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Sendroiu Adrian

dblp:167/0585 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2Human-computer interaction and ubiquitous computing · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Systems and software security · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › exploitation
control-flow hijacking
0.212016
Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks · IEEE Symposium on Security and Privacy 2016
Systems and software security › exploitation
non-control data attack
0.212016
Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks · IEEE Symposium on Security and Privacy 2016
Systems and software security
exploitation
0.212015
Automatic Generation of Data-Oriented Exploits · USENIX Security Symposium 2015
Systems and software security › exploitation
exploit generation
0.212015
Automatic Generation of Data-Oriented Exploits · USENIX Security Symposium 2015
Systems and software security
vulnerability discovery
0.212015
Automatic Generation of Data-Oriented Exploits · USENIX Security Symposium 2015

Methods — techniques the papers use, named apart from their topics

turing-completeness proof · 0.2gadget identification · 0.2automatic exploit generation · 0.2
YearPublicationVenuePosition
2024 Using the Open Source Collaborative Model for Digital Educational Content
Razvan Nitu, Alexandru Apostolescu, Liza Babu, Mihai Barut, Razvan Adrian Deaconescu, Teodor-Stefan Dutu, Stefan-Dorin Jumarea, Viorel-Gabriel Mocanu, Vlad-Iulius Nastase, Sendroiu Adrian, Sergiu Weisz, Anna Helga Jónsdóttir, Eggert Karl Hafsteinsson, Gunnar Stefansson
CSEDU (1)10
2016 Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks
abstract
As control-flow hijacking defenses gain adoption, it is important to understand the remaining capabilities of adversaries via memory exploits. Non-control data exploits are used to mount information leakage attacks or privilege escalation attacks program memory. Compared to control-flow hijacking attacks, such non-control data exploits have limited expressiveness, however, the question is: what is the real expressive power of non-control data attacks? In this paper we show that such attacks are Turing-complete. We present a systematic technique called data-oriented programming (DOP) to construct expressive non-control data exploits for arbitrary x86 programs. In the experimental evaluation using 9 programs, we identified 7518 data-oriented x86 gadgets and 5052 gadget dispatchers, which are the building blocks for DOP. 8 out of 9 real-world programs have gadgets to simulate arbitrary computations and 2 of them are confirmed to be able to build Turing-complete attacks. We build 3 end-to-end attacks to bypass randomization defenses without leaking addresses, to run a network bot which takes commands from the attacker, and to alter the memory permissions. All the attacks work in the presence of ASLR and DEP, demonstrating how the expressiveness offered by DOP significantly empowers the attacker.
Hong Hu 0004, Shweta Shinde, Sendroiu Adrian, Zheng Leong Chua, Prateek Saxena, Zhenkai Liang
IEEE Symposium on Security and Privacy3
2015 Automatic Generation of Data-Oriented Exploits
Hong Hu 0004, Zheng Leong Chua, Sendroiu Adrian, Prateek Saxena, Zhenkai Liang
USENIX Security Symposium3