20,896 research outputs found
Do not trust me: Using malicious IdPs for analyzing and attacking Single Sign-On
Single Sign-On (SSO) systems simplify login procedures by using an an
Identity Provider (IdP) to issue authentication tokens which can be consumed by
Service Providers (SPs). Traditionally, IdPs are modeled as trusted third
parties. This is reasonable for SSO systems like Kerberos, MS Passport and
SAML, where each SP explicitely specifies which IdP he trusts. However, in open
systems like OpenID and OpenID Connect, each user may set up his own IdP, and a
discovery phase is added to the protocol flow. Thus it is easy for an attacker
to set up its own IdP. In this paper we use a novel approach for analyzing SSO
authentication schemes by introducing a malicious IdP. With this approach we
evaluate one of the most popular and widely deployed SSO protocols - OpenID. We
found four novel attack classes on OpenID, which were not covered by previous
research, and show their applicability to real-life implementations. As a
result, we were able to compromise 11 out of 16 existing OpenID implementations
like Sourceforge, Drupal and ownCloud. We automated discovery of these attacks
in a open source tool OpenID Attacker, which additionally allows fine-granular
testing of all parameters in OpenID implementations. Our research helps to
better understand the message flow in the OpenID protocol, trust assumptions in
the different components of the system, and implementation issues in OpenID
components. It is applicable to other SSO systems like OpenID Connect and SAML.
All OpenID implementations have been informed about their vulnerabilities and
we supported them in fixing the issues
An Empirical Study of Security Issues Posted in Open Source Projects
When developers gain thorough understanding and knowledge of software security, they can produce more secure software. This study aims at empirically identifying and understanding the security issues posted on a random sample of GitHub repositories. We tried to understand the presence of security issues and their key themes and topics. We applied a mixed-methods approach, combining topic modeling techniques and qualitative analysis. Our findings have revealed that a) the rate of security-related issues was rather small (approx. 3% of all issues), b) the majority of the security issues were related to identity management and cryptography topics. We present 7 high-level themes of problems that developers face in implementing security features
FLAIM: A Multi-level Anonymization Framework for Computer and Network Logs
FLAIM (Framework for Log Anonymization and Information Management) addresses
two important needs not well addressed by current log anonymizers. First, it is
extremely modular and not tied to the specific log being anonymized. Second, it
supports multi-level anonymization, allowing system administrators to make
fine-grained trade-offs between information loss and privacy/security concerns.
In this paper, we examine anonymization solutions to date and note the above
limitations in each. We further describe how FLAIM addresses these problems,
and we describe FLAIM's architecture and features in detail.Comment: 16 pages, 4 figures, in submission to USENIX Lis
A Practical Approach to Protect IoT Devices against Attacks and Compile Security Incident Datasets
open access articleThe Internet of Things (IoT) introduced the opportunity of remotely manipulating home appliances (such as heating systems, ovens, blinds, etc.) using computers and mobile devices. This idea fascinated people and originated a boom of IoT devices together with an increasing demand that was difficult to support. Many manufacturers quickly created hundreds of devices implementing functionalities but neglected some critical issues pertaining to device security. This oversight gave rise to the current situation where thousands of devices remain unpatched having many security issues that manufacturers cannot address after the devices have been produced and deployed. This article presents our novel research protecting IOT devices using Berkeley Packet Filters (BPFs) and evaluates our findings with the aid of our Filter.tlk tool, which is able to facilitate the development of BPF expressions that can be executed by GNU/Linux systems with a low impact on network packet throughput
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