Towards understanding and mitigating attacks leveraging zero-day exploits

Zero-day vulnerabilities are unknown and therefore not addressed with the result that they can be exploited by attackers to gain unauthorised system access. In order to understand and mitigate against attacks leveraging zero-days or unknown techniques, it is necessary to study the vulnerabilities, exploits and attacks that make use of them. In recent years there have been a number of leaks publishing such attacks using various methods to exploit vulnerabilities. This research seeks to understand what types of vulnerabilities exist, why and how these are exploited, and how to defend against such attacks by either mitigating the vulnerabilities or the method / process of exploiting them. By moving beyond merely remedying the vulnerabilities to defences that are able to prevent or detect the actions taken by attackers, the security of the information system will be better positioned to deal with future unknown threats. An interesting finding is how attackers exploit moving beyond the observable bounds to circumvent security defences, for example, compromising syslog servers, or going down to lower system rings to gain access. However, defenders can counter this by employing defences that are external to the system preventing attackers from disabling them or removing collected evidence after gaining system access. Attackers are able to defeat air-gaps via the leakage of electromagnetic radiation as well as misdirect attribution by planting false artefacts for forensic analysis and attacking from third party information systems. They analyse the methods of other attackers to learn new techniques. An example of this is the Umbrage project whereby malware is analysed to decide whether it should be implemented as a proof of concept. Another important finding is that attackers respect defence mechanisms such as: remote syslog (e.g. firewall), core dump files, database auditing, and Tripwire (e.g. SlyHeretic). These defences all have the potential to result in the attacker being discovered. Attackers must either negate the defence mechanism or find unprotected targets. Defenders can use technologies such as encryption to defend against interception and man-in-the-middle attacks. They can also employ honeytokens and honeypots to alarm misdirect, slow down and learn from attackers. By employing various tactics defenders are able to increase their chance of detecting and time to react to attacks, even those exploiting hitherto unknown vulnerabilities. To summarize the information presented in this thesis and to show the practical importance thereof, an examination is presented of the NSA's network intrusion of the SWIFT organisation. It shows that the firewalls were exploited with remote code execution zerodays. This attack has a striking parallel in the approach used in the recent VPNFilter malware. If nothing else, the leaks provide information to other actors on how to attack and what to avoid. However, by studying state actors, we can gain insight into what other actors with fewer resources can do in the future

Ransomware Simulator for In-Depth Analysis and Detection: Leveraging Centralized Logging and Sysmon for Improved Cybersecurity

Abstract Ransomware attacks have become increasingly prevalent and sophisticated, posing significant threats to organizations and individuals worldwide. To effectively combat these threats, security professionals must continuously develop and adapt their detection and mitigation strategies. This master thesis presents the design and implementation of a ransomware simulator to facilitate an in-depth analysis of ransomware Tactics, Techniques, and Procedures (TTPs) and to evaluate the effectiveness of centralized logging and Sysmon, including the latest event types, in detecting and responding to such attacks. The study explores the advanced capabilities of Sysmon as a logging tool and data source, focusing on its ability to capture multiple event types, such as file creation, process execution, and network traffic, as well as the newly added event types. The aim is to demonstrate the effectiveness of Sysmon in detecting and analyzing malicious activities, with an emphasis on the latest features. By focusing on the comprehensive aspects of a cyber-attack, the study showcases the versatility and utility of Sysmon in detecting and addressing various attack vectors. The ransomware simulator is developed using a PowerShell script that emulates various ransomware TTPs and attack scenarios, providing a comprehensive and realistic simulation of a ransomware attack. Sysmon, a powerful system monitoring tool, is utilized to monitor and log the activities associated with the simulated attack, including the events generated by the new Sysmon features. Centralized logging is achieved through the integration of Splunk Enterprise, a widely used platform for log analysis and management. The collected logs are then analyzed to identify patterns, indicators of compromise (IoCs), and potential detection and mitigation strategies. Through the development of the ransomware simulator and the subsequent analysis of Sysmon logs, this research contributes to strengthening the security posture of organizations and improving cybersecurity measures against ransomware threats, with a focus on the latest Sysmon capabilities. The results demonstrate the importance of monitoring and analyzing system events to effectively detect and respond to ransomware attacks. This research can serve as a basis for further exploration of ransomware detection and response strategies, contributing to the advancement of cybersecurity practices and the development of more robust security measures against ransomware threats

