| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The PooledInvokerServlet in JBoss EAP 4.x and 5.x allows remote attackers to execute arbitrary code via a crafted serialized payload. |
| Apache OpenMeetings before 3.1.2 is vulnerable to Remote Code Execution via RMI deserialization attack. |
| Apache Brooklyn uses the SnakeYAML library for parsing YAML inputs. SnakeYAML allows the use of YAML tags to indicate that SnakeYAML should unmarshal data to a Java type. In the default configuration in Brooklyn before 0.10.0, SnakeYAML will allow unmarshalling to any Java type available on the classpath. This could provide an authenticated user with a means to cause the JVM running Brooklyn to load and run Java code without detection by Brooklyn. Such code would have the privileges of the Java process running Brooklyn, including the ability to open files and network connections, and execute system commands. There is known to be a proof-of-concept exploit using this vulnerability. |
| Apache Camel's Jackson and JacksonXML unmarshalling operation are vulnerable to Remote Code Execution attacks. |
| Deserialization vulnerability in synophoto_csPhotoMisc.php in Synology Photo Station before 6.7.3-3432 and 6.3-2967 allows remote attackers to gain administrator privileges via a crafted serialized payload. |
| Adobe ColdFusion has an Untrusted Data Deserialization vulnerability. This affects Update 4 and earlier versions for ColdFusion 2016, and Update 12 and earlier versions for ColdFusion 11. |
| Adobe ColdFusion has an Untrusted Data Deserialization vulnerability. This affects Update 4 and earlier versions for ColdFusion 2016, and Update 12 and earlier versions for ColdFusion 11. |
| In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later. |
| The JMX server embedded in Apache James, also used by the command line client is exposed to a java de-serialization issue, and thus can be used to execute arbitrary commands. As James exposes JMX socket by default only on local-host, this vulnerability can only be used for privilege escalation. Release 3.0.1 upgrades the incriminated library. |
| The camel-hessian component in Apache Camel 2.x before 2.19.4 and 2.20.x before 2.20.1 is vulnerable to Java object de-serialisation vulnerability. De-serializing untrusted data can lead to security flaws. |
| The camel-castor component in Apache Camel 2.x before 2.19.4 and 2.20.x before 2.20.1 is vulnerable to Java object de-serialisation vulnerability. De-serializing untrusted data can lead to security flaws. |
| The Reporting Compatibility Add On before 2.0.4 for OpenMRS, as distributed in OpenMRS Reference Application before 2.6.1, does not authenticate users when deserializing XML input into ReportSchema objects. The result is that remote unauthenticated users are able to execute operating system commands by crafting malicious XML payloads, as demonstrated by a single admin/reports/reportSchemaXml.form request. |
| An exploitable vulnerability exists in the Databook loading functionality of Tablib 0.11.4. A yaml loaded Databook can execute arbitrary python commands resulting in command execution. An attacker can insert python into loaded yaml to trigger this vulnerability. |
| Previous versions of Apache Flex BlazeDS (4.7.2 and earlier) did not restrict which types were allowed for AMF(X) object deserialization by default. During the deserialization process code is executed that for several known types has undesired side-effects. Other, unknown types may also exhibit such behaviors. One vector in the Java standard library exists that allows an attacker to trigger possibly further exploitable Java deserialization of untrusted data. Other known vectors in third party libraries can be used to trigger remote code execution. |
| Revive Adserver before 4.0.1 allows remote attackers to execute arbitrary code via serialized data in the cookies related to the delivery scripts. |
| The AMF unmarshallers in Red5 Media Server before 1.0.8 do not restrict the classes for which it performs deserialization, which allows remote attackers to execute arbitrary code via crafted serialized Java data. |
| QOS.ch Logback before 1.2.0 has a serialization vulnerability affecting the SocketServer and ServerSocketReceiver components. |
| An issue was discovered in the node-serialize package 0.0.4 for Node.js. Untrusted data passed into the unserialize() function can be exploited to achieve arbitrary code execution by passing a JavaScript Object with an Immediately Invoked Function Expression (IIFE). |
| An issue was discovered in the serialize-to-js package 0.5.0 for Node.js. Untrusted data passed into the deserialize() function can be exploited to achieve arbitrary code execution by passing a JavaScript Object with an Immediately Invoked Function Expression (IIFE). |
| The JIRA Workflow Designer Plugin in Atlassian JIRA Server before 6.3.0 improperly uses an XML parser and deserializer, which allows remote attackers to execute arbitrary code, read arbitrary files, or cause a denial of service via a crafted serialized Java object. |
