Trenchcoat
This is a super simple package, created following the packaging projects tutorial.
It just contains a function to add 1 to an input number.
The objective of this package is to be used in security research, trying to create situations where it is added to projects unbeknownst to their developers.
Check github.com/vicenteherrera/starter-ml for more information.
Visit my webpage vicenteherrera.com to learn more about my work on cybersecurity, Kubernetes and AI.
1 maintainer
Metadata
1 maintainer
Release files for trenchcoat 0.0.2
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 | Actions |
|---|---|---|---|---|
| trenchcoat-0.0.2.tar.gz | 1.9 kB | Without provenance | Details for trenchcoat-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| trenchcoat-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for trenchcoat-0.0.2-py3-none-any.whl |
Total release size: 4.5 kB
Release files / trenchcoat-0.0.2.tar.gz
| Download URL | trenchcoat-0.0.2.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.11.6
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Release files / trenchcoat-0.0.2-py3-none-any.whl
| Download URL | trenchcoat-0.0.2-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
047b595cec484792a2c5fb15c4ea24fb3fed34f37e1b236e525f96c041be8e3c
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BLAKE2b-256 checksum How to use checksums |
33efaa7dfb7c3346167c47f9c5879e608829440a26b1a825c75e19925af70f3b
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.11.6
|
Security for trenchcoat 0.0.2
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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