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Adding a new detector
Slither's plugin architecture lets you integrate new detectors that run from the command line.
The skeleton for a detector is:
from slither.detectors.abstract_detector import AbstractDetector, DetectorClassification
class Skeleton(AbstractDetector):
"""
Documentation
"""
ARGUMENT = 'mydetector' # slither will launch the detector with slither.py --mydetector
HELP = 'Help printed by slither'
IMPACT = DetectorClassification.HIGH
CONFIDENCE = DetectorClassification.HIGH
WIKI = ''
WIKI_TITLE = ''
WIKI_DESCRIPTION = ''
WIKI_EXPLOIT_SCENARIO = ''
WIKI_RECOMMENDATION = ''
def _detect(self):
return []
-
ARGUMENT
lets you run the detector from the command line -
HELP
is the information printed from the command line -
IMPACT
indicates the impact of the issue. Allowed values are:-
DetectorClassification.INFORMATIONAL
: printed in green -
DetectorClassification.LOW
: printed in green -
DetectorClassification.MEDIUM
: printed in yellow -
DetectorClassification.HIGH
: printed in red
-
-
CONFIDENCE
indicates your confidence in the analysis. Allowed values are:DetectorClassification.LOW
DetectorClassification.MEDIUM
DetectorClassification.HIGH
detect()
needs to return a list of findings. To facilitate the automation of Slither, a finding is a dictionary containing a vuln
key associated with the vulnerability name and additional information according to the vulnerability itself.
An AbstractDetector
object has the slither
attribute, which returns the current Slither
object, and the log(str)
function to print the result.
You can integrate your detector into Slither by:
- Adding it in slither/detectors and in main.py#L105-160
- or, by creating a plugin package (see the skeleton example).
If you want to add your detector to trailofbits/slither, create a unit-test in tests and update scripts/travis_test_4.sh to run the unit-test automatically.
deepdiff is needed to run travis_test.sh
:
pip install deepdiff
backdoor.py will detect any function with backdoor
in its name.