code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
def getExecuteCmd(self, proto, port):
"""Get the ExecuteCmd format string specified by the operator.
Args:
proto: The protocol name
port: The port number
Returns:
The format string if applicable
None, otherwise
"""
listener = self... | Get the ExecuteCmd format string specified by the operator.
Args:
proto: The protocol name
port: The port number
Returns:
The format string if applicable
None, otherwise
| getExecuteCmd | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def _isWhiteListMiss(self, thing, whitelist):
"""Check if thing is NOT in whitelist.
Args:
thing: thing to check whitelist for
whitelist: list of entries
Returns:
True if thing is in whitelist
False otherwise, or if there is no whitelist
... | Check if thing is NOT in whitelist.
Args:
thing: thing to check whitelist for
whitelist: list of entries
Returns:
True if thing is in whitelist
False otherwise, or if there is no whitelist
| _isWhiteListMiss | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def _isBlackListHit(self, thing, blacklist):
"""Check if thing is in blacklist.
Args:
thing: thing to check blacklist for
blacklist: list of entries
Returns:
True if thing is in blacklist
False otherwise, or if there is no blacklist
"""
... | Check if thing is in blacklist.
Args:
thing: thing to check blacklist for
blacklist: list of entries
Returns:
True if thing is in blacklist
False otherwise, or if there is no blacklist
| _isBlackListHit | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def isProcessWhiteListMiss(self, proto, port, proc):
"""Check if proc is OUTSIDE the process WHITElist for a port.
Args:
proto: The protocol name
port: The port number
proc: The process name
Returns:
False if no listener on this port
... | Check if proc is OUTSIDE the process WHITElist for a port.
Args:
proto: The protocol name
port: The port number
proc: The process name
Returns:
False if no listener on this port
Return value of _isWhiteListMiss otherwise
| isProcessWhiteListMiss | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def isProcessBlackListHit(self, proto, port, proc):
"""Check if proc is IN the process BLACKlist for a port.
Args:
proto: The protocol name
port: The port number
proc: The process name
Returns:
False if no listener on this port
Return... | Check if proc is IN the process BLACKlist for a port.
Args:
proto: The protocol name
port: The port number
proc: The process name
Returns:
False if no listener on this port
Return value of _isBlackListHit otherwise
| isProcessBlackListHit | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def isHostWhiteListMiss(self, proto, port, host):
"""Check if host is OUTSIDE the process WHITElist for a port.
Args:
proto: The protocol name
port: The port number
host: The process name
Returns:
False if no listener on this port
Ret... | Check if host is OUTSIDE the process WHITElist for a port.
Args:
proto: The protocol name
port: The port number
host: The process name
Returns:
False if no listener on this port
Return value of _isWhiteListMiss otherwise
| isHostWhiteListMiss | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def isHostBlackListHit(self, proto, port, host):
"""Check if host is IN the process BLACKlist for a port.
Args:
proto: The protocol name
port: The port number
host: The process name
Returns:
False if no listener on this port
Return va... | Check if host is IN the process BLACKlist for a port.
Args:
proto: The protocol name
port: The port number
host: The process name
Returns:
False if no listener on this port
Return value of _isBlackListHit otherwise
| isHostBlackListHit | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def isDistinct(self, prev, bound_ips):
"""Not quite inequality.
Requires list of bound IPs for that IP protocol version and recognizes
when a foreign-destined packet was redirected to localhost or to an IP
occupied by an adapter local to the system to be able to suppress
output ... | Not quite inequality.
Requires list of bound IPs for that IP protocol version and recognizes
when a foreign-destined packet was redirected to localhost or to an IP
occupied by an adapter local to the system to be able to suppress
output of these near-duplicates.
| isDistinct | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def __init__(self, diverter_config, listeners_config, ip_addrs,
logging_level=logging.INFO):
"""Initialize the DiverterBase.
TODO: Replace the sys.exit() calls from this function with exceptions
or some other mechanism appropriate for allowing the user of this class
to ... | Initialize the DiverterBase.
TODO: Replace the sys.exit() calls from this function with exceptions
or some other mechanism appropriate for allowing the user of this class
to programmatically detect and handle these cases in their own way.
This may entail moving configuration parsing to ... | __init__ | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def set_debug_level(self, lvl, labels={}):
"""Enable debug output if necessary, set the debug output level, and
maintain a reference to the dictionary of labels to print when a given
logging level is encountered.
Args:
lvl: An int mask of all debug logging levels
... | Enable debug output if necessary, set the debug output level, and
maintain a reference to the dictionary of labels to print when a given
logging level is encountered.
Args:
lvl: An int mask of all debug logging levels
labels: A dict of int => str assigning names to each ... | set_debug_level | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def pdebug(self, lvl, s):
"""Log only the debug trace messages that have been enabled via
set_debug_level.
Args:
lvl: An int indicating the debug level of this message
s: The mssage
Returns:
None
"""
if self.pdebug_level & lvl:
... | Log only the debug trace messages that have been enabled via
set_debug_level.
Args:
lvl: An int indicating the debug level of this message
s: The mssage
Returns:
None
| pdebug | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def check_privileged(self):
"""UNIXy and Windows-oriented check for superuser privileges.
Returns:
True if superuser, else False
"""
try:
privileged = (os.getuid() == 0)
except AttributeError:
privileged = (ctypes.windll.shell32.IsUserAnAdmin(... | UNIXy and Windows-oriented check for superuser privileges.
Returns:
True if superuser, else False
| check_privileged | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def parse_listeners_config(self, listeners_config):
"""Parse listener config sections.
TODO: Replace the sys.exit() calls from this function with exceptions
or some other mechanism appropriate for allowing the user of this class
to programmatically detect and handle these cases in their... | Parse listener config sections.
TODO: Replace the sys.exit() calls from this function with exceptions
or some other mechanism appropriate for allowing the user of this class
to programmatically detect and handle these cases in their own way.
This may entail modifying fakenet.py.
... | parse_listeners_config | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def build_cmd(self, pkt, pid, comm):
"""Retrieve the ExecuteCmd directive if applicable and build the
command to execute.
Args:
pkt: An fnpacket.PacketCtx or derived object
pid: Process ID associated with the packet
comm: Process name (command) that sent the pac... | Retrieve the ExecuteCmd directive if applicable and build the
command to execute.
Args:
pkt: An fnpacket.PacketCtx or derived object
pid: Process ID associated with the packet
comm: Process name (command) that sent the packet
Returns:
A str that is ... | build_cmd | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def _build_cmd(self, tmpl, pid, comm, src_ip, sport, dst_ip, dport):
"""Build a command based on the template specified in an ExecuteCmd
config directive, applying the parameters as needed.
Accepts individual arguments instead of an fnpacket.PacketCtx so that
the Diverter can test any E... | Build a command based on the template specified in an ExecuteCmd
config directive, applying the parameters as needed.
