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 product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Spark | Apache | 1.6.0 (including) | 1.6.0 (including) |
| Spark | Apache | 1.6.1 (including) | 1.6.1 (including) |
| Spark | Apache | 1.6.2 (including) | 1.6.2 (including) |
| Spark | Apache | 1.6.3 (including) | 1.6.3 (including) |
| Spark | Apache | 2.0.0 (including) | 2.0.0 (including) |
| Spark | Apache | 2.0.1 (including) | 2.0.1 (including) |
| Spark | Apache | 2.0.2 (including) | 2.0.2 (including) |
| Spark | Apache | 2.1.0 (including) | 2.1.0 (including) |
| Spark | Apache | 2.1.1 (including) | 2.1.1 (including) |
It is often convenient to serialize objects for communication or to save them for later use. However, deserialized data or code can often be modified without using the provided accessor functions if it does not use cryptography to protect itself. Furthermore, any cryptography would still be client-side security – which is a dangerous security assumption. Data that is untrusted can not be trusted to be well-formed. 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, like generating a shell.