MEDS: Enhancing Memory Error Detection for Large-Scale Applications

Related tags

Deep LearningMEDS
Overview

MEDS: Enhancing Memory Error Detection for Large-Scale Applications

Prerequisites

  • cmake and clang

Build MEDS supporting compiler

$ make

Build Using Docker

# build docker image
$ docker build -t meds .

# run docker image
$ docker run --cap-add=SYS_PTRACE -it meds /bin/bash

Testing MEDS

  • MEDS's testing runs original ASAN's testcases as well as MEDS specific testcases.

    • Copied ASAN's testcases in llvm/projects/compiler-rt/test/meds/TestCases/ASan
    • MEDS specific testcases in llvm/projects/compiler-rt/test/meds/TestCases/Meds
  • To run the test,

$ make test

Testing Time: 30.70s
 Expected Passes    : 183
 Expected Failures  : 1
 Unsupported Tests  : 50

Build applications with MEDS heap allocation and ASan stack and global

  • Given a test program test.cc,
$ cat > test.cc

int main(int argc, char **argv) {
  int *a = new int[10];
  a[argc * 10] = 1;
  return 0;
}
  • test.cc can be built using the option, -fsanitize=meds.
$ build/bin/clang++ -fsanitize=meds test.cc -o test
$ ./test

==90589==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x43fff67eb078 at pc 0x0000004f926d bp 0x7fffffffe440 sp 0x7fffffffe438
WRITE of size 4 at 0x43fff67eb078 thread T0
    #0 0x4f926c in main (/home/wookhyun/release/meds-release/a.out+0x4f926c)
    #1 0x7ffff6b5c82f in __libc_start_main /build/glibc-bfm8X4/glibc-2.23/csu/../csu/libc-start.c:291
    #2 0x419cb8 in _start (/home/wookhyun/release/meds-release/a.out+0x419cb8)

Address 0x43fff67eb078 is a wild pointer.
SUMMARY: AddressSanitizer: heap-buffer-overflow (/home/wookhyun/release/meds-release/a.out+0x4f926c) in main
Shadow bytes around the buggy address:
  0x08807ecf55b0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x08807ecf55c0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x08807ecf55d0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x08807ecf55e0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x08807ecf55f0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
=>0x08807ecf5600: fa fa fa fa fa fa fa fa fa fa 00 00 00 00 00[fa]
  0x08807ecf5610: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x08807ecf5620: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x08807ecf5630: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x08807ecf5640: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x08807ecf5650: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
Shadow byte legend (one shadow byte represents 8 application bytes):
  Addressable:           00
  Partially addressable: 01 02 03 04 05 06 07
  Heap left redzone:       fa
  Freed heap region:       fd
  Stack left redzone:      f1
  Stack mid redzone:       f2
  Stack right redzone:     f3
  Stack after return:      f5
  Stack use after scope:   f8
  Global redzone:          f9
  Global init order:       f6
  Poisoned by user:        f7
  Container overflow:      fc
  Array cookie:            ac
  Intra object redzone:    bb
  ASan internal:           fe
  Left alloca redzone:     ca
  Right alloca redzone:    cb
==90589==ABORTING

Options

  • -fsanitize=meds: Enable heap protection using MEDS (stack and global are protected using ASAN)

  • -mllvm -meds-stack=1: Enable stack protection using MEDS

  • -mllvm -meds-global=1 -mcmodel=large: Enable global protection using MEDS

    • This also requires --emit-relocs in LDFLAGS
  • Example: to protect heap/stack using MEDS and global using ASAN

$ clang -fsanitize=meds -mllvm -meds-stack=1 test.c -o test
  • Example: to protect heap/global using MEDS and stack using ASAN
$ clang -fsanitize=meds -mllvm -meds-global=1 -mcmodel=large -Wl,-emit-relocs test.c -o test
  • Example: to protect heap/stack/global using MEDS
$ clang -fsanitize=meds -mllvm -meds-stack=1 -mllvm -meds-global=1 -mcmodel=large -Wl,--emit-relocs

Contributors

Owner
Secomp Lab at Purdue University
Secomp Lab at Purdue University
This repository contains the code and models necessary to replicate the results of paper: How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