Accepts individual arguments instead of an fnpacket.PacketCtx so that
the Diverter can test any ExecuteCmd directives at configuration time
without having to synthesize ... | _build_cmd | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def execute_detached(self, execute_cmd):
"""OS-agnostic asynchronous subprocess creation.
Executes the process with the appropriate subprocess.Popen parameters
for UNIXy or Windows platforms to isolate the process from FakeNet-NG
to prevent it from being interrupted by termination of Fa... | OS-agnostic asynchronous subprocess creation.
Executes the process with the appropriate subprocess.Popen parameters
for UNIXy or Windows platforms to isolate the process from FakeNet-NG
to prevent it from being interrupted by termination of FakeNet-NG,
Ctrl-C, etc.
Args:
... | execute_detached | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def parse_diverter_config(self):
"""Parse [Diverter] config section.
Args: N/A
Side-effects:
Diverter members (whitelists, pcap, etc.) initialized.
Returns:
None
"""
# SingleHost vs MultiHost mode
self.network_mode = 'SingleHost' # Defa... | Parse [Diverter] config section.
Args: N/A
Side-effects:
Diverter members (whitelists, pcap, etc.) initialized.
Returns:
None
| parse_diverter_config | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def write_pcap(self, pkt):
"""Writes a packet to the pcap.
Args:
pkt: A fnpacket.PacketCtx or derived object
Returns:
None
Side-effects:
Calls dpkt.pcap.Writer.writekpt to persist the octets
"""
if self.pcap and self.pcap_lock:
... | Writes a packet to the pcap.
Args:
pkt: A fnpacket.PacketCtx or derived object
Returns:
None
Side-effects:
Calls dpkt.pcap.Writer.writekpt to persist the octets
| write_pcap | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def formatPkt(self, pkt, pid, comm):
"""Format a packet analysis log line for DGENPKTV.
Args:
pkt: A fnpacket.PacketCtx or derived object
pid: Process ID associated with the packet
comm: Process executable name
Returns:
A str containing the log l... | Format a packet analysis log line for DGENPKTV.
Args:
pkt: A fnpacket.PacketCtx or derived object
pid: Process ID associated with the packet
comm: Process executable name
Returns:
A str containing the log line
| formatPkt | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def check_should_ignore(self, pkt, pid, comm):
"""Indicate whether a packet should be passed without mangling.
Checks whether the packet matches black and whitelists, or whether it
signifies an FTP Active Mode connection.
Args:
pkt: A fnpacket.PacketCtx or derived object
... | Indicate whether a packet should be passed without mangling.
Checks whether the packet matches black and whitelists, or whether it
signifies an FTP Active Mode connection.
Args:
pkt: A fnpacket.PacketCtx or derived object
pid: Process ID associated with the packet
... | check_should_ignore | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def check_log_icmp(self, crit, pkt):
"""Log an ICMP packet if the header was parsed as ICMP.
Args:
crit: A DivertParms object
pkt: An fnpacket.PacketCtx or derived object
Returns:
None
"""
if (pkt.is_icmp and (not self.running_on_windows or
... | Log an ICMP packet if the header was parsed as ICMP.
Args:
crit: A DivertParms object
pkt: An fnpacket.PacketCtx or derived object
Returns:
None
| check_log_icmp | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def getOriginalDestPort(self, orig_src_ip, orig_src_port, proto):
"""Return original destination port, or None if it was not redirected.
The proxy listener uses this method to obtain and provide port
information to listeners in the taste() callback as an extra hint as to
whether the tra... | Return original destination port, or None if it was not redirected.
The proxy listener uses this method to obtain and provide port
information to listeners in the taste() callback as an extra hint as to
whether the traffic may be appropriate for parsing by that listener.
Args:
... | getOriginalDestPort | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def maybe_redir_ip(self, crit, pkt, pid, comm):
"""Conditionally redirect foreign destination IPs to localhost.
On Linux, this is used only under SingleHost mode.
Args:
crit: DivertParms object
pkt: fnpacket.PacketCtx or derived object
pid: int process ID as... | Conditionally redirect foreign destination IPs to localhost.
On Linux, this is used only under SingleHost mode.
Args:
crit: DivertParms object
pkt: fnpacket.PacketCtx or derived object
pid: int process ID associated with the packet
comm: Process name (co... | maybe_redir_ip | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def maybe_fixup_srcip(self, crit, pkt, pid, comm):
"""Conditionally fix up the source IP address if the remote endpoint
had their connection IP-forwarded.
Check is based on whether the remote endpoint corresponds to a key in
the IP forwarding table.
Args:
crit: Dive... | Conditionally fix up the source IP address if the remote endpoint
had their connection IP-forwarded.
Check is based on whether the remote endpoint corresponds to a key in
the IP forwarding table.
Args:
crit: DivertParms object
pkt: fnpacket.PacketCtx or derived ... | maybe_fixup_srcip | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def maybe_redir_port(self, crit, pkt, pid, comm):
"""Conditionally send packets to the default listener for this proto.
Args:
crit: DivertParms object
pkt: fnpacket.PacketCtx or derived object
pid: int process ID associated with the packet
comm: Process n... | Conditionally send packets to the default listener for this proto.
Args:
crit: DivertParms object
pkt: fnpacket.PacketCtx or derived object
pid: int process ID associated with the packet
comm: Process name (command) that sent the packet
Side-effects:
... | maybe_redir_port | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def maybe_fixup_sport(self, crit, pkt, pid, comm):
"""Conditionally fix up source port if the remote endpoint had their
connection port-forwarded to the default listener.
Check is based on whether the remote endpoint corresponds to a key in
the port forwarding table.
Side-effec... | Conditionally fix up source port if the remote endpoint had their
connection port-forwarded to the default listener.
Check is based on whether the remote endpoint corresponds to a key in
the port forwarding table.
Side-effects:
May mangle the packet by modifying the source ... | maybe_fixup_sport | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def decide_redir_port(self, pkt, bound_ports):
"""Decide whether to redirect a port.
Optimized logic derived by truth table + k-map. See docs/internals.md
for details.
Args:
pkt: fnpacket.PacketCtx or derived object
bound_ports: Set of ports that are bound for t... | Decide whether to redirect a port.
Optimized logic derived by truth table + k-map. See docs/internals.md
for details.
Args:
pkt: fnpacket.PacketCtx or derived object
bound_ports: Set of ports that are bound for this protocol
Returns:
True if the pac... | decide_redir_port | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def addSession(self, pkt):
"""Add a connection to the sessions hash table.
Args:
pkt: fnpacket.PacketCtx or derived object
Returns:
None
"""
session = namedtuple('session', ['dst_ip', 'dport', 'pid',
'comm', 'dpor... | Add a connection to the sessions hash table.
Args:
pkt: fnpacket.PacketCtx or derived object
Returns:
None
| addSession | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def maybeExecuteCmd(self, pkt, pid, comm):
"""Execute any ExecuteCmd associated with this port/listener.
