Research on Intelligent Detection of Command Level Stack Pollution for Binary Program Analysis

How to efficiently and reasonably analyze binary programs has always been the primary issue in the field of software security. As for the stack, the current technology has begun to show limitations on various conditions. In this work, we will introduce a technique for intelligently detecting the sta...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Mobile networks and applications Ročník 26; číslo 4; s. 1723 - 1732
Hlavní autoři: Lu, Hui, Jin, Chengjie, Helu, Xiaohan, Zhang, Man, Sun, Yanbin, Han, Yi, Tian, Zhihong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.08.2021
Springer Nature B.V
Témata:
Communications Engineering
Computer Communication Networks
Electrical Engineering
Engineering
IT in Business
Networks
Pollution
Stack space
Binary programs
Instruction-level
Stack pollution
Software security
Semantic functions
ISSN:1383-469X, 1572-8153
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:How to efficiently and reasonably analyze binary programs has always been the primary issue in the field of software security. As for the stack, the current technology has begun to show limitations on various conditions. In this work, we will introduce a technique for intelligently detecting the stack space and operating its readable and writable area (referred to as stack pollution). We innovatively defined the concept of “stack pollution” and raised the level of analysis from byte level to instruction level: Control flow recovery and instruction promotion based on the McSema tool. The “stack pollution” technology is a process of intelligently and intact “polluting” the required research space objects, solving the three stack space constraints by modifying SEM (semantic functions) interpretation of the instructions in the promotion process.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-019-01507-0