Am 30.01.2020 findet unser erstes Business-Frühstück im neuen Jahr statt – und das direkt mit einem Top-Thema.
IT-Security hat heute jedes Unternehmen auf dem Radar. Was aber ist mit den leicht angreifbaren Produktionsumgebungen? Live-Hack und Gegenmaßnahmen werden bei unserem Business-Frühstück erläutert.
Bei frischem Kaffee und knusprigen Brötchen starten wir in das Jahr 2020 mit unserem ersten diesjährigen Business-Frühstück.
In der jüngeren Vergangenheit wurden immer häufiger Produktions- und Steuerungsanlagen Ziel für Hackerangriffe. Oftmals richtet sich so ein Angriff gegen die verwendeten SPS (Speicher-Programmierbare Steuerungen), die in nahezu jeder Prodktionsumgebung zum Einsatz kommen.
Im Gegensatz zu mittlerweile i.d.R. gut geschützten IT-Umgebungen, bieten Produktionsumgebungen einfache Angriffsflächen mit großem Schadenpotenzial. Risiken hierbei sind oftmals vielfach größer, da nicht nur einzelne Unternehmen betroffen sein können, sondern im Falle von Angriffen, z.B. auf öffentliche Versorger eine weitreichende Wirkung erzielt werden kann.
Wir zeigen auf, welche Art Angriffe es in der jüngeren Vergangenheit zu verzeichnen gab und welche Konsequenzen hieraus erwuchsen.
In einer Live-Demo wird der Referent zeigen, wie einfach eine SPS heute angreifbar ist. Im Nachgang werden recht preiswerte und einfache Möglichkeiten aufgezeigt, wie der Schutz der Infrastruktur hier verbessert werden kann.
Abschließend laden wir zum offenen Austausch untereinander ein.
Melden Sie sich an via E-Mail an vertrieb@oberberg.net, persönlich bei Ihrem Oberberg-Online Ansprechpartner, oder auf unserer XING-Eventseite
Wir freuen uns auf ein spannendes Event mit Ihnen.
By Talos Group
Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Jan 3 and Jan 10. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are automatically protected from these threats.
As a reminder, the information provided for the following threats in this post is non-exhaustive and current as of the date of publication. Additionally, please keep in mind that IOC searching is only one part of threat hunting. Spotting a single IOC does not necessarily indicate maliciousness. Detection and coverage for the following threats is subject to updates, pending additional threat or vulnerability analysis. For the most current information, please refer to your Firepower Management Center, Snort.org, or ClamAV.net.
Read More
Reference:
TRU01102020 – This is a JSON file that includes the IOCs referenced in this post, as well as all hashes associated with the cluster. The list is limited to 25 hashes in this blog post. As always, please remember that all IOCs contained in this document are indicators, and that one single IOC does not indicate maliciousness. See the Read More link above for more details.
The post Threat Roundup for January 3 to January 10 appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Brad Casemore When IDC consults with enterprise customers or performs worldwide surveys, security is invariably an acute concern. That’s regardless of geography, industry, and identity of respondent (executive, LoB, IT, DevOps, etc.). While the challenge of providing protection and security extends across all places in the network, the problem is especially vexing in the datacenter.
There’s good reason for that, of course. The parameters of the datacenter have been redrawn by the unrelenting imperative of digital transformation and the embrace of multicloud, which together have had substantive implications for workload protection and data security.
As workloads become distributed – residing in on-premises enterprise datacenters, in co-location facilities, in public clouds, and also in edge environments – networking and network-security challenges proliferate and become more distributed in nature. Not only are these workloads distributed, but they’re increasingly dynamic and portable, subject to migration and movement between on-premises datacenters and public clouds.
Data proliferates in lockstep with these increasingly distributed workloads. This data can inform and enhance the digital experiences and productivity of employees, contractors, business partners, and customers, all of whom regularly interact with applications residing across a distributed environment of datacenters. The value of datacenters is ever greater, but so are the risks of data breaches and thefts, perpetrated by malevolent parties that are increasingly sophisticated.
In that cloud is not only a destination but also an operating model, the rise of cloud-native applications and DevOps practices have added further complications. As DevOps teams adopt continuous integration and continuous deployment (CI/CD) to keep up with the need for business speed and as developers leverage containers and microservices for agility and simplicity, traditional security paradigms – predicated on sometimes rigid controls and restrictions – are under unprecedented pressure. For enterprises, the choice seems to be between the agility of cloud and cloud-native application environments on one side and the control and safety of traditional datacenter-security practices on the other.
Perhaps that isn’t true, though. There is a way to move forward that gives organizations both agility and effective security controls, without compromise on either front. Put another way, there needn’t a permanent unresolved tension between the need for business agility and the require for strong security, capable of providing the controls that organizations want while aligning more closely with business outcomes.