Args:
pkt: fnpacket.PacketCtx or derived object
pid: int process ID associated with the packet
comm: Process name (command) that sent the packet
Returns:... | Execute any ExecuteCmd associated with this port/listener.
Args:
pkt: fnpacket.PacketCtx or derived object
pid: int process ID associated with the packet
comm: Process name (command) that sent the packet
Returns:
None
| maybeExecuteCmd | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def mapProxySportToOrigSport(self, proto, orig_sport, proxy_sport,
is_ssl_encrypted):
"""Maps Proxy initiated source ports to their original source ports.
The Proxy listener uses this method to notify the diverter about the
proxy originated source port for the original source port. ... | Maps Proxy initiated source ports to their original source ports.
The Proxy listener uses this method to notify the diverter about the
proxy originated source port for the original source port. It also
notifies if the packet uses SSL encryption.
Args:
proto: str protocol of... | mapProxySportToOrigSport | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def logNbi(self, sport, nbi, proto, application_layer_proto,
is_ssl_encrypted):
"""Collects the NBIs from all listeners into a dictionary.
All listeners use this method to notify the diverter about any NBI
captured within their scope.
Args:
sport: int port bound... | Collects the NBIs from all listeners into a dictionary.
All listeners use this method to notify the diverter about any NBI
captured within their scope.
Args:
sport: int port bound by listener
nbi: dict NBI captured within the listener
proto: str protocol use... | logNbi | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def prettyPrintNbi(self):
"""Convenience method to print all NBIs in appropriate format upon
fakenet session termination. Called by stop() method of diverter.
"""
banner = r"""
... | Convenience method to print all NBIs in appropriate format upon
fakenet session termination. Called by stop() method of diverter.
| prettyPrintNbi | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def generate_html_report(self):
"""Generates an interactive HTML report containing NBI summary saved
to the main working directory of flare-fakenet-ng. Called by stop() method
of diverter.
"""
if getattr(sys, 'frozen', False) and hasattr(sys, '_MEIPASS'):
# Inside a P... | Generates an interactive HTML report containing NBI summary saved
to the main working directory of flare-fakenet-ng. Called by stop() method
of diverter.
| generate_html_report | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def isProcessBlackListed(self, proto, sport=None, process_name=None, dport=None):
"""Checks if a process is blacklisted.
Expected arguments are either:
- process_name and dport, or
- sport
"""
pid = None
if self.single_host_mode and proto is not None:
... | Checks if a process is blacklisted.
Expected arguments are either:
- process_name and dport, or
- sport
| isProcessBlackListed | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def logNbi(self, sport, nbi, proto, application_layer_proto,
is_ssl_encrypted):
"""Delegate the logging of NBIs to the diverter.
This method forwards the provided NBI information to the logNbi() method
in the underlying diverter object. Called by all listeners to log NBIs.
"... | Delegate the logging of NBIs to the diverter.
This method forwards the provided NBI information to the logNbi() method
in the underlying diverter object. Called by all listeners to log NBIs.
| logNbi | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def mapProxySportToOrigSport(self, proto, orig_sport, proxy_sport,
is_ssl_encrypted):
"""Delegate the mapping of proxy sport to original sport to the
diverter.
This method forwards the provided parameters to the
mapProxySportToOrigSport() method in the underlying diverter ob... | Delegate the mapping of proxy sport to original sport to the
diverter.
This method forwards the provided parameters to the
mapProxySportToOrigSport() method in the underlying diverter object.
Called by ProxyListener to report the mapping between proxy initiated
source port and o... | mapProxySportToOrigSport | python | mandiant/flare-fakenet-ng | fakenet/diverters/diverterbase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/diverterbase.py | Apache-2.0 |
def configure(self, config_dict, portlists=[], stringlists=[], idlists=[]):
"""Parse configuration.
Does three things:
1.) Turn dictionary keys to lowercase
2.) Turn string lists into arrays for quicker access
3.) Expand port range specifications
"""
... | Parse configuration.
Does three things:
1.) Turn dictionary keys to lowercase
2.) Turn string lists into arrays for quicker access
3.) Expand port range specifications
| configure | python | mandiant/flare-fakenet-ng | fakenet/diverters/fnconfig.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/fnconfig.py | Apache-2.0 |
def _parseIp(self):
"""Parse IP src/dst fields and next-layer fields if recognized."""
if self._is_ip:
self._src_ip0 = self._src_ip = socket.inet_ntoa(self._hdr.src)
self._dst_ip0 = self._dst_ip = socket.inet_ntoa(self._hdr.dst)
self.proto = self.handled_protocols.get... | Parse IP src/dst fields and next-layer fields if recognized. | _parseIp | python | mandiant/flare-fakenet-ng | fakenet/diverters/fnpacket.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/fnpacket.py | Apache-2.0 |
def _calcCsums(self):
"""The roundabout dance of inducing dpkt to recalculate checksums..."""
self._hdr.sum = 0
self._hdr.data.sum = 0
# This has the side-effect of invoking dpkt.in_cksum() et al:
str(self._hdr) | The roundabout dance of inducing dpkt to recalculate checksums... | _calcCsums | python | mandiant/flare-fakenet-ng | fakenet/diverters/fnpacket.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/fnpacket.py | Apache-2.0 |
def _iptables_format(self, chain, iface, argfmt):
"""Format iptables command line with optional interface restriction.
Parameters
----------
chain : string
One of 'OUTPUT', 'POSTROUTING', 'INPUT', or 'PREROUTING', used for
deciding the correct flag (-i versus -o)... | Format iptables command line with optional interface restriction.
Parameters
----------
chain : string
One of 'OUTPUT', 'POSTROUTING', 'INPUT', or 'PREROUTING', used for
deciding the correct flag (-i versus -o)
iface : string or NoneType
Name of inter... | _iptables_format | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def start(self, timeout_sec=0.5):
"""Binds to the netfilter queue number specified in the ctor, obtains
the netlink socket, sets a timeout of <timeout_sec>, and starts the
thread procedure which checks _stopflag every time the netlink socket
times out.
"""
# Execute ipta... | Binds to the netfilter queue number specified in the ctor, obtains
the netlink socket, sets a timeout of <timeout_sec>, and starts the
thread procedure which checks _stopflag every time the netlink socket
times out.
| start | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def parse(self, multi=False, max_col=None):
"""Rip through the file and call cb to extract field(s).
Specify multi if you want to collect an aray instead of exiting the
first time the callback returns anything.
Only specify max_col if you are uncertain that the maximum column
n... | Rip through the file and call cb to extract field(s).
Specify multi if you want to collect an aray instead of exiting the
first time the callback returns anything.
Only specify max_col if you are uncertain that the maximum column
number you will access may exist. For procfs files, this... | parse | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def linux_get_current_nfnlq_bindings(self):
"""Determine what NFQUEUE queue numbers (if any) are already bound by
existing libnfqueue client processes.
Although iptables rules may exist specifying other queues in addition
to these, the netfilter team does not support using libiptc (such... | Determine what NFQUEUE queue numbers (if any) are already bound by
existing libnfqueue client processes.
