memory leak using scapy sessions
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Currently experiencing high memory usage by scapy 2.4.0 on python 2.7 running on centos 7.4
originally I thought it was due to https://bitbucket.org/secdev/scapy/issues/5149/rdpcap-and-wrpcap-file-descriptor-leak but this was was fixed some time ago.
import scapy
from guppy import hpy
import psutil
hp = hpy()
class SessionBuilder(object):
def __init__(self):
pass
def get_sessions(pcap):
# this heap always reports 50mb usage
hp.heap()
process = psutil.Process(os.getpid())
# I expect this memory to be around 50mb... but that's not always true
print process.memory_info()
opened_pcap = rdpcap("pcap_location")
sessions = opened_pcap.session()
# this heap always reports 50mb usage
hp.heap()
# I expect this memory to be larger which is it
print process.memory_info()
return sessions
inside aonther python file
import SessionBuilder
class session_worker
def __init__(self):
self.sb = SessionBuilder()
def work(self):
for pcap in pcaps:
sessions = self.sb.get_sessions(pcap)
# I then go about doing some things with these sessions
apologies for some mistakes in the code but it's on an offline system so just added a rough chunk of what I'm doing.
every time I go around the loop there is a chance that the memory from the previous loop stays and this just compounds until I have no memory left
(not featured in the code above but there is some logic in place that will ignore any pcap that is larger than 1/4 of available memory on the box to ensure that scapy can open it an extract the sessions)
according to Using heapy to track down memory leaks in Django app the heap amount of representative of the memory that python is using and not any underlying c code. I'm assuming scapy uses c underneath?
python memory-leaks scapy psutil guppy
asked Nov 23 '18 at 15:10
bain2236bain2236
64
add a comment |
Currently experiencing high memory usage by scapy 2.4.0 on python 2.7 running on centos 7.4
originally I thought it was due to https://bitbucket.org/secdev/scapy/issues/5149/rdpcap-and-wrpcap-file-descriptor-leak but this was was fixed some time ago.
import scapy
from guppy import hpy
import psutil
hp = hpy()
class SessionBuilder(object):
def __init__(self):
pass
def get_sessions(pcap):
# this heap always reports 50mb usage
hp.heap()
process = psutil.Process(os.getpid())
# I expect this memory to be around 50mb... but that's not always true
print process.memory_info()
opened_pcap = rdpcap("pcap_location")
sessions = opened_pcap.session()
# this heap always reports 50mb usage
hp.heap()
# I expect this memory to be larger which is it
print process.memory_info()
return sessions
inside aonther python file
import SessionBuilder
class session_worker
def __init__(self):
self.sb = SessionBuilder()
def work(self):
for pcap in pcaps:
sessions = self.sb.get_sessions(pcap)
# I then go about doing some things with these sessions
apologies for some mistakes in the code but it's on an offline system so just added a rough chunk of what I'm doing.
every time I go around the loop there is a chance that the memory from the previous loop stays and this just compounds until I have no memory left
(not featured in the code above but there is some logic in place that will ignore any pcap that is larger than 1/4 of available memory on the box to ensure that scapy can open it an extract the sessions)
according to Using heapy to track down memory leaks in Django app the heap amount of representative of the memory that python is using and not any underlying c code. I'm assuming scapy uses c underneath?
python memory-leaks scapy psutil guppy
asked Nov 23 '18 at 15:10
bain2236bain2236
64
Someone left a comment but either they deleted it or I can't see it. Anyways I solved this by implementing my own version of a lower level function inside the scapy source code. By doing this I was able to read the amount of pcaps I wanted and build sessions out of them before rinsing and repeating but leaving the pcap reader open. Hope this helps anyone that comes into this issue later on
– bain2236
Mar 19 at 19:01
add a comment |
Currently experiencing high memory usage by scapy 2.4.0 on python 2.7 running on centos 7.4
originally I thought it was due to https://bitbucket.org/secdev/scapy/issues/5149/rdpcap-and-wrpcap-file-descriptor-leak but this was was fixed some time ago.
import scapy
from guppy import hpy
import psutil
hp = hpy()
class SessionBuilder(object):
def __init__(self):
pass
def get_sessions(pcap):
# this heap always reports 50mb usage
hp.heap()
process = psutil.Process(os.getpid())
# I expect this memory to be around 50mb... but that's not always true
print process.memory_info()
opened_pcap = rdpcap("pcap_location")
sessions = opened_pcap.session()
# this heap always reports 50mb usage
hp.heap()
# I expect this memory to be larger which is it
print process.memory_info()
return sessions
inside aonther python file
import SessionBuilder
class session_worker
def __init__(self):
self.sb = SessionBuilder()
def work(self):
for pcap in pcaps:
sessions = self.sb.get_sessions(pcap)
# I then go about doing some things with these sessions
apologies for some mistakes in the code but it's on an offline system so just added a rough chunk of what I'm doing.
