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.
$ pip install threadingbatch
from kthread_sleep import sleep # killing might not work with time.sleep ( pip install kthread-sleep )
import threadingbatch
import random
@threadingbatch.thread_capture # The threaded function must be decorated
def test(
testnumber, *args, **kwargs
): # a threaded function must have *args, **kwargs and can't have the keyword argument _starttime
print(f"start {testnumber}")
sleep(1)
v = random.randrange(1, 30)
print(f"end {testnumber}")
return v
flist = []
for ini, k in enumerate(range(20)): # creating 20 function calls
flist.append(
[
test, # function
(), # args
{"testnumber": ini}, # kwargs
f"function_{str(ini)}", # key in threadingbatch.results (must be unique and type str), the key can't have the name "done"
]
)
flistt = threadingbatch.start_all_threads(
flist,
threadtlimit=5, # number of simultaneously executed threads
timeout=4, # call Kthread.kill after n seconds
sleepafterkill=0.02, # sleep time after calling Kthread.kill
sleepafterstart=0.02, # sleep time after starting a thread
ignore_exceptions=False,
verbose=False,
)
while not threadingbatch.results[
"done"
]: # when all threads are done, threadingbatch.results['done'] changes to True
pass
sleep(0.1)
# output:
# start 0
# start 1
# start 2
# start 3
# start 4
# start 5
# end 0
# start 6
# end 1
# start 7
# end 2
# start 8
# end 3
# ....
print(threadingbatch.results)
# defaultdict(<function threadingbatch.<lambda>()>,
# {'done': True,
# 'function_19': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 11, 'realstart': 1673158006.740858}),
# 'function_18': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 23, 'realstart': 1673158006.4810376}),
# 'function_17': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 14, 'realstart': 1673158005.2808566}),
# 'function_16': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 1, 'realstart': 1673158005.1208546}),
# 'function_15': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 4, 'realstart': 1673158005.0807495}),
# 'function_14': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 23, 'realstart': 1673158004.7609262}),
# 'function_13': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 15, 'realstart': 1673158004.7207859}),
# 'function_12': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 4, 'realstart': 1673158004.5210721}),
# 'function_11': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 15, 'realstart': 1673158002.9808593}),
# 'function_10': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 4, 'realstart': 1673158002.941067}),
# 'function_9': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 20, 'realstart': 1673158002.9007895}),
# 'function_8': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 29, 'realstart': 1673158002.420729}),
# 'function_7': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 6, 'realstart': 1673158002.3609126}),
# 'function_6': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 16, 'realstart': 1673158002.3207767}),
# 'function_5': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 1, 'realstart': 1673158000.5775528}),
# 'function_4': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 18, 'realstart': 1673158000.5409462}),
# 'function_3': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 23, 'realstart': 1673158000.5010219}),
# 'function_2': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 14, 'realstart': 1673158000.4609187}),
# 'function_1': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 10, 'realstart': 1673158000.420832}),
# 'function_0': defaultdict(<function threadingbatch.<lambda>()>,
# {'results': 12, 'realstart': 1673158000.370694})})
FAQs
Thread batch with timeout - return values in dict
We found that threadingbatch 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.