Although iptables rules may exist specifying other queues in addition
to these, the netfilter team does not support using libiptc (such as
via python-iptables) to detect that conditi... | linux_get_current_nfnlq_bindings | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def linux_iptables_redir_iface(self, iface):
"""Linux-specific iptables processing for interface-based redirect
rules.
returns:
tuple(bool, list(IptCmdTemplate))
Status of the operation and any successful iptables rules that will
need to be undone.
""... | Linux-specific iptables processing for interface-based redirect
rules.
returns:
tuple(bool, list(IptCmdTemplate))
Status of the operation and any successful iptables rules that will
need to be undone.
| linux_iptables_redir_iface | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def linux_remove_iptables_rules(self, rules):
"""Execute the iptables command to remove each rule that was
successfully added.
"""
failed = []
for rule in rules:
ret = rule.remove()
if ret != 0:
failed.append(rule)
return failed | Execute the iptables command to remove each rule that was
successfully added.
| linux_remove_iptables_rules | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def linux_find_processes(self, names):
"""But what if a blacklisted process spawns after we call
this? We'd have to call this every time we do anything.
"""
pids = []
proc_pid_dirs = glob.glob('/proc/[0-9]*/')
comm_file = ''
for proc_pid_dir in proc_pid_dirs:
... | But what if a blacklisted process spawns after we call
this? We'd have to call this every time we do anything.
| linux_find_processes | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def _linux_find_sock_by_endpoint_unsafe(self, ipver, proto_name, ip, port,
local=True):
"""Search /proc/net/tcp for a socket whose local (field 1, zero-based)
or remote (field 2) address matches ip:port and return the
corresponding inode (field 9).
... | Search /proc/net/tcp for a socket whose local (field 1, zero-based)
or remote (field 2) address matches ip:port and return the
corresponding inode (field 9).
Fields referenced above are zero-based.
Example contents of /proc/net/tcp (wrapped and double-spaced)
sl local_addre... | _linux_find_sock_by_endpoint_unsafe | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def linux_get_pid_comm_by_endpoint(self, ipver, proto_name, ip, port):
"""Obtain a pid and executable name associated with an endpoint.
NOTE: procfs does not allow us to answer questions like "who just
called send()?"; only questions like "who owns a socket associated with
this local po... | Obtain a pid and executable name associated with an endpoint.
NOTE: procfs does not allow us to answer questions like "who just
called send()?"; only questions like "who owns a socket associated with
this local port?" Since fork() etc. can result in multiple ownership,
the real answer m... | linux_get_pid_comm_by_endpoint | python | mandiant/flare-fakenet-ng | fakenet/diverters/linutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linutil.py | Apache-2.0 |
def handle_nonlocal(self, nfqpkt):
"""Handle comms sent to IP addresses that are not bound to any adapter.
This allows analysts to observe when malware is communicating with
hard-coded IP addresses in MultiHost mode.
"""
try:
pkt = LinuxPacketCtx('handle_nonlocal', n... | Handle comms sent to IP addresses that are not bound to any adapter.
This allows analysts to observe when malware is communicating with
hard-coded IP addresses in MultiHost mode.
| handle_nonlocal | python | mandiant/flare-fakenet-ng | fakenet/diverters/linux.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linux.py | Apache-2.0 |
def handle_incoming(self, nfqpkt):
"""Incoming packet hook.
Specific to incoming packets:
5.) If SingleHost mode:
a.) Conditionally fix up source IPs to support IP forwarding for
otherwise foreign-destined packets
4.) Conditionally mangle destination ports to... | Incoming packet hook.
Specific to incoming packets:
5.) If SingleHost mode:
a.) Conditionally fix up source IPs to support IP forwarding for
otherwise foreign-destined packets
4.) Conditionally mangle destination ports to implement port forwarding
for unb... | handle_incoming | python | mandiant/flare-fakenet-ng | fakenet/diverters/linux.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linux.py | Apache-2.0 |
def handle_outgoing(self, nfqpkt):
"""Outgoing packet hook.
Specific to outgoing packets:
4.) If SingleHost mode:
a.) Conditionally log packets destined for foreign IP addresses
(the corresponding check for MultiHost mode is called by
handle_nonlocal(... | Outgoing packet hook.
Specific to outgoing packets:
4.) If SingleHost mode:
a.) Conditionally log packets destined for foreign IP addresses
(the corresponding check for MultiHost mode is called by
handle_nonlocal())
b.) Conditionally mangle destin... | handle_outgoing | python | mandiant/flare-fakenet-ng | fakenet/diverters/linux.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linux.py | Apache-2.0 |
def check_log_nonlocal(self, crit, pkt):
"""Conditionally log packets having a foreign destination.
Each foreign destination will be logged only once if the Linux
Diverter's internal log_nonlocal_only_once flag is set. Otherwise, any
foreign destination IP address will be logged each ti... | Conditionally log packets having a foreign destination.
Each foreign destination will be logged only once if the Linux
Diverter's internal log_nonlocal_only_once flag is set. Otherwise, any
foreign destination IP address will be logged each time it is observed.
| check_log_nonlocal | python | mandiant/flare-fakenet-ng | fakenet/diverters/linux.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/linux.py | Apache-2.0 |
def redirIcmpIpUnconditionally(self, crit, pkt):
"""Redirect ICMP to loopback or external IP if necessary.
On Windows, we can't conveniently use an iptables REDIRECT rule to get
ICMP packets sent back home for free, so here is some code.
"""
if (pkt.is_icmp and
p... | Redirect ICMP to loopback or external IP if necessary.
On Windows, we can't conveniently use an iptables REDIRECT rule to get
ICMP packets sent back home for free, so here is some code.
| redirIcmpIpUnconditionally | python | mandiant/flare-fakenet-ng | fakenet/diverters/windows.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/windows.py | Apache-2.0 |
def fix_gateway(self):
"""Check if there is a gateway configured on any of the Ethernet
interfaces. If that's not the case, then locate configured IP address
and set a gateway automatically. This is necessary for VMWare Host-Only
DHCP server which leaves default gateway empty.
""... | Check if there is a gateway configured on any of the Ethernet
interfaces. If that's not the case, then locate configured IP address
and set a gateway automatically. This is necessary for VMWare Host-Only
DHCP server which leaves default gateway empty.
| fix_gateway | python | mandiant/flare-fakenet-ng | fakenet/diverters/winutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/winutil.py | Apache-2.0 |
def fix_dns(self):
"""Check if there is a DNS server on any of the Ethernet interfaces. If
that's not the case, then locate configured IP address and set a DNS
server automatically.
"""
fixed = False
for adapter in self.get_adapters_info():
if self.check_ipa... | Check if there is a DNS server on any of the Ethernet interfaces. If
that's not the case, then locate configured IP address and set a DNS
server automatically.
| fix_dns | python | mandiant/flare-fakenet-ng | fakenet/diverters/winutil.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/diverters/winutil.py | Apache-2.0 |
def failEarly(self):
"""Raise exceptions upon construction rather than later."""