Direct Numerical Simulations

To understand and model the turbulent behavior of flowing fluids is one of the most fascinating, intriguing, annoying, and most important problems of engineering and physics. Admittedly most of the fluid flows are turbulent. In the known universe, turbulence is evident at the macroscopic scale and the microscopic scale in identical proportions. Turbulence is manifested in many places, such as: a plethora of technological devices, atmospheres and ocean currents, astronomical or galactic motions, and biological systems like circulation or respiration. With the continuum as an assumption, the equations that define the physics of fluid flow are the Navier-Stokes equations modeled during the mid-19th Century by Claude-Louis Navier and Sir George Gabriel Stokes. These equations define all flows, even turbulent flows, yet there is no analytical solution to even the simplest turbulent flow possible. However, the numerical solution of the Navier-Stokes equation is able to describe the flow variable as a function of space and time. It is called direct numerical simulations (DNS), which is the subject matter of this book

Advanced Topics in Systems Safety and Security

This book presents valuable research results in the challenging field of systems (cyber)security. It is a reprint of the Information (MDPI, Basel) - Special Issue (SI) on Advanced Topics in Systems Safety and Security. The competitive review process of MDPI journals guarantees the quality of the presented concepts and results. The SI comprises high-quality papers focused on cutting-edge research topics in cybersecurity of computer networks and industrial control systems. The contributions presented in this book are mainly the extended versions of selected papers presented at the 7th and the 8th editions of the International Workshop on Systems Safety and Security—IWSSS. These two editions took place in Romania in 2019 and respectively in 2020. In addition to the selected papers from IWSSS, the special issue includes other valuable and relevant contributions. The papers included in this reprint discuss various subjects ranging from cyberattack or criminal activities detection, evaluation of the attacker skills, modeling of the cyber-attacks, and mobile application security evaluation. Given this diversity of topics and the scientific level of papers, we consider this book a valuable reference for researchers in the security and safety of systems

Towards an efficient vulnerability analysis methodology for better security risk management

2010 Summer.Includes bibliographical references.Risk management is a process that allows IT managers to balance between cost of the protective measures and gains in mission capability. A system administrator has to make a decision and choose an appropriate security plan that maximizes the resource utilization. However, making the decision is not a trivial task. Most organizations have tight budgets for IT security; therefore, the chosen plan must be reviewed as thoroughly as other management decisions. Unfortunately, even the best-practice security risk management frameworks do not provide adequate information for effective risk management. Vulnerability scanning and penetration testing that form the core of traditional risk management, identify only the set of system vulnerabilities. Given the complexity of today's network infrastructure, it is not enough to consider the presence or absence of vulnerabilities in isolation. Materializing a threat strongly requires the combination of multiple attacks using different vulnerabilities. Such a requirement is far beyond the capabilities of current day vulnerability scanners. Consequently, assessing the cost of an attack or cost of implementing appropriate security controls is possible only in a piecemeal manner. In this work, we develop and formalize new network vulnerability analysis model. The model encodes in a concise manner, the contributions of different security conditions that lead to system compromise. We extend the model with a systematic risk assessment methodology to support reasoning under uncertainty in an attempt to evaluate the vulnerability exploitation probability. We develop a cost model to quantify the potential loss and gain that can occur in a system if certain conditions are met (or protected). We also quantify the security control cost incurred to implement a set of security hardening measures. We propose solutions for the system administrator's decision problems covering the area of the risk analysis and risk mitigation analysis. Finally, we extend the vulnerability assessment model to the areas of intrusion detection and forensic investigation

Secure Service Provisioning (SSP) Framework for IP Multimedia Subsystem (IMS)

