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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Python strict tag
pip install pystrict
Using @strict on classes can prevent serious errors by raising an exception when an instance has a variable created outside of init. Unfortunately, linters don't (cannot) always catch this. I can't express how much time this has saved me recently.
Using @strict on functions only checks type specifiers.
Example:
from pystrict import strict
# not allowed, missing type specifier
@strict
def foo(x: int, y):
...
# not allowed, missing type specifier in __init__
@strict
class Foo():
def __init__(self, x: int, y):
...
# not allowed, object modified outside of init
@strict
class Foo():
def __init__(self, x: int):
self.x = 1
# mypy and pytest won't check this
def evil():
return list({'a':Foo(1)}.values())
z = evil()
z[0].y = 4
FAQs
## strict
We found that pystrict demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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