# Test generating banner
banner_generated = str(self)
# Test generating and getting length of banner
banner_generated_len = len(self)
return banner_generated, banner_generated_len | Raise exceptions upon construction rather than later. | failEarly | python | mandiant/flare-fakenet-ng | fakenet/listeners/BannerFactory.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/BannerFactory.py | Apache-2.0 |
def __len__(self):
"""Needed for pyftpdlib.
If the length changes between the time when the caller obtains the
length and the time when the caller obtains the latest generated
string, then there is not much that could reasonably be done. It would
be possible to cache the... | Needed for pyftpdlib.
If the length changes between the time when the caller obtains the
length and the time when the caller obtains the latest generated
string, then there is not much that could reasonably be done. It would
be possible to cache the formatted banner with a short... | __len__ | python | mandiant/flare-fakenet-ng | fakenet/listeners/BannerFactory.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/BannerFactory.py | Apache-2.0 |
def genBanner(self, config, bannerdict, defaultbannerkey='!generic'):
"""Select and initialize a banner.
Supported banner escapes:
!<key> - Use the banner whose key in bannerdict is <key>
!random - Use a random banner from bannerdict
!generic - Every listener... | Select and initialize a banner.
Supported banner escapes:
!<key> - Use the banner whose key in bannerdict is <key>
!random - Use a random banner from bannerdict
!generic - Every listener supporting banners must have a generic
Banners can include literal '
' ... | genBanner | python | mandiant/flare-fakenet-ng | fakenet/listeners/BannerFactory.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/BannerFactory.py | Apache-2.0 |
def log_message(self, log_level, is_process_blacklisted, message, *args):
"""The primary objective of this method is to control the log messages
generated for requests from blacklisted processes.
In a case where the DNS server is same as the local machine, the DNS
requests from a blackl... | The primary objective of this method is to control the log messages
generated for requests from blacklisted processes.
In a case where the DNS server is same as the local machine, the DNS
requests from a blacklisted process will reach the DNS listener (which
listens on port 53 locally) ... | log_message | python | mandiant/flare-fakenet-ng | fakenet/listeners/DNSListener.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/DNSListener.py | Apache-2.0 |
def main():
"""
Run from the flare-fakenet-ng root dir with the following command:
python2 -m fakenet.listeners.HTTPListener
"""
logging.basicConfig(format='%(asctime)s [%(name)15s] %(message)s', datefmt='%m/%d/%y %I:%M:%S %p', level=logging.DEBUG)
config = {'port': '8443', 'usessl': 'Yes'... |
Run from the flare-fakenet-ng root dir with the following command:
python2 -m fakenet.listeners.HTTPListener
| main | python | mandiant/flare-fakenet-ng | fakenet/listeners/HTTPListener.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/HTTPListener.py | Apache-2.0 |
def safe_join(root, path):
"""
Joins a path to a root path, even if path starts with '/', using os.sep
"""
# prepending a '/' ensures '..' does not traverse past the root
# of the path
if not path.startswith('/'):
path = '/' + path
normpath = os.path.normpath(path)
return roo... |
Joins a path to a root path, even if path starts with '/', using os.sep
| safe_join | python | mandiant/flare-fakenet-ng | fakenet/listeners/ListenerBase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/ListenerBase.py | Apache-2.0 |
def abs_config_path(path):
"""
Attempts to return the absolute path of a path from a configuration
setting.
First tries just to just take the abspath() of the parameter to see
if it exists relative to the current working directory. If that does
not exist, attempts to find it relative to the 'f... |
Attempts to return the absolute path of a path from a configuration
setting.
First tries just to just take the abspath() of the parameter to see
if it exists relative to the current working directory. If that does
not exist, attempts to find it relative to the 'fakenet' package
directory. Ret... | abs_config_path | python | mandiant/flare-fakenet-ng | fakenet/listeners/ListenerBase.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/ListenerBase.py | Apache-2.0 |
def main():
"""
Run from the flare-fakenet-ng root dir with the following command:
python2 -m fakenet.listeners.TFTPListener
"""
logging.basicConfig(format='%(asctime)s [%(name)15s] %(message)s', datefmt='%m/%d/%y %I:%M:%S %p', level=logging.DEBUG)
config = {'port': '69', 'protocol': 'udp'... |
Run from the flare-fakenet-ng root dir with the following command:
python2 -m fakenet.listeners.TFTPListener
| main | python | mandiant/flare-fakenet-ng | fakenet/listeners/TFTPListener.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/TFTPListener.py | Apache-2.0 |
def create_cert(self, cn, ca_cert=None, ca_key=None, cert_dir=None):
"""
Create a cert given the common name, a signing CA, CA private key and
the directory output.
return: tuple(None, None) on error
tuple(cert_file_path, key_file_path) on success
"""
f_... |
Create a cert given the common name, a signing CA, CA private key and
the directory output.
return: tuple(None, None) on error
tuple(cert_file_path, key_file_path) on success
| create_cert | python | mandiant/flare-fakenet-ng | fakenet/listeners/ssl_utils/__init__.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/ssl_utils/__init__.py | Apache-2.0 |
def abs_config_path(self, path):
"""
Attempts to return the absolute path of a path from a configuration
setting.
"""
# Try absolute path first
abspath = os.path.abspath(path)
if os.path.exists(abspath):
return abspath
if getattr(sys, 'frozen... |
Attempts to return the absolute path of a path from a configuration
setting.
| abs_config_path | python | mandiant/flare-fakenet-ng | fakenet/listeners/ssl_utils/__init__.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/fakenet/listeners/ssl_utils/__init__.py | Apache-2.0 |
def get_ips(ipvers):
"""Return IP addresses bound to local interfaces including loopbacks.
Parameters
----------
ipvers : list
IP versions desired (4, 6, or both); ensures the netifaces semantics
(e.g. netiface.AF_INET) are localized to this function.
"""
specs = []
resu... | Return IP addresses bound to local interfaces including loopbacks.
Parameters
----------
ipvers : list
IP versions desired (4, 6, or both); ensures the netifaces semantics
(e.g. netiface.AF_INET) are localized to this function.
| get_ips | python | mandiant/flare-fakenet-ng | test/test.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/test/test.py | Apache-2.0 |
def _irc_evt_handler(self, srv, evt):
"""Check for each case and set the corresponding success flag."""
if evt.type == 'join':
if evt.target.startswith(self.join_chan):
self.join_ok = True
elif evt.type == 'welcome':
if evt.arguments[0].startswith('Welcome... | Check for each case and set the corresponding success flag. | _irc_evt_handler | python | mandiant/flare-fakenet-ng | test/test.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/test/test.py | Apache-2.0 |
def _irc_script(self, srv):
"""Callback manages individual test cases for IRC."""
