binja: use LLIR SSA to do better stack cookie detection

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6,043 stars (6,043 stars)

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Avg merge 6d 6h (Avg merge 6d 6h)15 merged PRs in 30d (15 merged PRs in 30d)

Description

Contributor guide

Research direction

Study the existing stack cookie detection logic in capa/features/extractors/binja/insn.py at the linked line, then explore how to leverage LLIR SSA (low level intermediate representation static single assignment) to improve detection accuracy. Review Binary Ninja's LLIL/SSA documentation and compare with current approach.

Tech stack

python

Domain

securityreverse engineering

Issue type

Refactor

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

4

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-2 days

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Mostly clear

Prerequisites

Binary NinjaLLIR SSAstack cookies

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

30