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Before you can tackle the complex security issues around .NET Remoting, it would be helpful to take a moment to dig into the architecture itself. A solid understanding of how remoting works is key to identifying security issues within it.
To understand remoting, it’s helpful to review the technologies you’ve been using up until now, namely the Component Object Model (COM). This will also help you compare the security issues in both COM and .NET. In the COM world, basically two kinds of server objects can be used by clients: in-process and out-of-process. In-process COM objects, like ActiveX dynamic link libraries (DLLs) or ActiveX Controls, are created, used, and destroyed within the same process as the client. The client has direct access to the object since it resides within the same process. Out-of-process objects, like ActiveX EXEs, are created and run within a separate process from the client. If the out-of-process object is running on a machine other than the client’s, then COM uses the Distributed Component Object Model (DCOM) to communicate to it. By the rules of the operating system, a client does not have direct access to an object running in a separate process. Instead, all calls to the object are marshaled via a proxy object.
The .NET architecture is very similar to that of COM with one major difference: AppDomains. Applications in .NET don’t necessarily run in separate dedicated processes; they run in an AppDomain, which provides more of a logical application boundary than a physical one. Depending on the application type, you can have multiple AppDomains running in a single process. Therefore, the .NET equivalent of an in-process object is an object that the client uses that runs within the same AppDomain as the client. And like an in-process COM object, the client has direct access to this type of object. However, if the client uses an object that is running in a different AppDomain, even if that AppDomain is running in the same process, then by the rules of the .NET common language runtime (CLR), the client cannot have direct access to that object. This scenario is functionally equivalent to COM’s out-of-process object. In .NET, the only way to communicate with that object is with remoting. Therefore, remoting is technically defined as the mechanism by which one AppDomain accesses objects in another. This means that remoting is not only used for object communication from one machine to another, but also from one process to another within the same machine, and even within the same process. This is the case because more than one AppDomain can exist in a process.
The type of remoting that requires the most security considerations is machine-to-machine. Interposes and inter-AppDomain remoting is much safer since it involves no network communication.
Tags: .NET, remoting, Remoting in .NET Security, security
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Remoting is mostly used to allow one machine to communicate with an application on another across a private network or even across a public network like the Internet. In all cases, security is a very real issue. Your application communicates data across a wire while a server listens for client requests. Both of these scenarios introduce numerous security situations that, if left unaddressed, can jeopardize the success of any distributed application (and the enterprise in which the application runs).
Tags: .NET Security
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Highlights:
When you’re thinking about writing a distributed application in .NET, your options are .NET Remoting and XML Web services. XML Web services are ideal for applications that need to interoperate with other platforms. Its transport protocol is in strict adherence with the Simple Object Access Protocol (SOAP) specification, so any client that can talk SOAP can talk to a .NET XML Web service. However, this adherence limits some of the distributed capabilities of XML Web service objects. Enter .NET Remoting.
Remoting is used for pure .NET object communication and has several benefits over XML Web services, including performance, remote object activation flexibility, and full by-value object serialization across the wire. And like XML Web services, .NET Remoting allows you to programmatically extend many parts of the remoting infrastructure to service your unique requirements.
Tags: Remoting and Security
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Whenever components are assembled to perform a common task, there is always an implicit contract between them about the terms of the collaboration. In order to be able to verify the correctness of a configuration, the contracts need to be made explicit and to be compared for eventual discrepancies. This issue can be addressed by a type system. However, conventional type systems cannot capture in general all the aspects of a contract, because of their limited expressiveness. Two approaches can be taken for dealing with this problem. One approach, taken by Meyer in the Eiffel language , is to enrich the interfaces
of components with additional constraints expressing the expectations and promises of each partner in the contract. Part of the constraints are checked by the type system, and part of them are verified at run-time, each time that an actual collaboration (control passing) between two components takes place. The other approach is to improve the expressiveness of type systems. Much research has been done in this direction, especially in the area of functional programming languages. Polymorphic type inference in languages such
as ML or Haskell actually provides a level of security that is much higher than in a traditional language like Pascal, without putting any additional burden on the programmer. However, as soon as one leaves the functional model, such results are no longer applicable: in systems with blackboard composition (imperative programming languages, concurrent systems) one cannot infer much type information. As far as object systems are concerned, this is still an open question, examined in detail in a survey by Fisher and
Mitchell. The addition of sub typing makes both type inference and type checking considerably harder, so despite important progress made over the recent years, no object oriented language with an ML-like type system has yet been developed.
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The main issue for reuse at the object level is that concurrency in an object-oriented language should not diminish the benefits of object-based features with respect to reuse. For instance, encapsulation should still protect the internal state of objects from surrounding objects and it should still be possible to insulate objects’ clients from implementation choices. This should make it possible to change the implementations without affecting the clients provided that the interfaces are maintained and that changes are, in some sense, behaviourally compatible.
Object-oriented and concurrent programming have different aims that incur different software structuring paradigms. Object-oriented programming aims at the decomposition of software into self-contained objects to achieve higher software quality and to promote reusability. Concurrent programming aims at expressing and controlling the execution, synchronization and communication of conceptually parallel activities. Its primary goal is to provide notations that are suitable for devising solutions to problems that involve the coordination of concurrent activities.
In order to compare language designs it is necessary to adopt a programming model for concurrent object-based programming and evaluate how well the various languages support this model. Our view regarding the way the two programming paradigms should be combined is by structuring programs as cooperating objects that exchange messages. This is similar to the way sequential object-oriented programs are structured, however, in concurrent programs objects may encapsulate one or more concurrent threads that implement their behavior. Moreover, the operations of an object may be invoked by concurrently executing objects.