# Clear success flags
self.welcome_ok = False
self.join_ok = False
self.privmsg_ok = False
self.pubmsg_ok = False
# This handler should set the success flags in success cases
... | Callback manages individual test cases for IRC. | _irc_script | python | mandiant/flare-fakenet-ng | test/test.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/test/test.py | Apache-2.0 |
def _run_irc_script(self, nm, callback):
"""Connect to server and give control to callback."""
r = irc.client.Reactor()
srv = r.server()
srv.connect(self.hostname, self.port, self.nick)
retval = callback(srv)
srv.close()
return retval | Connect to server and give control to callback. | _run_irc_script | python | mandiant/flare-fakenet-ng | test/test.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/test/test.py | Apache-2.0 |
def _filterMatchingTests(self, tests, matchspec):
"""Remove tests that match negative specifications (regexes preceded by
a minus sign) or do not match positive specifications (regexes not
preceded by a minus sign).
Modifies the contents of the tests dictionary.
"""
nega... | Remove tests that match negative specifications (regexes preceded by
a minus sign) or do not match positive specifications (regexes not
preceded by a minus sign).
Modifies the contents of the tests dictionary.
| _filterMatchingTests | python | mandiant/flare-fakenet-ng | test/test.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/test/test.py | Apache-2.0 |
def _test_ftp(self, hostname, port=0):
"""Note that the FakeNet-NG Proxy listener won't know what to do with
this client if you point it at some random port, because the client
listens silently for the server 220 welcome message which doesn't give
the Proxy listener anything to work with... | Note that the FakeNet-NG Proxy listener won't know what to do with
this client if you point it at some random port, because the client
listens silently for the server 220 welcome message which doesn't give
the Proxy listener anything to work with to decide where to forward it.
| _test_ftp | python | mandiant/flare-fakenet-ng | test/test.py | https://github.com/mandiant/flare-fakenet-ng/blob/master/test/test.py | Apache-2.0 |
def preprocess_input(audio_path, dim_ordering='default'):
'''Reads an audio file and outputs a Mel-spectrogram.
'''
if dim_ordering == 'default':
dim_ordering = K.image_dim_ordering()
assert dim_ordering in {'tf', 'th'}
if librosa_exists():
import librosa
else:
raise Run... | Reads an audio file and outputs a Mel-spectrogram.
| preprocess_input | python | fchollet/deep-learning-models | audio_conv_utils.py | https://github.com/fchollet/deep-learning-models/blob/master/audio_conv_utils.py | MIT |
def decode_predictions(preds, top_n=5):
'''Decode the output of a music tagger model.
# Arguments
preds: 2-dimensional numpy array
top_n: integer in [0, 50], number of items to show
'''
assert len(preds.shape) == 2 and preds.shape[1] == 50
results = []
for pred in preds:
... | Decode the output of a music tagger model.
# Arguments
preds: 2-dimensional numpy array
top_n: integer in [0, 50], number of items to show
| decode_predictions | python | fchollet/deep-learning-models | audio_conv_utils.py | https://github.com/fchollet/deep-learning-models/blob/master/audio_conv_utils.py | MIT |
def preprocess_input(x):
"""Preprocesses a numpy array encoding a batch of images.
This function applies the "Inception" preprocessing which converts
the RGB values from [0, 255] to [-1, 1]. Note that this preprocessing
function is different from `imagenet_utils.preprocess_input()`.
# Arguments
... | Preprocesses a numpy array encoding a batch of images.
This function applies the "Inception" preprocessing which converts
the RGB values from [0, 255] to [-1, 1]. Note that this preprocessing
function is different from `imagenet_utils.preprocess_input()`.
# Arguments
x: a 4D numpy array consis... | preprocess_input | python | fchollet/deep-learning-models | inception_resnet_v2.py | https://github.com/fchollet/deep-learning-models/blob/master/inception_resnet_v2.py | MIT |
def conv2d_bn(x,
filters,
kernel_size,
strides=1,
padding='same',
activation='relu',
use_bias=False,
name=None):
"""Utility function to apply conv + BN.
# Arguments
x: input tensor.
filters: filter... | Utility function to apply conv + BN.
# Arguments
x: input tensor.
filters: filters in `Conv2D`.
kernel_size: kernel size as in `Conv2D`.
padding: padding mode in `Conv2D`.
activation: activation in `Conv2D`.
strides: strides in `Conv2D`.
name: name of the ops... | conv2d_bn | python | fchollet/deep-learning-models | inception_resnet_v2.py | https://github.com/fchollet/deep-learning-models/blob/master/inception_resnet_v2.py | MIT |
def inception_resnet_block(x, scale, block_type, block_idx, activation='relu'):
"""Adds a Inception-ResNet block.
This function builds 3 types of Inception-ResNet blocks mentioned
in the paper, controlled by the `block_type` argument (which is the
block name used in the official TF-slim implementation)... | Adds a Inception-ResNet block.
This function builds 3 types of Inception-ResNet blocks mentioned
in the paper, controlled by the `block_type` argument (which is the
block name used in the official TF-slim implementation):
- Inception-ResNet-A: `block_type='block35'`
- Inception-ResNet-B: `b... | inception_resnet_block | python | fchollet/deep-learning-models | inception_resnet_v2.py | https://github.com/fchollet/deep-learning-models/blob/master/inception_resnet_v2.py | MIT |
def InceptionResNetV2(include_top=True,
weights='imagenet',
input_tensor=None,
input_shape=None,
pooling=None,
classes=1000):
"""Instantiates the Inception-ResNet v2 architecture.
Optionally loads weig... | Instantiates the Inception-ResNet v2 architecture.
Optionally loads weights pre-trained on ImageNet.
Note that when using TensorFlow, for best performance you should
set `"image_data_format": "channels_last"` in your Keras config
at `~/.keras/keras.json`.
The model and the weights are compatible w... | InceptionResNetV2 | python | fchollet/deep-learning-models | inception_resnet_v2.py | https://github.com/fchollet/deep-learning-models/blob/master/inception_resnet_v2.py | MIT |
def conv2d_bn(x,
filters,
num_row,
num_col,
padding='same',
strides=(1, 1),
name=None):
"""Utility function to apply conv + BN.
Arguments:
x: input tensor.
filters: filters in `Conv2D`.
num_row: height o... | Utility function to apply conv + BN.
Arguments:
x: input tensor.
filters: filters in `Conv2D`.
num_row: height of the convolution kernel.
num_col: width of the convolution kernel.
padding: padding mode in `Conv2D`.
strides: strides in `Conv2D`.
name: name of ... | conv2d_bn | python | fchollet/deep-learning-models | inception_v3.py | https://github.com/fchollet/deep-learning-models/blob/master/inception_v3.py | MIT |
def InceptionV3(include_top=True,
weights='imagenet',
input_tensor=None,
input_shape=None,
pooling=None,
classes=1000):
"""Instantiates the Inception v3 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that ... | Instantiates the Inception v3 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance you should set
`image_data_format="channels_last"` in your Keras config
at ~/.keras/keras.json.
