angr provides program analysis techniques including symbolic execution for native software. Choose it when a bounded path question can be expressed with concrete input and state assumptions. Its results depend on models of the environment, libraries and constraints. Validate any found path against the actual binary or a controlled run rather than treating solver output as observed behavior.
Define the state
Specify the entry point, input bytes, environment assumptions and path condition. Small functions and known test programs make it easier to see whether the model matches reality.
Limits
Path explosion and unsupported external behavior can make a result incomplete or misleading. A satisfiable constraint is evidence about the model; reproduction establishes whether the target follows the proposed path.
Requirements & evidence
- Resource type
- Tool
- Category
- Symbolic execution
- Host platforms
- Unknown
- Targets
- native
- Level
- Unknown
- Price / availability
- Unknown
- License
- BSD-2-Clause
- Interface
- Unknown
- Input formats
- Unknown
- Architectures
- Unknown
- REA integration
- Unknown
- MCP support
- Unknown
- Maintenance
- Unknown
- Repository activity
- 2026-11-02T18:35:33Z
- Archived
- No
- Source checked
- 2026-11-03T04:27:29.699261+00:00
Repository: Official repository
Primary sources
- https://api.github.com/repos/angr/angr
- https://raw.githubusercontent.com/angr/angr/master/README.md
- https://raw.githubusercontent.com/angr/angr/master/LICENSE
Source descriptions establish documented scope. They do not establish that every workflow has been reproduced by AI Craft Pad.