Mit dem Erscheinen mobiler Multimediadienste, wie z. B. Unified Messaging, Click-to-Dial-Applikationen, netzwerkübergeifende Multimedia-Konferenzen und nahtlose Multimedia-Streming-Dienste, begann die Konvergenz von mobilen Kommunikationsetzen und Festnetzen, begleitet von der Integration von Sprach- und Datenkommunikations-Übertragungstechnik Diese Entwicklungen bilden die Voraussetzung für die Verschmelzung des modernen Internet auf der einen Seite mit der Telekommunikation im klassischen Sinne auf der anderen. Das IP Multimedia-Subsystem (IMS) darf hierbei als die entscheidende Next-Generation-Service-Delivery-Plattform in einer vereinheitlichten Kommunikationswelt angesehen werden. Seine Architektur basiert auf einem modularen Design mit offenen Schnittstellen und bietet dedizierte Voraussetzungen zur Unterstützung von Multimedia-Diensten auf der Grundlage der Internet-Protokolle. Einhergehend mit dieser aufkommenden offenen Technologie stellen sich neue Sicherheits-Herausforderungen in einer vielschichtigen Kommunikationsinfrastruktur, im Wesentlichen bestehend aus dem Internet Protokoll (IP), dem SIP-Protokoll (Session Initiation Protocol) und dem Real-time Transport Protokoll (RTP). Die Zielsetzung des Secure Service Provisioning-Systems (SSP) ist, mögliche Angriffsszenarien und Sicherheitslücken in Verbindung mit dem IP Multimedia Subsystem zu erforschen und Sicherheitslösungen, wie sie von IETF, 3GPP und TISPAN vorgeschlagen werden, zu evaluieren. Im Rahmen dieser Forschungsarbeit werden die Lösungen als Teil des SSP-Systems berücksichtigt, mit dem Ziel, dem IMS und der Next-Generation-SDP einen hinreichenden Schutz zu garantieren. Dieser Teil, der als Sicherheitsschutzstufe 1 bezeichnet wird, beinhaltet unter anderem Maßnahmen zur Nutzer- und Netzwerk-Authentifizierung, die Autorisierung der Nutzung von Multimediadiensten und Vorkehrungen zur Gewährleistung der Geheimhaltung und Integrität von Daten im Zusammenhang mit dem Schutz vor Lauschangriffen, Session-Hijacking- und Man-in-the-Middle-Angriffen. Im nächsten Schritt werden die Beschränkungen untersucht, die für die Sicherheitsschutzstufe 1 charakteristisch sind und Maßnahmen zu Verbesserung des Sicherheitsschutzes entwickelt. Die entsprechenden Erweiterungen der Sicherheitsschutzstufe 1 führen zu einem Intrusion Detection and Prevention-System (IDP), das Schutz vor Denial-of-Service- (DoS) / Distributed-Denial-of-Service (DDoS)-Angriffen, missbräuchlicher Nutzung und Täuschungsversuchen in IMS-basierten Netzwerken bietet. Weder 3GPP noch TISPAN haben bisher Lösungen für diesen Bereich spezifiziert. In diesem Zusammenhang können die beschriebenen Forschungs- und Entwicklungsarbeiten einen Beitrag zur Standardisierung von Lösungen zum Schutz vor DoS- und DDoS-Angriffen in IMS-Netzwerken leisten. Der hier beschriebene Ansatz basiert auf der Entwicklung eines (stateful / stateless) Systems zur Erkennung und Verhinderung von Einbruchsversuchen (Intrusion Detection and Prevention System). Aus Entwicklungssicht wurde das IDP in zwei Module aufgeteilt: Das erste Modul beinhaltet die Basisfunktionen des IDP, die sich auf Flooding-Angriffe auf das IMS und ihre Kompensation richten. Ihr Ziel ist es, das IMS-Core-Netzwerk und die IMS-Ressourcen vor DoS- und DDoS-Angriffen zu schützen. Das entsprechende Modul basiert auf einer Online Stateless-Detection-Methodologie und wird aktiv, sobald die CPU-Auslastung der P-CSCF (Proxy-Call State Control Function) einen vordefinierten Grenzwert erreicht oder überschreitet. Das zweite Modul (IDP-AS) hat die Aufgabe, Angriffe, die sich gegen IMS Application Server (AS) richten abzufangen. Hierbei konzentrieren sich die Maßnahmen auf den Schutz des ISC-Interfaces zwischen IMS Core und Application Servern. Das betreffende Modul realisiert eine Stateful Detection Methodologie zur Erkennung missbräuchlicher Nutzungsaktivitäten. Während der Nutzer mit dem Application Server kommuniziert, werden dabei nutzerspezifische Zustandsdaten aufgezeichnet, die zur Prüfung der Legitimität herangezogen werden. Das IDP-AS prüft alle eingehenden Requests und alle abgehenden Responses, die von IMS Application Servern stammen oder die an IMS Application Server gerichtet sind, auf ihre Zulässigkeit im Hinblick auf die definierten Attack Rules. Mit Hilfe der Kriterien Fehlerfreiheit und Processing Delay bei der Identifikation potenzieller Angriffe wird die Leistungsfähigkeit der IDP-Module bewertet. Für die entsprechenden Referenzwerte werden hierbei die Zustände Nomallast und Überlast verglichen. Falls die Leistungsfähigkeit des IDP nicht unter den Erwartungen zurückbleibt, wird ein IDP-Prototyp zur Evaluation im Open IMS Playground des Fokus Fraunhofer 3Gb-Testbeds eingesetzt, um unter realen Einsatzbedingungen z. B. in VoIP-, Videokonferenz- , IPTV-, Presence- und Push-to-Talk-Szenarien getestet werden zu können.With the emergence of mobile multimedia services, such as unified messaging, click to dial, cross network multiparty conferencing and seamless multimedia streaming services, the fixed–mobile convergence and voice–data integration has started, leading to an overall Internet–Telecommunications merger. The IP Multimedia Subsystem (IMS) is considered as the next generation service delivery platform in the converged communication world. It consists of modular design with open interfaces and enables the flexibility for providing multimedia services over IP technology. In parallel this open based emerging technology has security challenges from multiple communication platforms and protocols like IP, Session Initiation Protocol (SIP) and Real-time Transport Protocol (RTP). The objective of Secure Service Provisioning (SSP) Framework is to cram the potential attacks and security threats to IP Multimedia Subsystem (IMS) and to explore security solutions developed by IETF, 3GPP and TISPAN. This research work incorporates these solutions into SSP Framework to secure IMS and next generation Service Delivery Platform (SDP). We define this part as level 1 security protection which includes user and network authentication, authorization to access multimedia services, providing confidentiality and integrity protection etc. against eavesdropping, session hijacking and man-in-the middle attacks etc. In the next step, we have investigated the limitations and improvements to level 1 security and proposed the enhancement and extension as level 2 security by developing Intrusion Detection and Prevention (IDP) system against Denial-of-Service (DoS)/Distributed DoS (DDoS) flooding attacks, misuses and frauds in IMS-based networks. These security threats recently have been identified by 3GPP and TISPAN but no solution is recommended and developed. Therefore our solution may be considered as recommendation in future. Our approach based on developing both stateless and stateful intrusion detection and prevention system. From development point of view, we have divided the work into two modules: the first module is IDP-Core; addressing and mitigating the flooding attacks in IMS core. Its objective is to protect the IMS resources and IMS-core entities from DoS/DDoS flooding attacks. This module based on online stateless detection methodology and activates when CPU processing load of P-CSCF (Proxy-Call State Control Function) reaches or crosses the defined threshold limit. The second module is IDP-AS; addressing and mitigating the misuse attacks facing to IMS Application Servers (AS). Its focus is to secure the ISC interface between IMS Core and Application Servers. This module is based on stateful misuse detection methodology by creating and comparing user state (partner) when he/she is communicating with application server to check whether user is performing legitimate or illegitimate action with attacks rules. The IDP-AS also compared the incoming request and outgoing response to and from IMS Application Servers with the defined attacks rules. In the performance analysis, the processing delay and attacks detection accuracy of both Intrusion Detection and Prevention (IDP) modules have been measured at Fraunhofer FOKUS IMS Testbed which is developed for research purpose. The performance evaluation based on normal and overload conditions scenarios. The results showed that the processing delay introduced by both IDP modules satisfied the standard requirements and did not cause retransmission of SIP REGISTER and INVITE requests. The developed prototype is under testing phase at Fraunhofer FOKUS 3Gb Testbed for evaluation in real world communication scenarios like VoIP, video conferencing, IPTV, presence, push-to-talk etc

