eavesROP: Listening for ROP Payloads in Data Streams
Jämthagen, Christopher LU ; Karlsson, Linus LU
; Stankovski, Paul
LU
and Hell, Martin
LU
(2014)
ISC 2014
In Lecture Notes in Computer Science
8783.
p.413-424
- Abstract
- We consider the problem of detecting exploits based on
return-oriented programming. In contrast to previous works we investigate
to which extent we can detect ROP payloads by only analysing
streaming data, i.e., we do not assume any modifications to the target
machine, its kernel or its libraries. Neither do we attempt to execute any
potentially malicious code in order to determine if it is an attack. While
such a scenario has its limitations, we show that using a layered approach
with a filtering mechanism together with the Fast Fourier Transform, it
is possible to detect ROP payloads even in the presence of noise and
assuming that the target system employs... (More) - We consider the problem of detecting exploits based on
return-oriented programming. In contrast to previous works we investigate
to which extent we can detect ROP payloads by only analysing
streaming data, i.e., we do not assume any modifications to the target
machine, its kernel or its libraries. Neither do we attempt to execute any
potentially malicious code in order to determine if it is an attack. While
such a scenario has its limitations, we show that using a layered approach
with a filtering mechanism together with the Fast Fourier Transform, it
is possible to detect ROP payloads even in the presence of noise and
assuming that the target system employs ASLR. Our approach, denoted
eavesROP, thus provides a very lightweight and easily deployable mitigation
against certain ROP attacks. It also provides the added merit
of detecting the presence of a brute-force attack on ASLR since library
base addresses are not assumed to be known by eavesROP. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4861887
- author
- Jämthagen, Christopher
LU
; Karlsson, Linus
LU
; Stankovski, Paul
LU
and Hell, Martin
LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Return-Oriented Programming, ROP, Pattern Matching, ASLR
- host publication
- Information Security/Lecture Notes in Computer Science
- series title
- Lecture Notes in Computer Science
- editor
- Chow, Sherman S. M. ; Camenisch, Jan ; Hui, Lucas C. K. and Yiu, Siu Ming
- volume
- 8783
- pages
- 413 - 424
- publisher
- Springer
- conference name
- ISC 2014
- conference dates
- 2014-10-12 - 2014-10-14
- external identifiers
-
- scopus:84921341193
- ISSN
- 0302-9743
- ISBN
- 978-3-319-13256-3
- 978-3-319-13257-0
- DOI
- 10.1007/978-3-319-13257-0_25
- language
- English
- LU publication?
- yes
- id
- 0fde4dfb-021b-4f03-8019-e239b9a19c02 (old id 4861887)
- date added to LUP
- 2016-04-04 11:44:16
- date last changed
- 2025-01-06 20:27:50
@inproceedings{0fde4dfb-021b-4f03-8019-e239b9a19c02,
abstract = {{We consider the problem of detecting exploits based on<br/><br>
return-oriented programming. In contrast to previous works we investigate<br/><br>
to which extent we can detect ROP payloads by only analysing<br/><br>
streaming data, i.e., we do not assume any modifications to the target<br/><br>
machine, its kernel or its libraries. Neither do we attempt to execute any<br/><br>
potentially malicious code in order to determine if it is an attack. While<br/><br>
such a scenario has its limitations, we show that using a layered approach<br/><br>
with a filtering mechanism together with the Fast Fourier Transform, it<br/><br>
is possible to detect ROP payloads even in the presence of noise and<br/><br>
assuming that the target system employs ASLR. Our approach, denoted<br/><br>
eavesROP, thus provides a very lightweight and easily deployable mitigation<br/><br>
against certain ROP attacks. It also provides the added merit<br/><br>
of detecting the presence of a brute-force attack on ASLR since library<br/><br>
base addresses are not assumed to be known by eavesROP.}},
author = {{Jämthagen, Christopher and Karlsson, Linus and Stankovski, Paul and Hell, Martin}},
booktitle = {{Information Security/Lecture Notes in Computer Science}},
editor = {{Chow, Sherman S. M. and Camenisch, Jan and Hui, Lucas C. K. and Yiu, Siu Ming}},
isbn = {{978-3-319-13256-3}},
issn = {{0302-9743}},
keywords = {{Return-Oriented Programming; ROP; Pattern Matching; ASLR}},
language = {{eng}},
pages = {{413--424}},
publisher = {{Springer}},
series = {{Lecture Notes in Computer Science}},
title = {{eavesROP: Listening for ROP Payloads in Data Streams}},
url = {{https://lup.lub.lu.se/search/files/12849163/eavesROP.pdf}},
doi = {{10.1007/978-3-319-13257-0_25}},
volume = {{8783}},
year = {{2014}},
}