that execute arbitrary system commands when deserialized by the vulnerable function.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-30 15:17 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Project-MONAI MONAI Affected: 0 , < 1.6.0 (semver)
Unaffected: 1.6.0 (semver)
    cpe:2.3:a:project-monai:monai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-11 00:00
Show details on NVD website

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CVE-2026-100841 (GCVE-0-2026-100841)

Vulnerability from cvelistv5 – Published: 2026-09-27 01:28 – Updated: 2026-09-28 13:56
VLAI
Title
MONAI through 1.6.0 PersistentDataset Remote Code Execution via Pickle Cache
Summary
In MONAI 1.6.0, PersistentDataset (monai/data/dataset.py) explicitly rejects the combination track_meta=True with weights_only=True, forcing users who cache MetaTensors (the default tensor type in MONAI >= 1.0) to run torch.load(hashfile, weights_only=False). Related cache helpers in monai/data/utils.py also call pickle.loads on cached content and derive cache keys with hashlib.md5. As a result, a local user with write access to a shared or world-writable cache_dir (e.g. /tmp/monai_cache, HPC scratch, ~/.cache/monai) can place a malicious pickle file that is deserialized the next time another user's MONAI pipeline reads the cache, resulting in arbitrary code execution in that user's context. All released versions of the monai pip package are affected; no patched version is available as of the advisory.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-28 13:54 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Project-MONAI MONAI Affected: 0 , ≤ 1.6.0 (semver)
    cpe:2.3:a:project-monai:monai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-08-21 00:00
Show details on NVD website

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CVE-2026-100512 (GCVE-0-2026-100512)

Vulnerability from cvelistv5 – Published: 2026-09-30 17:39 – Updated: 2026-09-30 17:59
VLAI
Title
WordPress Nested Pages plugin <= 3.3.2 - PHP Object Injection vulnerability
Summary
Contributor PHP Object Injection in Nested Pages <= 3.3.2 versions.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-30 17:57 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
References
Impacted products
Vendor Product Version
Hook & Filter Nested Pages Affected: n/a , ≤ 3.3.2 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-100308 (GCVE-0-2026-100308)

Vulnerability from cvelistv5 – Published: 2026-09-29 15:05 – Updated: 2026-09-30 15:28
VLAI
Title
GluonTS arbitrary command execution during model deserialization
Summary
Deserialization of untrusted data in the model loading component in Amazon GluonTS before 0.17.0 might allow context-dependent attackers to execute arbitrary operating system commands with the privileges of the loading process via a crafted serialized model directory. To remediate this issue, users should upgrade to version 0.17.0 or later.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-30 15:21 UTC
CWE
  • CWE-502 - Deserialization of untrusted data
  • CWE-470 - Use of Externally-Controlled input to select classes or code ('unsafe reflection')
Impacted products
Vendor Product Version
AWS gluonts Affected: 0 , < 0.17.0 (custom)
    cpe:2.3:a:aws:gluonts:*:*:*:*:*:*:*:*
Create a notification for this product.
Credits
Show details on NVD website

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CVE-2026-97869 (GCVE-0-2026-97869)

Vulnerability from cvelistv5 – Published: 2026-09-25 15:15 – Updated: 2026-09-25 16:37
VLAI
Title
langchain4j LangChain4j-agentic AgenticScopeJsonSerializationIT.java AgenticScopeSerializer.fromJson deserialization
Summary
A flaw has been found in langchain4j up to 1.5.3-beta10/1.11.10-beta18/1.18.1-beta27. This vulnerability affects the function AgenticScopeSerializer.fromJson of the file AgenticScopeJsonSerializationIT.java of the component LangChain4j-agentic. This manipulation causes deserialization. Remote exploitation of the attack is possible. The attack's complexity is rated as high. It is stated that the exploitability is difficult. The exploit has been published and may be used. Upgrading to version 1.5.3-beta11, 1.11.10-beta19 and 1.18.1-beta28 is able to resolve this issue. Upgrading the affected component is advised. The project maintainer kindly explains: "The issue was reported to us privately on 23 July 2026 and fixed in releases published on 29 July 2026. It is tracked as GHSA-gmwr-7wmf-mrjm. Exploitation requires an application to have enabled AgenticScope persistence, which is opt-in, and an attacker who can already write to that store. All maintained release lines have been patched."
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-25 16:37 UTC
CWE
Impacted products
Vendor Product Version
n/a langchain4j Affected: 1.5.3-beta10
Affected: 1.11.10-beta18
Affected: 1.18.1-beta27
Unaffected: 1.5.3-beta11
Unaffected: 1.11.10-beta19
Unaffected: 1.18.1-beta28
    cpe:2.3:a:langchain4j:langchain4j:*:*:*:*:*:*:*:*
Show details on NVD website

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CVE-2026-97865 (GCVE-0-2026-97865)

Vulnerability from cvelistv5 – Published: 2026-09-25 13:30 – Updated: 2026-09-25 13:46 X_Open Source
VLAI
Title
Open-Web-Analytics Remote Event Queue Endpoint queue.php loadFromArray deserialization
Summary
A security flaw has been discovered in Open-Web-Analytics up to 1.8.1. Affected is the function Event::loadFromArray of the file queue.php of the component Remote Event Queue Endpoint. Performing a manipulation results in deserialization. The attack can be initiated remotely. Upgrading to version 1.8.2 is able to address this issue. The patch is named 78c1222ec0e2119d84684032da1541120a2cdd23. The affected component should be upgraded.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-25 13:45 UTC
CWE
Impacted products
Vendor Product Version
n/a Open-Web-Analytics Affected: 1.8.0
Affected: 1.8.1
Unaffected: 1.8.2
    cpe:2.3:a:open-web-analytics:open-web-analytics:*:*:*:*:*:*:*:*
Show details on NVD website

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        {
          "lang": "en",
          "time": "2026-09-25T02:00:00.000Z",
          "value": "VulDB entry created"
        },
        {
          "lang": "en",
          "time": "2026-09-25T10:20:08.000Z",
          "value": "VulDB entry last update"
        }
      ],
      "title": "Open-Web-Analytics Remote Event Queue Endpoint queue.php loadFromArray deserialization",
      "x_generator": [
        "VulDB PVTS v202609"
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
    "assignerShortName": "VulDB",
    "cveId": "CVE-2026-97865",
    "datePublished": "2026-09-25T13:30:14.031Z",
    "dateReserved": "2026-09-25T08:15:02.345Z",
    "dateUpdated": "2026-09-25T13:46:05.336Z",
    "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.