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https://github.com/ex0dus-0x/confine
Small container runtime for threat detection
https://github.com/ex0dus-0x/confine
rust security
Last synced: 27 days ago
JSON representation
Small container runtime for threat detection
- Host: GitHub
- URL: https://github.com/ex0dus-0x/confine
- Owner: ex0dus-0x
- Created: 2019-09-09T02:21:59.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-12-04T20:42:41.000Z (about 3 years ago)
- Last Synced: 2024-11-03T14:35:06.729Z (2 months ago)
- Topics: rust, security
- Language: Rust
- Homepage:
- Size: 270 KB
- Stars: 11
- Watchers: 3
- Forks: 2
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-rust-security - confine - sandbox for threat detection (Threat Detection and Forensics / Packing, Obfuscation, Encryption, Anti-analysis)
README
confine
Containers, but for dynamic malware analysis
[![Actions][actions-badge]][actions-url]
[actions-badge]: https://github.com/ex0dus-0x/confine/workflows/CI/badge.svg?branch=master
[actions-url]: https://github.com/ex0dus-0x/confine/actions
__confine__ is a container runtime for dynamically analyzing suspicious executables. Given a sample suspected of being malware, __confine__ will create a container mount,
dynamically trace it, and report back to you what threat indicators it has been able to find. No more clunky sandboxes and VMs!
## Features
* __Threat Detection__ - identifies common malware capabilities and behaviors using dynamic tracing!
* __Automated Builds__ - use `Confinement` policies to quickly provision an environment, and share it with other threat analysts!
* __Syscall Filtering__ - enforce rules upon system call behaviors to log metrics or block malicious behavior!
## Usage
### Installing
To install `confine`, use `cargo`:
```
$ cargo install confine
```
### Running an Analysis
To dynamically analyze a sample, we must first create a workspace with a `Confinement` policy to
specify how our containerized environment will be provisioned. __confine__ can automatically do that for us:
```
$ confine new workspace/
```
Having a workspace is good for compartmentalizing other necessary dependencies that is used in the
container, whether its a locally built image, source code, configurations, etc.
A `Confinement` is __confine__'s version of a `Dockerfile`, but for provisioning container environments for tracing an executable.
See the [example here](https://github.com/ex0dus-0x/confine/blob/master/examples/simple/Confinement) for more details on how to configure it,
and set up syscall filtering rules as well.
Once everything is set, we can now execute an analysis! __confine__ will not only run a dynamic trace, but will also employ its set of detections
during execution, outputting the behaviors it encoutners in the end:
```
$ confine exec workspace/
a.out example.c
Caught the debugger!
intelligent-rest-5105
[2021-02-19T04:21:56Z ERROR confine::trace::subprocess] confine: [BLOCK] encountered syscall exit_group
{
"syscalls": [
"brk",
"access",
"mmap",
"access",
"open",
"fstat",
"mmap",
"close",
"access",
"open",
"read",
"fstat",
"mmap",
"mprotect",
"mmap",
"mmap",
"close",
"mmap",
"mmap",
"arch_prctl",
"mprotect",
"mprotect",
"mprotect",
"munmap",
"ptrace",
"fstat",
"mmap",
"write",
"uname",
"write"
],
"strings": [
"Caught the debugger!\n",
"intelligent-rest-5105\n"
],
"networking": [],
"file_io": {
"/lib/x86_64-linux-gnu/libc.so.6": "524288",
"/etc/ld.so.cache": "524288"
},
"commands": [],
"capabilities": {
"evasion": {
"stalling": false,
"antidebug": true,
"antisandbox": false,
"process_infect": false
},
"persistence": {
"init_persistence": false,
"time_persistence": false,
"config_persistence": false
},
"deception": false
}
}
```
## License
[MIT License](https://codemuch.tech/docs/license.txt)