every time I go around the loop there is a chance that the memory from the previous loop stays and this just compounds until I have no memory left
(not featured in the code above but there is some logic in place that will ignore any pcap that is larger than 1/4 of available memory on the box to ensure that scapy can open it an extract the sessions)
according to Using heapy to track down memory leaks in Django app the heap amount of representative of the memory that python is using and not any underlying c code. I'm assuming scapy uses c underneath?
python memory-leaks scapy psutil guppy
asked Nov 23 '18 at 15:10
bain2236bain2236
64
Currently experiencing high memory usage by scapy 2.4.0 on python 2.7 running on centos 7.4
originally I thought it was due to https://bitbucket.org/secdev/scapy/issues/5149/rdpcap-and-wrpcap-file-descriptor-leak but this was was fixed some time ago.
import scapy
from guppy import hpy
import psutil
hp = hpy()
class SessionBuilder(object):
def __init__(self):
pass
def get_sessions(pcap):
# this heap always reports 50mb usage
hp.heap()
process = psutil.Process(os.getpid())
# I expect this memory to be around 50mb... but that's not always true
print process.memory_info()
opened_pcap = rdpcap("pcap_location")
sessions = opened_pcap.session()
# this heap always reports 50mb usage
hp.heap()
# I expect this memory to be larger which is it
print process.memory_info()
return sessions
inside aonther python file
import SessionBuilder
class session_worker
def __init__(self):
self.sb = SessionBuilder()
def work(self):
for pcap in pcaps:
sessions = self.sb.get_sessions(pcap)
# I then go about doing some things with these sessions
apologies for some mistakes in the code but it's on an offline system so just added a rough chunk of what I'm doing.
every time I go around the loop there is a chance that the memory from the previous loop stays and this just compounds until I have no memory left
(not featured in the code above but there is some logic in place that will ignore any pcap that is larger than 1/4 of available memory on the box to ensure that scapy can open it an extract the sessions)
according to Using heapy to track down memory leaks in Django app the heap amount of representative of the memory that python is using and not any underlying c code. I'm assuming scapy uses c underneath?
python memory-leaks scapy psutil guppy
python memory-leaks scapy psutil guppy
asked Nov 23 '18 at 15:10
bain2236bain2236
64
asked Nov 23 '18 at 15:10
bain2236bain2236
64
asked Nov 23 '18 at 15:10
bain2236bain2236
64
asked Nov 23 '18 at 15:10
bain2236bain2236
64
asked Nov 23 '18 at 15:10
bain2236bain2236
64
64
Someone left a comment but either they deleted it or I can't see it. Anyways I solved this by implementing my own version of a lower level function inside the scapy source code. By doing this I was able to read the amount of pcaps I wanted and build sessions out of them before rinsing and repeating but leaving the pcap reader open. Hope this helps anyone that comes into this issue later on
– bain2236
Mar 19 at 19:01
add a comment |
Someone left a comment but either they deleted it or I can't see it. Anyways I solved this by implementing my own version of a lower level function inside the scapy source code. By doing this I was able to read the amount of pcaps I wanted and build sessions out of them before rinsing and repeating but leaving the pcap reader open. Hope this helps anyone that comes into this issue later on
– bain2236
Mar 19 at 19:01
Someone left a comment but either they deleted it or I can't see it. Anyways I solved this by implementing my own version of a lower level function inside the scapy source code. By doing this I was able to read the amount of pcaps I wanted and build sessions out of them before rinsing and repeating but leaving the pcap reader open. Hope this helps anyone that comes into this issue later on
– bain2236
Mar 19 at 19:01
Someone left a comment but either they deleted it or I can't see it. Anyways I solved this by implementing my own version of a lower level function inside the scapy source code. By doing this I was able to read the amount of pcaps I wanted and build sessions out of them before rinsing and repeating but leaving the pcap reader open. Hope this helps anyone that comes into this issue later on
– bain2236
Mar 19 at 19:01
add a comment |
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Someone left a comment but either they deleted it or I can't see it. Anyways I solved this by implementing my own version of a lower level function inside the scapy source code. By doing this I was able to read the amount of pcaps I wanted and build sessions out of them before rinsing and repeating but leaving the pcap reader open. Hope this helps anyone that comes into this issue later on
– bain2236
Mar 19 at 19:01