Package related to data tainting.

Data tainting allows to follow the flow of some data throughout the execution trace. This package exposes the taint algorithm available in REVEN v2 through an (experimental and simplified) API.

Starting with the Taint API

The entry point of the API is the Tainter.simple_taint method, that allows to return a Taint object parameterized by the data you wish to taint and the range of the taint.

>>> # Spawning a taint with a tainter.simple_taint
>>> tainter = reven2.preview.taint.Tainter(trace)
>>> taint = tainter.simple_taint(tag0="[ds:0xffff88007cb95800 ; 27]", from_context=trace.context_before(0),
...                              to_context=trace.context_after(2968406), is_forward=False)
>>> taint
Taint Object (from_context=Context before #0, to_context=Context before #2968407, direction=Backward,
granularity=Instruction)

Once you have a Taint object, you can query the results produced by the taint using a variety of TaintResultView objects.

>>> # Getting changes and states from a taint
>>> print(next(taint.changes().all()))
Taint change at #2960185 rep movsb byte ptr [rdi], byte ptr [rsi]
Tainted memories:
[phy:0x77bcccb8; 3] : gained[tag0,]
[phy:0x7cb95818; 3] : lost[tag0,]
>>> print(taint.state_at(trace.context_before(0)))
Taint state at Context before #0
Tainted memories:
[phy:0x779fe80e; 19] : [tag0,]
[phy:0x779fe828; 1] : [tag0,]
[phy:0x779fe83b; 7] : [tag0,]

The taint produces three types of results:

• TaintState: the state of the taint at some Context, that indicates which data is currently tainted.
• TaintChange: a change to the state of taint at some Transition, that indicates which data is newly tainted and which data just lost the taint.
• TaintWarning: a list of warning messages associated to a range of Transitions, that indicate that something may be incorrect in the taint propagation. Users are encouraged to check manually the correctness of these range of Transitions, especially if the range contains one or more TaintChange, in which case it is likely to have had an effect on the taint.

Please refer to the documentation of Taint.changes, Taint.states, Taint.warnings and TaintResultView for more information on querying results.

What does it mean for some data to be tainted?

When data is tainted, it means that it is marked with a taint marker. During the (forward) taint propagation, if some piece of data that has a taint marker influences another, it also transmits the taint marker to this other piece of data (in backward propagation, the relationship is "depends on another").

The taint algorithm in REVENv2 can operate with multiple taint markers. This means each piece of data can be marked with zero, one or several taint markers. A marker is defined by its name, and by an integer handle (for efficiency reasons when manipulating multiple markers).

In the simplified API, only two predefined taint markers, "tag0" and "tag1" are available in taints, but we plan to allow taints with an arbitrary number of taint markers in the future.

Specificities of the Taint API

Compared to the other objects available in the API, the Taint object is special in several ways:

• The quantity of results it produces is mutable, that is, the quantity of produced results may change over time.
• The taint is a server-side background process, and as of today, this comes with a few limitations.

The two next sections go in details over these points.

Mutable Results

While the taint can be very fast (may traverse billions of instructions in a few seconds), sometimes the taint process can last for a long time (especially when there are a lot of changes to the taint state). It would be possible to wait for the taint to finish before accessing the results, but meanwhile, your script would not be able to advance. The current taint makes its results available as soon as they are computed. This means that is you query the results on a taint that is not finished, you will not get all the results of the taint, only those that are computed at the time of the query.

The API exposes various handles to address this problem:

• The Progress class gives you the current status of the taint (whether it is still running or not), and the last taint state that was computed.

  >>> # Fetching the progress of a Taint
  >>> taint.progress()
  TaintProgress(last_known_state_id=0, status=Finished)

• When querying results, the API returns subclasses of the TaintResultView class. This builds "views" of the queried results, where results can be fetched by polling repeatedly the available results with the TaintResultView.available method, or the user can wait for all results to be produced with the TaintResultView.all method.

  >>> # Fetching results
  >>> changes = taint.changes()
  >>> for change in changes.available():
  ...     print(change.transition.id)
  21
  27
  52
  >>> for change in changes.available():
  ...     print(change.transition.id)
  87
  101
  >>> for change in taint.changes().all():
  ...     print(change.transition.id)
  21
  27
  52
  87
  101

Server-side background process

As of today, the main limitation to the taint being a server-side background process is that there can only be one taint processed at the same time per server. Starting a second taint, be it in Axion of through the API by using Tainter.simple_taint, immediately cancels and discards the results of the first taint.

NOTE: Currently, starting a new taint can confuse Axion and Python clients that were in the middle of requesting results from a previous taint, resulting in the clients mixing results from the previous and the new taint. To avoid this issue, always make sure that no client is in the middle of requesting results from a taint before starting another one.