Comments (1)
Thank you for reaching out.
Both JaSt and JStap are malicious JavaScript detectors. JaSt was our initial work (published in 2018) and JStap (published in 2019) is a refinement, which is more modular and enables to detect malicious JS more precisely.
At a high level (see enclosed figures):
- JaSt works at AST (Abstract Syntax Tree) level to distinguish benign from malicious JS;
- JStap goes beyond relying on the pure code syntax by also considering control and data flow information (i.e., considers more semantic information). JStap is composed of ten modules (we define a "module" based on a chosen code abstraction, like AST or Data Flow Graph, and the way we extract features). Modules can be used both independently or combined, for a higher detection accuracy.
One of JStap module (AST + n-gram features) is conceptually identical to JaSt. Note that due to some slight improvements (I can be more verbose here if necessary), this JStap module has a slightly higher detection accuracy than JaSt (on the same dataset).
You can find precise detection performance numbers in Sections 3.2 and 3.3 of our JStap paper.
I hope this answers your question. I am happy to clarify or be more verbose if necessary.
from jast.
Related Issues (8)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from jast.