================
@@ -0,0 +1,598 @@
+========================
+Lifetime Safety Analysis
+========================
+
+.. contents::
+   :local:
+
+Introduction
+============
+
+Clang Lifetime Safety Analysis is a C++ language extension which warns about
+potential dangling pointer defects in code. The analysis aims to detect
+when a pointer, reference or view type (such as ``std::string_view``) refers 
to an object
+that is no longer alive, a condition that leads to use-after-free bugs and
+security vulnerabilities. Common examples include pointers to stack variables
+that have gone out of scope, fields holding views to stack-allocated objects
+(dangling-field), returning pointers/references to stack variables 
+(return stack address) or iterators into container elements invalidated by
+container operations (e.g., ``std::vector::push_back``)
+
+The analysis design is inspired by `Polonius, the Rust borrow checker 
<https://github.com/rust-lang/polonius>`_,
+but adapted to C++ idioms and constraints, such as the lack of borrow checker 
exclusivity (alias-xor-mutability). 
+Further details on the analysis method can be found in the `RFC on Discourse 
<https://discourse.llvm.org/t/rfc-intra-procedural-lifetime-analysis-in-clang/86291/>`_.
+
+This is compile-time analysis; there is no run-time overhead. 
+It tracks pointer validity through intra-procedural data-flow analysis, 
supporting a form of gradual typing. While it does
+not require lifetime annotations to get started, in their absence, the analysis
+treats function calls with opaque semantics, potentially missing dangling 
pointer issues or producing false positives. As more functions are annotated
+with attributes like ``[[clang::lifetimebound]]``, ``[[gsl::Owner]]``, and
+``[[gsl::Pointer]]``, the analysis can see through these contracts and enforce
+lifetime safety at call sites with higher accuracy. This approach supports
+gradual adoption in existing codebases. It is still very much under active 
development,
+but it is mature enough to be used in production codebases.
+
+Getting Started
+----------------
+
+.. code-block:: c++
+
+  #include <string>
+  #include <string_view>
+
+  void simple_dangle() {
+    std::string_view v;
+    {
+      std::string s = "hello";
+      v = s;  // warning: object whose reference is captured does not live 
long enough
+    }         // note: destroyed here
+    std::cout << v; // note: later used here
+  }
+
+This example demonstrates
+a basic use-after-scope bug. The ``std::string_view`` object ``v`` holds a
+reference to ``s``, a ``std::string``. When ``s`` goes out of
+scope at the end of the inner block, ``v`` becomes a dangling reference.
+The analysis flags the assignment ``v = s`` as defective because ``s`` is
+destroyed while ``v`` is still alive and points to ``s``, and adds a note
+to where ``v`` is used after ``s`` has been destroyed.
+
+Running The Analysis
+--------------------
+
+To run the analysis, compile with the ``-Wlifetime-safety`` flag, e.g.
+
+.. code-block:: bash
+
+  clang -c -Wlifetime-safety example.cpp
+
+This flag enables a core set of lifetime safety checks. For more fine-grained
+control over warnings, see :ref:`warning_flags`.
+
+Lifetime Annotations
+====================
+
+While lifetime analysis can detect many issues without annotations, its
+precision increases significantly when types and functions are annotated with
+lifetime contracts. These annotations clarify ownership semantics and lifetime
+dependencies, enabling the analysis to reason more accurately about pointer
+validity across function calls.
+
+Owner and Pointer Types
+-----------------------
+
+Lifetime analysis distinguishes between types that own the data they point to
+(Owners) and types that are non-owning views or references to data owned by
+others (Pointers). This distinction is made using GSL-style attributes:
+
+*   ``[[gsl::Owner]]``: For types that manage the lifetime of a resource,
+    like ``std::string``, ``std::vector``, ``std::unique_ptr``.
+*   ``[[gsl::Pointer]]``: For non-owning types that borrow resources,
+    like ``std::string_view``, ``gsl::span``, or raw pointers (which are
+    implicitly treated as pointers).
+
+Many common STL types, such as ``std::string_view`` and container iterators,
+are automatically recognized as Pointers or Owners. You can annotate your own
+types using these attributes:
+
+.. code-block:: c++
+
+  #include <string>
+  #include <string_view>
+
+  // Owner type
+  struct [[gsl::Owner]] MyObj {
+    std::string Data = "Hello";
+  };
+
+  // View type
+  struct [[gsl::Pointer]] View {
+    std::string_view SV;
+    View() = default;
+    View(const MyObj& O) : SV(O.Data) {}
+    void use() const {}
+  };
+
+  void test() {
+    View v;
+    {
+      MyObj o;
+      v = o; // warning: object whose reference is captured does not live long 
enough
+    }        // note: destroyed here
+    v.use(); // note: later used here
+  }
+
+Without these annotations, the analysis may not be able to determine whether a
+type is owning or borrowing, which can affect analysis precision. For more
+details on these attributes, see the Clang attribute reference for
+`gsl::Owner <https://clang.llvm.org/docs/AttributeReference.html#gsl-owner>`_ 
and
+`gsl::Pointer 
<https://clang.llvm.org/docs/AttributeReference.html#gsl-pointer>`_.
+
+LifetimeBound
----------------
Xazax-hun wrote:

I think these are separable. The attribute documentation should describe the 
semantics captured by the annotation, while the analysis documentation should 
describe how the analysis behaves. I guess it is fine if we have a 
primer/reminder of the semantics before diving deep into the analysis behavior 
to make this more self contained. 

https://github.com/llvm/llvm-project/pull/183058
_______________________________________________
cfe-commits mailing list
[email protected]
https://lists.llvm.org/cgi-bin/mailman/listinfo/cfe-commits

Reply via email to