A composable approach to design of newer techniques for large-scale denial-of-service attack attribution

Since its early days, the Internet has witnessed not only a phenomenal growth, but also a large number of security attacks, and in recent years, denial-of-service (DoS) attacks have emerged as one of the top threats. The stateless and destination-oriented Internet routing combined with the ability to harness a large number of compromised machines and the relative ease and low costs of launching such attacks has made this a hard problem to address. Additionally, the myriad requirements of scalability, incremental deployment, adequate user privacy protections, and appropriate economic incentives has further complicated the design of DDoS defense mechanisms. While the many research proposals to date have focussed differently on prevention, mitigation, or traceback of DDoS attacks, the lack of a comprehensive approach satisfying the different design criteria for successful attack attribution is indeed disturbing. Our first contribution here has been the design of a composable data model that has helped us represent the various dimensions of the attack attribution problem, particularly the performance attributes of accuracy, effectiveness, speed and overhead, as orthogonal and mutually independent design considerations. We have then designed custom optimizations along each of these dimensions, and have further integrated them into a single composite model, to provide strong performance guarantees. Thus, the proposed model has given us a single framework that can not only address the individual shortcomings of the various known attack attribution techniques, but also provide a more wholesome counter-measure against DDoS attacks. Our second contribution here has been a concrete implementation based on the proposed composable data model, having adopted a graph-theoretic approach to identify and subsequently stitch together individual edge fragments in the Internet graph to reveal the true routing path of any network data packet. The proposed approach has been analyzed through theoretical and experimental evaluation across multiple metrics, including scalability, incremental deployment, speed and efficiency of the distributed algorithm, and finally the total overhead associated with its deployment. We have thereby shown that it is realistically feasible to provide strong performance and scalability guarantees for Internet-wide attack attribution. Our third contribution here has further advanced the state of the art by directly identifying individual path fragments in the Internet graph, having adopted a distributed divide-and-conquer approach employing simple recurrence relations as individual building blocks. A detailed analysis of the proposed approach on real-life Internet topologies with respect to network storage and traffic overhead, has provided a more realistic characterization. Thus, not only does the proposed approach lend well for simplified operations at scale but can also provide robust network-wide performance and security guarantees for Internet-wide attack attribution. Our final contribution here has introduced the notion of anonymity in the overall attack attribution process to significantly broaden its scope. The highly invasive nature of wide-spread data gathering for network traceback continues to violate one of the key principles of Internet use today - the ability to stay anonymous and operate freely without retribution. In this regard, we have successfully reconciled these mutually divergent requirements to make it not only economically feasible and politically viable but also socially acceptable. This work opens up several directions for future research - analysis of existing attack attribution techniques to identify further scope for improvements, incorporation of newer attributes into the design framework of the composable data model abstraction, and finally design of newer attack attribution techniques that comprehensively integrate the various attack prevention, mitigation and traceback techniques in an efficient manner

