24 research outputs found

    The innocent hill walker

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    Criminals are going to ever more extreme lengths to get access to company systems and home computers, according to Les Ball and Natalie Coull

    Emergent requirements for supporting introductory programming

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    The problems associated with learning and teaching first year University Computer Science (CS1) programming classes are summarized showing that various support tools and techniques have been developed and evaluated. From this review of applicable support the paper derives ten requirements that a support tool should have in order to improve CS1 student success rate with respect to learning and understanding

    BlackWatch:increasing attack awareness within web applications

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    Web applications are relied upon by many for the services they provide. It is essential that applications implement appropriate security measures to prevent security incidents. Currently, web applications focus resources towards the preventative side of security. Whilst prevention is an essential part of the security process, developers must also implement a level of attack awareness into their web applications. Being able to detect when an attack is occurring provides applications with the ability to execute responses against malicious users in an attempt to slow down or deter their attacks. This research seeks to improve web application security by identifying malicious behaviour from within the context of web applications using our tool BlackWatch. The tool is a Python-based application which analyses suspicious events occurring within client web applications, with the objective of identifying malicious patterns of behaviour. This approach avoids issues typically encountered with traditional web application firewalls. Based on the results from a preliminary study, BlackWatch was effective at detecting attacks from both authenticated, and unauthenticated users. Furthermore, user tests with developers indicated BlackWatch was user friendly, and was easy to integrate into existing applications. Future work seeks to develop the BlackWatch solution further for public release

    Vulnerability anti-patterns:a timeless way to capture poor software practices (Vulnerabilities)

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    There is a distinct communication gap between the software engineering and cybersecurity communities when it comes to addressing reoccurring security problems, known as vulnerabilities. Many vulnerabilities are caused by software errors that are created by software developers. Insecure software development practices are common due to a variety of factors, which include inefficiencies within existing knowledge transfer mechanisms based on vulnerability databases (VDBs), software developers perceiving security as an afterthought, and lack of consideration of security as part of the software development lifecycle (SDLC). The resulting communication gap also prevents developers and security experts from successfully sharing essential security knowledge. The cybersecurity community makes their expert knowledge available in forms including vulnerability databases such as CAPEC and CWE, and pattern catalogues such as Security Patterns, Attack Patterns, and Software Fault Patterns. However, these sources are not effective at providing software developers with an understanding of how malicious hackers can exploit vulnerabilities in the software systems they create. As developers are familiar with pattern-based approaches, this paper proposes the use of Vulnerability Anti-Patterns (VAP) to transfer usable vulnerability knowledge to developers, bridging the communication gap between security experts and software developers. The primary contribution of this paper is twofold: (1) it proposes a new pattern template – Vulnerability Anti-Pattern – that uses anti-patterns rather than patterns to capture and communicate knowledge of existing vulnerabilities, and (2) it proposes a catalogue of Vulnerability Anti-Patterns (VAP) based on the most commonly occurring vulnerabilities that software developers can use to learn how malicious hackers can exploit errors in software

    A taxonomy of approaches for integrating attack awareness in applications

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    Software applications are subject to an increasing number of attacks, resulting in data breaches and financial damage. Many solutions have been considered to help mitigate these attacks, such as the integration of attack-awareness techniques. In this paper, we propose a taxonomy illustrating how existing attack awareness techniques can be integrated into applications. This work provides a guide for security researchers and developers, aiding them when choosing the approach which best fits the needs of their application

