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The object-capability model is a computer security model. A capability describes a transferable right to perform one (or more) operations on a given object. It can be obtained by the following combination:
- an unforgeable reference (in the sense of object references or protected pointers) that can be sent in messages.
- a message that specifies the operation to be performed.
The security model relies on not being able to forge references.
- Objects can interact only by sending messages on references.
- A reference can be obtained by:
- initial conditions: In the initial state of the computational world being described, object A may already have a reference to object B.
- parenthood: If A creates B, at that moment A obtains the only reference to the newly created B.
- endowment: If A creates B, B is born with that subset of A's references with which A chose to endow it.
- introduction: If A has references to both B and C, A can send to B a message containing a reference to C. B can retain that reference for subsequent use.
In the Object-capability model, all computation is performed following the above rules.
Advantages that motivate object-oriented programming, such as encapsulation or information hiding, modularity, and separation of concerns, correspond to security goals such as least privilege and privilege separation in capability-based programming.  
Loopholes in object-oriented programming languages
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Advantages of object capabilities
The structural properties of object capability systems favor modularity in code design and ensure reliable encapsulation in code implementation.
These structural properties facilitate the analysis of some security properties of an object-capability program or operating system. Some of these — in particular, information flow properties — can be analyzed at the level of object references and connectivity, independent of any knowledge or analysis of the code that determines the behavior of the objects. As a consequence, these security properties can be established and maintained in the presence of new objects that contain unknown and possibly malicious code.
These structural properties stem from the two rules governing access to existing objects:
- 1) An object A can send a message to B only if object A holds a reference to B.
- 2) An object A can obtain a reference to C only if object A receives a message containing a reference to C.
As a consequence of these two rules, an object can obtain a reference to another object only through a preexisting chain of references. In short, "Only connectivity begets connectivity."
- object-capability system
- A computational system that implements principles described in this article.
- An object has local state and behavior. An object in this sense is both a subject and an object in the sense used in the access control literature.
- An unforgeable communications channel (protected pointer, opaque address) that unambiguously designates a single object, and provides permission to send messages to that object.
- What is sent on a reference. Depending on the system, messages may or may not themselves be first-class objects.
- An operation in which a message is sent on a reference. When the message is received, the receiver will have access to any references included in the message.
- A common design pattern in object-capability systems: given one reference of an object, create another reference for a proxy object with certain security restrictions, such as only permitting read-only access or allowing revocation. The proxy object performs security checks on messages that it receives and passes on any that are allowed. Deep attenuation refers to the case where the same attenuation is applied transitively to any objects obtained via the original attenuated object, typically by use of a "membrane".
Almost all historical systems that have been described as "capability systems" can be modeled as object-capability systems. (Note, however, that some uses of the term "capability" are not consistent with the model, such as POSIX "capabilities".)
Languages that implement object capabilities
- Act 1 (1981) 
- Eden (1985),
- Vulcan (1986),
- Emerald (1987),
- Trusty Scheme (1992),
- W7 (1995),
- Joule (1996),
- Original-E (1997),
- E (1998),
- J-Kernel (1999),
- Oz-E (2005),
- Joe-E (2005),
- CaPerl (2006),
- Emily (2006)
- Caja (2007 — present)
- Pony (2015)
Relationship of the object-capability model and the Actor model
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There are a few differences between the object-capability model and the Actor model.
- Since object-capability systems differ regarding concurrency control, storage management, equality, typing, the primitiveness of messages, and the ordering of message delivery, the object-capability model by itself is neutral on these issues. By contrast, the Actor model does specify some of these elements. In this sense, the object-capability model corresponds most directly to the Actor locality laws taken by themselves. In particular there are the following differences:
- concurrency control
- storage management
- primitiveness of messages
- ordering of message delivery
- The object-capability model requires a loader (eval, exec) having the property of "loader isolation". A loader loads data describing behavior (code, script, lambda expression) together with an initial state (c-list, environment, instance variable frame, acquaintances) to create a new object. A loader obeys loader isolation if the new object's only initial references are from the explicitly provided state, with no implicit grants by the loader itself. On the other hand, the Actor model simply requires that loaders, evaluators, etc. obey the laws for actors. The Java ClassLoader violates loader isolation, making confinement of unexamined loaded code impossible.
- There are minor differences in the preferred terminology used for the two models (see "Glossary of related terms" above).
Of course, some systems have all the properties required by both models, and so are both object-capability systems and Actor systems.
- Miller, Mark Samuel (May 2006). "Robust Composition: Towards a Unified Approach to Access Control and Concurrency Control". erights.org. Baltimore, Maryland. Retrieved 28 July 2013.
- Mark S. Miller; Ka-Ping Yee; Jonathan S. Shapiro (2003). "Capability Myths Demolished" (PDF). Technical Report SRL2003-02. Systems Research Lab, Johns Hopkins University.
-  citing: J.B. Dennis, E.C. Van Horn. “Programming Semantics for Multiprogrammed Computations.” Communications of the ACM, 9(3):143–155, March 1966.
- Henry Lieberman (June 1981). "A Preview of Act 1". MIT AI memo 625.
- Henry Lieberman (June 1981). "Thinking About Lots of Things at Once without Getting Confused: Parallelism in Act 1". MIT AI memo 626.