Intrusion Detection for Cyber-Physical Attacks in Cyber-Manufacturing System

In the vision of Cyber-Manufacturing System (CMS) , the physical components such as products, machines, and tools are connected, identifiable and can communicate via the industrial network and the Internet. This integration of connectivity enables manufacturing systems access to computational resources, such as cloud computing, digital twin, and blockchain. The connected manufacturing systems are expected to be more efficient, sustainable and cost-effective. However, the extensive connectivity also increases the vulnerability of physical components. The attack surface of a connected manufacturing environment is greatly enlarged. Machines, products and tools could be targeted by cyber-physical attacks via the network. Among many emerging security concerns, this research focuses on the intrusion detection of cyber-physical attacks. The Intrusion Detection System (IDS) is used to monitor cyber-attacks in the computer security domain. For cyber-physical attacks, however, there is limited work. Currently, the IDS cannot effectively address cyber-physical attacks in manufacturing system: (i) the IDS takes time to reveal true alarms, sometimes over months; (ii) manufacturing production life-cycle is shorter than the detection period, which can cause physical consequences such as defective products and equipment damage; (iii) the increasing complexity of network will also make the detection period even longer. This gap leaves the cyber-physical attacks in manufacturing to cause issues like over-wearing, breakage, defects or any other changes that the original design didn’t intend. A review on the history of cyber-physical attacks, and available detection methods are presented. The detection methods are reviewed in terms of intrusion detection algorithms, and alert correlation methods. The attacks are further broken down into a taxonomy covering four dimensions with over thirty attack scenarios to comprehensively study and simulate cyber-physical attacks. A new intrusion detection and correlation method was proposed to address the cyber-physical attacks in CMS. The detection method incorporates IDS software in cyber domain and machine learning analysis in physical domain. The correlation relies on a new similarity-based cyber-physical alert correlation method. Four experimental case studies were used to validate the proposed method. Each case study focused on different aspects of correlation method performance. The experiments were conducted on a security-oriented manufacturing testbed established for this research at Syracuse University. The results showed the proposed intrusion detection and alert correlation method can effectively disclose unknown attack, known attack and attack interference that causes false alarms. In case study one, the alarm reduction rate reached 99.1%, with improvement of detection accuracy from 49.6% to 100%. The case studies also proved the proposed method can mitigate false alarms, detect attacks on multiple machines, and attacks from the supply chain. This work contributes to the security domain in cyber-physical manufacturing systems, with the focus on intrusion detection. The dataset collected during the experiments has been shared with the research community. The alert correlation methodology also contributes to cyber-physical systems, such as smart grid and connected vehicles, which requires enhanced security protection in today’s connected world

An Architecture for Misconfiguration Patching of Web Services: A Case Study of Apache Server

Services are usually left configured by default and therefore subjects to vulnerabilities because they are not security enforced. Web services are so popular that they are targets of attacks to intrusions related to vulnerabilities discovered by attackers. This work proposes an architecture for patching Web service misconfigurations related to existing vulnerabilities. The approach underlying this architecture first retrieves and structures anti-vulnerability measures published by the official service manufacturers. Second, it evaluates the risk level using Common Vulnerability Scoring System (CVSS) on the current state of configurations. The proposed approach has been applied on Apache server on four vulnerabilities: version discovery, XSS, SQL injection and deny of service. Experimental results on a vulnerable environment demonstrate that the proposed approach considerably reduces vulnerabilities compared to similar solutions