    Undermining:social engineering using open source intelligence gathering

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    Digital deposits are undergoing exponential growth. These may in turn be exploited to support cyber security initiatives through open source intelligence gathering. Open source intelligence itself is a doubleedged sword as the data may be harnessed not only by intelligence services to counter cyber-crime and terrorist activity but also by the perpetrator of criminal activity who use them to socially engineer online activity and undermine their victims. Our preliminary case study shows how the security of any company can be surreptitiously compromised by covertly gathering the open source personal data of the company’s employees and exploiting these in a cyber attack. Our method uses tools that can search, drill down and visualise open source intelligence structurally. It then exploits these data to organise creative spear phishing attacks on the unsuspecting victims who unknowingly activate the malware necessary to compromise the company’s computer systems. The entire process is the covert and virtual equivalent of overtly stealing someone’s password ‘over the shoulder’. A more sophisticated development of this case study will provide a seamless sequence of interoperable computing processes from the initial gathering of employee names to the successful penetration of security measures

    A methodology for testing virtualisation security

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    There is a growing interest in virtualisation due to its central role in cloud computing, virtual desktop environments and Green IT. Data centres and cloud computing utilise this technology to run multiple operating systems on one physical server, thus reducing hardware costs. However, vulnerabilities in the hypervisor layer have an impact on any virtual machines running on top, making security an important part of virtualisation. In this paper, we evaluate the security of virtualisation, including detection and escaping the environment. We present a methodology to investigate if a virtual machine can be detected and further compromised, based upon previous research. Finally, this methodology is used to evaluate the security of virtual machines. The methods used to evaluate the security include analysis of known vulnerabilities and fuzzing to test the virtual device drivers on three different platforms: VirtualBox, Hyper-V and VMware ESXI. Our results demonstrate that the attack surface of virtualisation is more prone to vulnerabilities than the hypervisor. Comparing our results with previous studies, each platform withstood IOCTL and random fuzzing, demonstrating that the platforms are more robust and secure than previously found. By building on existing research, the results show that security in the hypervisor has been improved. However, using the proposed methodology in this paper it has been shown that an attacker can easily determine that the machine is a virtual machine, which could be used for further exploitation. Finally, our proposed methodology can be utilised to effectively test the security of a virtualised environment

    On the creation of a secure key enclave via the use of memory isolation in systems management mode

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    One of the challenges of modern cloud computer security is how to isolate or contain data and applications in a variety of ways, while still allowing sharing where desirable. Hardware-based attacks such as RowHammer and Spectre have demonstrated the need to safeguard the cryptographic operations and keys from tampering upon which so much current security technology depends. This paper describes research into security mechanisms for protecting sensitive areas of memory from tampering or intrusion using the facilities of Systems Management Mode. The work focuses on the creation of a small, dedicated area of memory in which to perform cryptographic operations, isolated from the rest of the system. The approach has been experimentally validated by a case study involving the creation of a secure webserver whose encryption key is protected using this approach such that even an intruder with full Administrator level access cannot extract the key

    On the creation of a secure key enclave via the use of memory isolation in systems management mode

    Get PDF
    One of the challenges of modern cloud computer security is how to isolate or contain data and applications in a variety of ways, while still allowing sharing where desirable. Hardware-based attacks such as RowHammer and Spectre have demonstrated the need to safeguard the cryptographic operations and keys from tampering upon which so much current security technology depends. This paper describes research into security mechanisms for protecting sensitive areas of memory from tampering or intrusion using the facilities of Systems Management Mode. The work focuses on the creation of a small, dedicated area of memory in which to perform cryptographic operations, isolated from the rest of the system. The approach has been experimentally validated by a case study involving the creation of a secure webserver whose encryption key is protected using this approach such that even an intruder with full Administrator level access cannot extract the key

    Poster: Angry birding:evaluating application exceptions as attack canaries

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    Application exceptions are anomalous events occurring within the application. These can be caused by common issues such as simple programming errors; however, they can also originate from the side-effects of a trial-and-error process used in active attacks. Utilising attacker-induced exceptions as a canary for intrusion detection has been demonstrated as a feasible technique for SQL injection detection, but this has not been applied to other types of attacks. This paper proposes an approach to consider attacker-induced application exceptions as attack canaries. The work is part of an ongoing investigation on integrating detective defences into applications through established development practices
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