The model and the weights are compatible with both
... | InceptionV3 | python | fchollet/deep-learning-models | inception_v3.py | https://github.com/fchollet/deep-learning-models/blob/master/inception_v3.py | MIT |
def MobileNet(input_shape=None,
alpha=1.0,
depth_multiplier=1,
dropout=1e-3,
include_top=True,
weights='imagenet',
input_tensor=None,
pooling=None,
classes=1000):
"""Instantiates the MobileNet architectur... | Instantiates the MobileNet architecture.
Note that only TensorFlow is supported for now,
therefore it only works with the data format
`image_data_format='channels_last'` in your Keras config
at `~/.keras/keras.json`.
To load a MobileNet model via `load_model`, import the custom
objects `relu6`... | MobileNet | python | fchollet/deep-learning-models | mobilenet.py | https://github.com/fchollet/deep-learning-models/blob/master/mobilenet.py | MIT |
def _conv_block(inputs, filters, alpha, kernel=(3, 3), strides=(1, 1)):
"""Adds an initial convolution layer (with batch normalization and relu6).
# Arguments
inputs: Input tensor of shape `(rows, cols, 3)`
(with `channels_last` data format) or
(3, rows, cols) (with `channels_fi... | Adds an initial convolution layer (with batch normalization and relu6).
# Arguments
inputs: Input tensor of shape `(rows, cols, 3)`
(with `channels_last` data format) or
(3, rows, cols) (with `channels_first` data format).
It should have exactly 3 inputs channels,
... | _conv_block | python | fchollet/deep-learning-models | mobilenet.py | https://github.com/fchollet/deep-learning-models/blob/master/mobilenet.py | MIT |
def _depthwise_conv_block(inputs, pointwise_conv_filters, alpha,
depth_multiplier=1, strides=(1, 1), block_id=1):
"""Adds a depthwise convolution block.
A depthwise convolution block consists of a depthwise conv,
batch normalization, relu6, pointwise convolution,
batch normali... | Adds a depthwise convolution block.
A depthwise convolution block consists of a depthwise conv,
batch normalization, relu6, pointwise convolution,
batch normalization and relu6 activation.
# Arguments
inputs: Input tensor of shape `(rows, cols, channels)`
(with `channels_last` data... | _depthwise_conv_block | python | fchollet/deep-learning-models | mobilenet.py | https://github.com/fchollet/deep-learning-models/blob/master/mobilenet.py | MIT |
def MusicTaggerCRNN(weights='msd', input_tensor=None,
include_top=True):
'''Instantiate the MusicTaggerCRNN architecture,
optionally loading weights pre-trained
on Million Song Dataset. Note that when using TensorFlow,
for best performance you should set
`image_dim_ordering="tf"`... | Instantiate the MusicTaggerCRNN architecture,
optionally loading weights pre-trained
on Million Song Dataset. Note that when using TensorFlow,
for best performance you should set
`image_dim_ordering="tf"` in your Keras config
at ~/.keras/keras.json.
The model and the weights are compatible with... | MusicTaggerCRNN | python | fchollet/deep-learning-models | music_tagger_crnn.py | https://github.com/fchollet/deep-learning-models/blob/master/music_tagger_crnn.py | MIT |
def identity_block(input_tensor, kernel_size, filters, stage, block):
"""The identity block is the block that has no conv layer at shortcut.
# Arguments
input_tensor: input tensor
kernel_size: defualt 3, the kernel size of middle conv layer at main path
filters: list of integers, the fi... | The identity block is the block that has no conv layer at shortcut.
# Arguments
input_tensor: input tensor
kernel_size: defualt 3, the kernel size of middle conv layer at main path
filters: list of integers, the filterss of 3 conv layer at main path
stage: integer, current stage lab... | identity_block | python | fchollet/deep-learning-models | resnet50.py | https://github.com/fchollet/deep-learning-models/blob/master/resnet50.py | MIT |
def conv_block(input_tensor, kernel_size, filters, stage, block, strides=(2, 2)):
"""conv_block is the block that has a conv layer at shortcut
# Arguments
input_tensor: input tensor
kernel_size: defualt 3, the kernel size of middle conv layer at main path
filters: list of integers, the ... | conv_block is the block that has a conv layer at shortcut
# Arguments
input_tensor: input tensor
kernel_size: defualt 3, the kernel size of middle conv layer at main path
filters: list of integers, the filterss of 3 conv layer at main path
stage: integer, current stage label, used f... | conv_block | python | fchollet/deep-learning-models | resnet50.py | https://github.com/fchollet/deep-learning-models/blob/master/resnet50.py | MIT |
def ResNet50(include_top=True, weights='imagenet',
input_tensor=None, input_shape=None,
pooling=None,
classes=1000):
"""Instantiates the ResNet50 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance ... | Instantiates the ResNet50 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance you should set
`image_data_format="channels_last"` in your Keras config
at ~/.keras/keras.json.
The model and the weights are compatible with both
... | ResNet50 | python | fchollet/deep-learning-models | resnet50.py | https://github.com/fchollet/deep-learning-models/blob/master/resnet50.py | MIT |
def VGG16(include_top=True, weights='imagenet',
input_tensor=None, input_shape=None,
pooling=None,
classes=1000):
"""Instantiates the VGG16 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance you should set
... | Instantiates the VGG16 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance you should set
`image_data_format="channels_last"` in your Keras config
at ~/.keras/keras.json.
The model and the weights are compatible with both
Te... | VGG16 | python | fchollet/deep-learning-models | vgg16.py | https://github.com/fchollet/deep-learning-models/blob/master/vgg16.py | MIT |
def VGG19(include_top=True, weights='imagenet',
input_tensor=None, input_shape=None,
pooling=None,
classes=1000):
"""Instantiates the VGG19 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance you should set
... | Instantiates the VGG19 architecture.
Optionally loads weights pre-trained
on ImageNet. Note that when using TensorFlow,
for best performance you should set
`image_data_format="channels_last"` in your Keras config
at ~/.keras/keras.json.
The model and the weights are compatible with both
Te... | VGG19 | python | fchollet/deep-learning-models | vgg19.py | https://github.com/fchollet/deep-learning-models/blob/master/vgg19.py | MIT |
def Xception(include_top=True, weights='imagenet',
input_tensor=None, input_shape=None,
pooling=None,
classes=1000):
"""Instantiates the Xception architecture.
Optionally loads weights pre-trained
on ImageNet. This model is available for TensorFlow only,
and can o... | Instantiates the Xception architecture.
Optionally loads weights pre-trained
on ImageNet. This model is available for TensorFlow only,
and can only be used with inputs following the TensorFlow
data format `(width, height, channels)`.
You should set `image_data_format="channels_last"` in your Keras ... | Xception | python | fchollet/deep-learning-models | xception.py | https://github.com/fchollet/deep-learning-models/blob/master/xception.py | MIT |
def beam_search_generator(sess, net, initial_state, initial_sample,
early_term_token, beam_width, forward_model_fn, forward_args):
'''Run beam search! Yield consensus tokens sequentially, as a generator;
return when reaching early_term_token (newline).
