Vulnerabilities (CVE)

Filtered by CWE-502
Total 3251 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2024-38023 1 Microsoft 1 Sharepoint Server 2026-06-17 N/A 7.2 HIGH
Microsoft SharePoint Server Remote Code Execution Vulnerability
CVE-2024-38018 1 Microsoft 1 Sharepoint Server 2026-06-17 N/A 8.8 HIGH
Microsoft SharePoint Server Remote Code Execution Vulnerability
CVE-2024-37502 1 Wpwebelite 1 Woocommerce Social Login 2026-06-17 N/A 5.4 MEDIUM
Deserialization of Untrusted Data vulnerability in wpweb WooCommerce Social Login woo-social-login.This issue affects WooCommerce Social Login: from n/a through <= 2.6.3.
CVE-2024-37361 2026-06-17 N/A 9.9 CRITICAL
The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid. (CWE-502)   Hitachi Vantara Pentaho Business Analytics Server versions before 10.2.0.0 and 9.3.0.9, including 8.3.x, deserialize untrusted JSON data without constraining the parser to approved classes and methods.   When developers place no restrictions on "gadget chains," or series of instances and method invocations that can self-execute during the deserialization process (i.e., before the object is returned to the caller), it is sometimes possible for attackers to leverage them to perform unauthorized actions.
CVE-2024-37288 1 Elastic 1 Kibana 2026-06-17 N/A 9.9 CRITICAL
A deserialization issue in Kibana can lead to arbitrary code execution when Kibana attempts to parse a YAML document containing a crafted payload. This issue only affects users that use Elastic Security’s built-in AI tools https://www.elastic.co/guide/en/security/current/ai-for-security.html  and have configured an Amazon Bedrock connector https://www.elastic.co/guide/en/security/current/assistant-connect-to-bedrock.html .
CVE-2024-37285 1 Elastic 1 Kibana 2026-06-17 N/A 9.1 CRITICAL
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
CVE-2024-37099 1 Givewp 1 Givewp 2026-06-17 N/A 10.0 CRITICAL
Deserialization of Untrusted Data vulnerability in Liquid Web GiveWP allows Object Injection.This issue affects GiveWP: from n/a through 3.14.1.
CVE-2024-37065 2026-06-17 N/A 7.8 HIGH
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.
CVE-2024-37064 2026-06-17 N/A 7.8 HIGH
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.
CVE-2024-37062 2026-06-17 N/A 7.8 HIGH
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.
CVE-2024-37060 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
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.
CVE-2024-37059 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
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.
CVE-2024-37058 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
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.
CVE-2024-37057 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
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.
CVE-2024-37056 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
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.
CVE-2024-37055 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37054 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37053 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37052 1 Lfprojects 1 Mlflow 2026-06-17 N/A 8.8 HIGH
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-36984 1 Splunk 1 Splunk 2026-06-17 N/A 8.8 HIGH
In Splunk Enterprise versions below 9.2.2, 9.1.5, and 9.0.10 on Windows, an authenticated user could execute a specially crafted query that they could then use to serialize untrusted data. The attacker could use the query to execute arbitrary code.