Black-Box-Defense This repository contains the code and models necessary to replicate the results of our recent paper: How to Robustify Black-Box ML M

OPTML Group 2 Oct 05, 2022
unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier"

SquarePlus (Pytorch implement) unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier" SquarePlus Squareplus is a Softplus-L

SeeFun 3 Dec 29, 2021
Tracking Progress in Question Answering over Knowledge Graphs

Tracking Progress in Question Answering over Knowledge Graphs Table of contents Question Answering Systems with Descriptions The QA Systems Table cont

Knowledge Graph Question Answering 47 Jan 02, 2023
An implementation of chunked, compressed, N-dimensional arrays for Python.

Zarr Latest Release Package Status License Build Status Coverage Downloads Gitter Citation What is it? Zarr is a Python package providing an implement

Zarr Developers 1.1k Dec 30, 2022
The Noise Contrastive Estimation for softmax output written in Pytorch

An NCE implementation in pytorch About NCE Noise Contrastive Estimation (NCE) is an approximation method that is used to work around the huge computat

Kaiyu Shi 287 Nov 25, 2022
Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021)

TDEER 🦌 🦒 Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021) Overview TDEE

33 Dec 23, 2022
The end-to-end platform for building voice products at scale

Picovoice Made in Vancouver, Canada by Picovoice Picovoice is the end-to-end platform for building voice products on your terms. Unlike Alexa and Goog

Picovoice 318 Jan 07, 2023
How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.

AdamBNN This is the pytorch implementation of our paper "How Do Adam and Training Strategies Help BNNs Optimization?", published in ICML 2021. In this

Zechun Liu 47 Sep 20, 2022
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

The goal of Project CodeNet is to provide the AI-for-Code research community with a large scale, diverse, and high quality curated dataset to drive innovation in AI techniques.

International Business Machines 1.2k Jan 04, 2023
Human Dynamics from Monocular Video with Dynamic Camera Movements

Human Dynamics from Monocular Video with Dynamic Camera Movements Ri Yu, Hwangpil Park and Jehee Lee Seoul National University ACM Transactions on Gra

215 Jan 01, 2023
Code for Boundary-Aware Segmentation Network for Mobile and Web Applications

BASNet Boundary-Aware Segmentation Network for Mobile and Web Applications This repository contain implementation of BASNet in tensorflow/keras. comme

Hamid Ali 8 Nov 24, 2022
Sync2Gen Code for ICCV 2021 paper: Scene Synthesis via Uncertainty-Driven Attribute Synchronization

Sync2Gen Code for ICCV 2021 paper: Scene Synthesis via Uncertainty-Driven Attribute Synchronization 0. Environment Environment: python 3.6 and cuda 10

Haitao Yang 62 Dec 30, 2022
MODNet: Trimap-Free Portrait Matting in Real Time

MODNet is a model for real-time portrait matting with only RGB image input.

Zhanghan Ke 2.8k Dec 30, 2022
A repo that contains all the mesh keys needed for mesh backend, along with a code example of how to use them in python

Mesh-Keys A repo that contains all the mesh keys needed for mesh backend, along with a code example of how to use them in python Have been seeing alot

Joseph 53 Dec 13, 2022
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations Requirements python 3.6 torch 1.9 numpy 1.19 Quick Start The experimen

DMIRLAB 4 Oct 16, 2022
C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion By: David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedal

Meta Research 309 Dec 16, 2022
A Simple Framwork for CV Pre-training Model (SOCO, VirTex, BEiT)

A Simple Framwork for CV Pre-training Model (SOCO, VirTex, BEiT)

Sense-GVT 14 Jul 07, 2022
PyTorch implementation of PSPNet segmentation network

pspnet-pytorch PyTorch implementation of PSPNet segmentation network Original paper Pyramid Scene Parsing Network Details This is a slightly different

Roman Trusov 532 Dec 29, 2022
Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"

Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data

Ayush Daksh 12 Dec 01, 2022
Testing the Facial Emotion Recognition (FER) algorithm on animations

PegHeads-Tutorial-3 Testing the Facial Emotion Recognition (FER) algorithm on animations

PegHeads Inc 2 Jan 03, 2022