Research
Security News
Malicious npm Packages Inject SSH Backdoors via Typosquatted Libraries
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
A python library for dropping stack frames.
This can be useful for removing decorators from stack traces, when using a framework with a lot of decorators.
Let's us write a small decorator for measuring the time it takes to call a function:
from time import perf_counter
def measure_time(func):
def wrapper(*args, **kwargs):
before = perf_counter()
result = func(*args, **kwargs)
after = perf_counter()
print(f"{func.__name__} took {after - before}s.")
return result
return wrapper
We can use it like this:
@measure_time
def foo(should_raise):
assert not should_raise
return 42
@measure_time
def bar(should_raise):
return foo(should_raise)
@measure_time
def baz(should_raise):
return bar(should_raise)
baz(False)
On my computer this prints:
foo took 2.2800122678745538e-07s.
bar took 3.576500057533849e-05s.
baz took 4.227000135870185e-05s.
Great. But what happens if we raise an error?
baz(True)
yields:
Traceback (most recent call last):
File "example.py", line 32, in <module>
baz(True)
File "example.py", line 7, in wrapper
result = func(*args, **kwargs)
File "example.py", line 28, in baz
return bar(should_raise)
File "example.py", line 7, in wrapper
result = func(*args, **kwargs)
File "example.py", line 23, in bar
return foo(should_raise)
File "example.py", line 7, in wrapper
result = func(*args, **kwargs)
File "example.py", line 17, in foo
assert not should_raise
AssertionError
Notice how every other line is the wrapper
from our decorator? If we have large codebase and it is
using a framework with a lot of decorators, this can make the stack traces hard to read, because
most of the frames are irrelevant decorators.
We can use the dropstackframe
library to rewrite our decorator:
from time import perf_counter
from dropstackframe import drop_stack_frame
def measure_time(func):
def wrapper(*args, **kwargs):
before = perf_counter()
try:
result = func(*args, **kwargs)
except Exception:
drop_stack_frame()
raise
after = perf_counter()
print(f"{func.__name__} took {after - before}s.")
return result
return wrapper
Now, if we get an error:
baz(True)
we get:
Traceback (most recent call last):
File "example2.py", line 37, in <module>
baz(True)
File "example2.py", line 33, in baz
return bar(should_raise)
File "example2.py", line 28, in bar
return foo(should_raise)
File "example2.py", line 22, in foo
assert not should_raise
AssertionError
and all the annoying wrapper
stack frames have been removed.
dropstackframe
Let's say you have a large codebase that uses dropstackframe
and one day you have a bug that is
really hard to find. In fact you start suspecting that the bug might be hidden by
drop_stack_frame
. You can use set_enable_drop_stack_frame
to disable drop_stack_frame
:
from dropstackframe import set_enable_drop_stack_frame
set_enable_drop_stack_frame(False)
baz(True)
set_enable_drop_stack_frame
can also be used as a context manager, if you only want to disable
drop_stack_frame
in a limited region of your code:
from dropstackframe import set_enable_drop_stack_frame
with set_enable_drop_stack_frame(False):
baz(True)
FAQs
A python package for removing stack frames from stack traces.
We found that dropstackframe demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer 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.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.