Introducing SFADIFF at 2016 ACM SIGSAC Conference on Computer and Communications Security (CCS ‘16)
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
This blog post serves as a followup to the B-Sides Athens 2017 talk entitled “Lightbulb framework – shedding light on the dark side of WAFs and Filters”. Thr...
This year, on BSides Athens, we will introduce a new and efficient graphical interface for the lightbulb framework, directly integrated to the Burp Proxy Sui...
This blog post serves as a followup to the B-Sides Athens 2017 talk entitled “Lightbulb framework – shedding light on the dark side of WAFs and Filters”. Thr...
This year, on BSides Athens, we will introduce a new and efficient graphical interface for the lightbulb framework, directly integrated to the Burp Proxy Sui...
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
This blog post serves as a followup to the B-Sides Athens 2017 talk entitled “Lightbulb framework – shedding light on the dark side of WAFs and Filters”. Thr...
This year, on BSides Athens, we will introduce a new and efficient graphical interface for the lightbulb framework, directly integrated to the Burp Proxy Sui...
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
This blog post serves as a followup to the B-Sides Athens 2017 talk entitled “Lightbulb framework – shedding light on the dark side of WAFs and Filters”. Thr...
This year, on BSides Athens, we will introduce a new and efficient graphical interface for the lightbulb framework, directly integrated to the Burp Proxy Sui...
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
This blog post serves as a followup to the B-Sides Athens 2017 talk entitled “Lightbulb framework – shedding light on the dark side of WAFs and Filters”. Thr...
This year, on BSides Athens, we will introduce a new and efficient graphical interface for the lightbulb framework, directly integrated to the Burp Proxy Sui...
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
This blog post serves as a followup to the B-Sides Athens 2017 talk entitled “Lightbulb framework – shedding light on the dark side of WAFs and Filters”. Thr...
This year, on BSides Athens, we will introduce a new and efficient graphical interface for the lightbulb framework, directly integrated to the Burp Proxy Sui...
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
In this presentation we introduce a novel, efficient, approach for bypassing WAFs using automata learning algorithms.
SFADIFF, the black-box differential testing framework based on Symbolic Finite Automata (SFA) learning, was presented in ACM CCS 2016
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...
SFA Learning and GOFA algorithm, were presented in IEEE SP 2016, at the “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters” present...