Thanks to visit codestin.com
Credit goes to github.com

Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -124,3 +124,4 @@ tm_example.dot
#Others
plantuml.jar
tm/
/sqldump
1 change: 1 addition & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@

## New features

- Add JSON output [#102](https://github.com/izar/pytm/pull/102)
- Use numbered dataflow labels in sequence diagram [#94](https://github.com/izar/pytm/pull/94)
- Move authenticateDestination to base Element [#88](https://github.com/izar/pytm/pull/88)
- Assign inputs and outputs to all elements [#89](https://github.com/izar/pytm/pull/89)
Expand Down
5 changes: 2 additions & 3 deletions pytm/__init__.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,4 @@
__all__ = ['Element', 'Server', 'ExternalEntity', 'Datastore', 'Actor', 'Process', 'SetOfProcesses', 'Dataflow', 'Boundary', 'TM', 'Action', 'Lambda', 'Threat', 'Classification', 'Data']
__all__ = ['Element', 'Server', 'ExternalEntity', 'Datastore', 'Actor', 'Process', 'SetOfProcesses', 'Dataflow', 'Boundary', 'TM', 'Action', 'Lambda', 'Threat', 'Classification', 'Data', 'load', 'loads']

from .pytm import Element, Server, ExternalEntity, Dataflow, Datastore, Actor, Process, SetOfProcesses, Boundary, TM, Action, Lambda, Threat, Classification, Data


from .json import load, loads
104 changes: 104 additions & 0 deletions pytm/json.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,104 @@
import json
import sys

from .pytm import (
TM,
Boundary,
Element,
Dataflow,
Server,
ExternalEntity,
Datastore,
Actor,
Process,
SetOfProcesses,
Action,
Lambda,
)


def loads(s):
result = json.loads(s, object_hook=decode)
if not isinstance(result, TM):
raise ValueError("Failed to decode JSON input as TM")
return result


def load(fp):
result = json.load(fp, object_hook=decode)
if not isinstance(result, TM):
raise ValueError("Failed to decode JSON input as TM")
return result


def decode(data):
if "elements" not in data and "flows" not in data and "boundaries" not in data:
return data

boundaries = decode_boundaries(data.pop("boundaries", []))
elements = decode_elements(data.pop("elements", []), boundaries)
decode_flows(data.pop("flows", []), elements)

if "name" not in data:
raise ValueError("name property missing for threat model")
if "onDuplicates" in data:
data["onDuplicates"] = Action(data["onDuplicates"])
return TM(data.pop("name"), **data)


def decode_boundaries(flat):
boundaries = {}
refs = {}
for i, e in enumerate(flat):
name = e.pop("name", None)
if name is None:
raise ValueError(f"name property missing in boundary {i}")
if "inBoundary" in e:
refs[name] = e.pop("inBoundary")
e = Boundary(name, **e)
boundaries[name] = e

# do a second pass to resolve self-references
for b in boundaries.values():
if b.name not in refs:
continue
b.inBoundary = boundaries[refs[b.name]]

return boundaries


def decode_elements(flat, boundaries):
elements = {}
for i, e in enumerate(flat):
klass = getattr(sys.modules[__name__], e.pop("__class__", "Asset"))
name = e.pop("name", None)
if name is None:
raise ValueError(f"name property missing in element {i}")
if "inBoundary" in e:
if e["inBoundary"] not in boundaries:
raise ValueError(
f"element {name} references invalid boundary {e['inBoundary']}"
)
e["inBoundary"] = boundaries[e["inBoundary"]]
e = klass(name, **e)
elements[name] = e

return elements


def decode_flows(flat, elements):
for i, e in enumerate(flat):
name = e.pop("name", None)
if name is None:
raise ValueError(f"name property missing in dataflow {i}")
if "source" not in e:
raise ValueError(f"dataflow {name} is missing source property")
if e["source"] not in elements:
raise ValueError(f"dataflow {name} references invalid source {e['source']}")
source = elements[e.pop("source")]
if "sink" not in e:
raise ValueError(f"dataflow {name} is missing sink property")
if e["sink"] not in elements:
raise ValueError(f"dataflow {name} references invalid sink {e['sink']}")
sink = elements[e.pop("sink")]
Dataflow(source, sink, name, **e)
Loading