Args:
sess: tensorflow session reference
... | Run beam search! Yield consensus tokens sequentially, as a generator;
return when reaching early_term_token (newline).
Args:
sess: tensorflow session reference
net: tensorflow net graph (must be compatible with the forward_net function)
initial_state: initial hidden state of the net
... | beam_search_generator | python | pender/chatbot-rnn | chatbot.py | https://github.com/pender/chatbot-rnn/blob/master/chatbot.py | MIT |
def __init__(self, cell_fn, partition_size=128, partitions=1, layers=2):
"""Create a RNN cell composed sequentially of a number of RNNCells.
Args:
cell_fn: reference to RNNCell function to create each partition in each layer.
partition_size: how many horizontal cells to include i... | Create a RNN cell composed sequentially of a number of RNNCells.
Args:
cell_fn: reference to RNNCell function to create each partition in each layer.
partition_size: how many horizontal cells to include in each partition.
partitions: how many horizontal partitions to include ... | __init__ | python | pender/chatbot-rnn | model.py | https://github.com/pender/chatbot-rnn/blob/master/model.py | MIT |
def _rnn_state_placeholders(state):
"""Convert RNN state tensors to placeholders, reflecting the same nested tuple structure."""
# Adapted from @carlthome's comment:
# https://github.com/tensorflow/tensorflow/issues/2838#issuecomment-302019188
if isinstance(state, tf.contrib.rnn.LSTMStateTuple):
... | Convert RNN state tensors to placeholders, reflecting the same nested tuple structure. | _rnn_state_placeholders | python | pender/chatbot-rnn | model.py | https://github.com/pender/chatbot-rnn/blob/master/model.py | MIT |
def forward_model(self, sess, state, input_sample):
'''Run a forward pass. Return the updated hidden state and the output probabilities.'''
shaped_input = np.array([[input_sample]], np.float32)
inputs = {self.input_data: shaped_input}
self.add_state_to_feed_dict(inputs, state)
[p... | Run a forward pass. Return the updated hidden state and the output probabilities. | forward_model | python | pender/chatbot-rnn | model.py | https://github.com/pender/chatbot-rnn/blob/master/model.py | MIT |
def check_container_exec_instances(context, num):
"""Modern docker versions remove ExecIDs after they finished, but older
docker versions leave ExecIDs behind. This test is for asserting that
the ExecIDs are cleaned up one way or another"""
container_info = context.docker_client.inspect_container(
... | Modern docker versions remove ExecIDs after they finished, but older
docker versions leave ExecIDs behind. This test is for asserting that
the ExecIDs are cleaned up one way or another | check_container_exec_instances | python | Yelp/paasta | general_itests/steps/paasta_execute_docker_command.py | https://github.com/Yelp/paasta/blob/master/general_itests/steps/paasta_execute_docker_command.py | Apache-2.0 |
def tail_paasta_logs_let_threads_be_threads(context):
"""This test lets tail_paasta_logs() fire off processes to do work. We
verify that the work was done, basically irrespective of how it was done.
"""
service = "fake_service"
context.levels = ["fake_level1", "fake_level2"]
context.components =... | This test lets tail_paasta_logs() fire off processes to do work. We
verify that the work was done, basically irrespective of how it was done.
| tail_paasta_logs_let_threads_be_threads | python | Yelp/paasta | general_itests/steps/tail_paasta_logs.py | https://github.com/Yelp/paasta/blob/master/general_itests/steps/tail_paasta_logs.py | Apache-2.0 |
def register_bounce_method(name: str) -> Callable[[BounceMethod], BounceMethod]:
"""Returns a decorator that registers that bounce function at a given name
so get_bounce_method_func can find it."""
def outer(bounce_func: BounceMethod):
_bounce_method_funcs[name] = bounce_func
return bounce_... | Returns a decorator that registers that bounce function at a given name
so get_bounce_method_func can find it. | register_bounce_method | python | Yelp/paasta | paasta_tools/bounce_lib.py | https://github.com/Yelp/paasta/blob/master/paasta_tools/bounce_lib.py | Apache-2.0 |
def brutal_bounce(
new_config: BounceMethodConfigDict,
new_app_running: bool,
happy_new_tasks: Collection,
old_non_draining_tasks: Sequence,
margin_factor=1.0,
) -> BounceMethodResult:
"""Pays no regard to safety. Starts the new app if necessary, and kills any
old ones. Mostly meant as an ex... | Pays no regard to safety. Starts the new app if necessary, and kills any
old ones. Mostly meant as an example of the simplest working bounce method,
but might be tolerable for some services.
:param new_config: The configuration dictionary representing the desired new app.
:param new_app_running: Whethe... | brutal_bounce | python | Yelp/paasta | paasta_tools/bounce_lib.py | https://github.com/Yelp/paasta/blob/master/paasta_tools/bounce_lib.py | Apache-2.0 |
def upthendown_bounce(
new_config: BounceMethodConfigDict,
new_app_running: bool,
happy_new_tasks: Collection,
old_non_draining_tasks: Sequence,
margin_factor=1.0,
) -> BounceMethodResult:
"""Starts a new app if necessary; only kills old apps once all the requested tasks for the new version are ... | Starts a new app if necessary; only kills old apps once all the requested tasks for the new version are running.
See the docstring for brutal_bounce() for parameters and return value.
| upthendown_bounce | python | Yelp/paasta | paasta_tools/bounce_lib.py | https://github.com/Yelp/paasta/blob/master/paasta_tools/bounce_lib.py | Apache-2.0 |
def crossover_bounce(
new_config: BounceMethodConfigDict,
new_app_running: bool,
happy_new_tasks: Collection,
old_non_draining_tasks: Sequence,
margin_factor=1.0,
) -> BounceMethodResult:
"""Starts a new app if necessary; slowly kills old apps as instances of the new app become happy.
See t... | Starts a new app if necessary; slowly kills old apps as instances of the new app become happy.
See the docstring for brutal_bounce() for parameters and return value.
| crossover_bounce | python | Yelp/paasta | paasta_tools/bounce_lib.py | https://github.com/Yelp/paasta/blob/master/paasta_tools/bounce_lib.py | Apache-2.0 |
def downthenup_bounce(
new_config: BounceMethodConfigDict,
new_app_running: bool,
happy_new_tasks: Collection,
old_non_draining_tasks: Sequence,
margin_factor=1.0,
) -> BounceMethodResult:
"""Stops any old apps and waits for them to die before starting a new one.
See the docstring for bruta... | Stops any old apps and waits for them to die before starting a new one.
See the docstring for brutal_bounce() for parameters and return value.
| downthenup_bounce | python | Yelp/paasta | paasta_tools/bounce_lib.py | https://github.com/Yelp/paasta/blob/master/paasta_tools/bounce_lib.py | Apache-2.0 |
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