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.
4841 vulnerabilities reference this CWE, most recent first.
CVE-2024-37285 (GCVE-0-2024-37285)
Vulnerability from cvelistv5 – Published: 2024-11-14 16:49 – Updated: 2024-11-14 18:48
VLAI
EPSS
VEX
Title
Kibana arbitrary code execution via YAML deserialization
Summary
A deserialization issue in Kibana can lead to arbitrary code execution when Kibana attempts to parse a YAML document containing a crafted payload. A successful attack requires a malicious user to have a combination of both specific Elasticsearch indices privileges https://www.elastic.co/guide/en/elasticsearch/reference/current/defining-roles.html#roles-indices-priv and Kibana privileges https://www.elastic.co/guide/en/fleet/current/fleet-roles-and-privileges.html assigned to them.
The following Elasticsearch indices permissions are required
* write privilege on the system indices .kibana_ingest*
* The allow_restricted_indices flag is set to true
Any of the following Kibana privileges are additionally required
* Under Fleet the All privilege is granted
* Under Integration the Read or All privilege is granted
* Access to the fleet-setup privilege is gained through the Fleet Server’s service account token
Severity
9.1 (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
Impacted products
Date Public
2024-09-05 15:42
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CVE-2024-37099 (GCVE-0-2024-37099)
Vulnerability from cvelistv5 – Published: 2024-08-19 16:51 – Updated: 2026-04-28 16:09
VLAI
EPSS
VEX
Title
WordPress GiveWP plugin <= 3.14.1 - Unauthenticated PHP Object Injection vulnerability
Summary
Deserialization of Untrusted Data vulnerability in Liquid Web GiveWP allows Object Injection.This issue affects GiveWP: from n/a through 3.14.1.
Severity
10 (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://patchstack.com/database/vulnerability/giv… | vdb-entry |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Liquid Web | GiveWP |
Affected:
n/a , ≤ 3.14.1
(custom)
|
|
| liquidweb | givewp |
Affected:
0 , ≤ 3.14.1
(custom)
cpe:2.3:a:liquidweb:givewp:*:*:*:*:*:*:*:* |
Credits
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CVE-2024-37065 (GCVE-0-2024-37065)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:03 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded.
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
1 reference
Impacted products
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CVE-2024-37064 (GCVE-0-2024-37064)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:03 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| YdataAI | ydata-profiling |
Affected:
3.7.0 , ≤ *
(semver)
|
|
| ydataai | ydata-profiling |
Affected:
0 , ≤ 3.7.0
(semver)
cpe:2.3:a:ydataai:ydata-profiling:*:*:*:*:*:*:*:* |
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CVE-2024-37062 (GCVE-0-2024-37062)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:02 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
2 products
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|---|---|---|---|
| YdataAI | ydata-profiling |
Affected:
3.7.0 , ≤ *
(semver)
|
|
| ydataai | ydata-profiling |
Affected:
0 , ≤ 3.7.0
(semver)
cpe:2.3:a:ydataai:ydata-profiling:*:*:*:*:*:*:*:* |
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CVE-2024-37060 (GCVE-0-2024-37060)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:02 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run.
Severity
8.8 (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
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| MLflow | MLflow |
Affected:
1.27.0 , ≤ *
(semver)
|
|
| lfprojects | mlflow |
Affected:
1.27.0 , ≤ *
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CVE-2024-37059 (GCVE-0-2024-37059)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with.
Severity
8.8 (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
Impacted products
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CVE-2024-37058 (GCVE-0-2024-37058)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| MLflow | MLflow |
Affected:
2.5.0 , ≤ *
(semver)
|
|
| lfprojects | mlflow |
Affected:
2.5.0
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CVE-2024-37057 (GCVE-0-2024-37057)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| MLflow | MLflow |
Affected:
2.0.0rc0 , ≤ *
(semver)
|
|
| lfprojects | mlflow |
Affected:
2.0.0rc0 , ≤ *
(semver)
cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* |
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CVE-2024-37056 (GCVE-0-2024-37056)
Vulnerability from cvelistv5 – Published: 2024-06-04 12:01 – Updated: 2024-08-02 03:43
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Severity
8.8 (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
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| MLflow | MLflow |
Affected:
1.23.0 , ≤ *
(semver)
|
|
| lfprojects | mlflow |
Affected:
1.23.0 , < *
(custom)
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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.