hwpwn
A user-friendly tool designed to facilitate hardware security attacks. The aim is to provide a simple interface with commands that cover multiple steps typically involved in hardware security attacks. Plus, it makes repeating attacks or changing details very easy, so you can quickly see what happens when you tweak something.
Quickstart
First install the package with pip:
$ pip install hwpwn --user
The hwpwn has multiple commands which can be called in chain, using shell pipe. Alternatively, you can write a flow YAML file which has the commands described in textual format and run the flow with hwpwn client.
Create a dummy data file:
$ cat <<EOF > test.csv
t,a,b,c
1,3,3,4
2,3,4,5
3,9,2,1
EOF
To use in piped commands one can, for example:
$ hwpwn data load test.csv | hwpwn data subtract a b ab --append | cat
{"x_axis": [1.0, 2.0, 3.0], "signals": [{"name": "a", "vector": [3.0, 3.0, 9.0]},
{"name": "b", "vector": [3.0, 4.0, 2.0]}, {"name": "c", "vector": [4.0, 5.0, 1.0]},
{"name": "ab", "vector": [-1.0, -2.0, 8.0]}], "triggers": [], "ts": 1}
If we wanted to execute these commands in a flow, we needed to create a flow YAML, let's say, my_flow.yaml:
---
options:
scale: 1e-6
ts: 4e-9
description: |
My long description. It can take a single line or multiple lines.
Line number two.
operations:
- data.load:
filepath: test.csv
- data.subtract:
pos: a
neg: b
dest: ab
append: true
Now run hwpwn with:
$ hwpwn --verbose flow run test.yaml | cat
INFO: trying to load file test.csv ...
INFO: loaded 3 datapoints from test.csv.
INFO: found signal a
INFO: found signal b
INFO: found signal c
INFO: using sampling period of 4.0e-09 [s].
INFO: calculating signal subtract ab = a - b (append=True)
{"x_axis": [1.0, 2.0, 3.0], "signals": [{"name": "a", "vector": [3.0, 3.0, 9.0]},
{"name": "b", "vector": [3.0, 4.0, 2.0]}, {"name": "c", "vector": [4.0, 5.0, 1.0]},
{"name": "ab", "vector": [0.0, -1.0, 7.0]}], "triggers": [], "ts": 4e-09}
I've used the --verbose flag which will make it show what is happening. If you don't pipe the output of hwpwn,
it will not show the final data to avoid flooding the console. Thus, I've used a piped cat command.
Documentation
The documentation is built with Sphinx and deployed in Github Pages. The URL is https://jemos.github.io/hwpwn.
Final Words
This project is currently in its early stages of development, and as such, it may not be as comprehensive or polished as desired. However, it is a work in progress, and future enhancements are expected to improve its functionality and usability in hardware security analysis. Users are encouraged to provide feedback and contribute to the project's growth and refinement.
Next Features...
Things I'd like to add in the future...
scopecommands for interacting with USB osciloscopesspacommands for simple power analysisdpacommands for differential power analysiscpacommands for correlation power analysis
Metadata
Release files for hwpwn 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hwpwn-0.1.2.tar.gz | 20.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hwpwn-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.1 kB
Release files / hwpwn-0.1.2.tar.gz
| Download URL | hwpwn-0.1.2.tar.gz |
|---|---|
| Size | 20.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e4be7a9e4f3884005edb9790c487f2d8b628b5c6b62c926911703fb73f27d5c3
|
|
BLAKE2b-256 checksum How to use checksums |
72cc387eccdea582e818689c318c12109415182af5f3dc9be58cc1d00caf47cd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.2
|
Release files / hwpwn-0.1.2-py3-none-any.whl
| Download URL | hwpwn-0.1.2-py3-none-any.whl |
|---|---|
| Size | 20.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8a922e2c938f13f8d98fe1c02d2b45743063a78697ad855882036c0075573979
|
|
BLAKE2b-256 checksum How to use checksums |
cd59a5518022221949aa1a391626858173e0247e789f2c5de2a34c31c907cb0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.2
|
Security for hwpwn 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.