The first step toward this goal involves achieving visibility. If you can’t see threats, you can’t protect against them. This visibility must be both pervasive and real-time, capable of sensing and facilitating responses to anomalies and threats that span users, devices, applications, workloads, and processes (workflow). From a network standpoint, visibility must be available within datacenters – into north-south and east-west traffic flows –between them, and out to campus and branch sites as well as to clouds. The visibility should extend up the stack, too, all the way to application components and behavior, giving organizations views into potentially malicious activity such as data exfiltration and the horizontal spread of malware from server to server.
Once visibility is achieved, organizations can leverage the insights it provides to implement policy-based segmentation comprehensively and effectively, mitigating lateral propagation of attacks within and between datacenters and preventing bad actors from gaining access to high-value datacenter assets.
The foundations of visibility and policy-based segmentation, in turn, facilitate a holistic approach to threat protection, helping to establish an extensive network of capabilities and defenses that can quickly detect and respond to threats and vulnerabilities before they result in data loss or prohibitively costly business disruptions.
While it might seem that cloud-era business agility and effective security are irreconcilable interests, there is a path forward that merges the two in unqualified alignment.
For more information, see the Cisco-IDC webinar: https://engage2demand.cisco.com/lp_datacenters_18976?DTID=odiprl000517&CCID=cc000159&OID=wbrsc019628.
The post Datacenter Security: How to Balance Business Agility with Great Protection appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Talos Group
Cisco Talos works with many organizations around the world, monitoring and protecting against sophisticated threats every day. As such, we are watching the current state of events in the Middle East very closely for our customers and partners who may be impacted by the ongoing situation. We are continuing to evaluate potential threats and attack vectors, especially related to critical infrastructure and high-profile businesses and industries.
A challenge with protecting against state-sponsored campaigns is that the primary and ideal targets are potentially already compromised, either by a specific adversary or their allies who would be amenable to acting on their behalf. In previous research, Talos has observed footholds like this that can go undetected for extended periods, waiting to be modified remotely to exact a variety of potential malicious activities.
It may be difficult for primary target organizations to detect activity and defend themselves at the perimeter. Hopefully, they have employed a layered defense, which should include two-factor authentication, network segmentation and endpoint protection.
Of course, the potential also exists for the adversary to move away from a targeted maneuver to more broadly focused disruptions that could incorporate a much wider array of businesses and even consumers. This means that everyone should view this as a wake-up call — shore up defenses, update/patch your devices and focus on cyber hygiene. Employ authentication everywhere, beware of suspicious links, emails, etc. — phishing/credential theft continues to be popular among attackers. Every business should at least take a second look at every strange thing they see — don’t ignore anomalous activities, take the time to see if there is something nefarious at the end of the tunnel.
While prior campaigns in the region have heavily relied on wiper malware, this is no guarantee that future campaigns will continue this trend. At times like this, vigilance is key.
Read More >>
The post Continued Escalation of Tensions in the Middle East appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Thu T. Pham NIST recently released a draft publication, SP 800-207: Zero Trust Architecture (ZTA), an overview of a new approach to network security.
While ZTA is already present in many cybersecurity policies and programs that sought to restrict access to data and resources, this document is intended to both “abstractly define” ZTA and provide more guidance on deployment models, uses cases and roadmaps to implementation.
What’s the problem they’re trying to solve? Agencies and enterprise networks have given authorized users broad access to resources, since they’ve traditionally focused on perimeter defenses. But that’s led to lateral movement within the network – one of the biggest security challenges for federal agencies.
Realistically, NIST recognizes that the migration to a ZTA is more of a journey rather than a complete replacement of an enterprise’s infrastructure. Most enterprises will likely continue to operate in a hybrid model – of both zero trust + legacy mode – for awhile as they continue their IT modernization investments.
And despite the misleading name, they state that ZTA is not a single network architecture, but rather a set of guiding principles.
The overall design denotes:
A shift away from wide network perimeters to a narrower focus on protecting individual or small groups of resources
No implicit trust is granted to systems based on their physical or network location
While traditional methods block attacks coming from the internet, they may not be effective at detecting or blocking attacks originating from inside the network.
ZTA seeks to focus on the crux of the issue, which NIST defines as two main objectives:
Eliminate unauthorized access to data and services
Make the access control enforcement as granular as possible
Zero Trust Architecture Tenets
NIST lists out a few conceptual guidelines that the design and deployment of a ZTA should align with (summarized for brevity below):
All data and computing services are considered resources. For example, an enterprise might classify personally-owned devices as resources, if they’re allowed to access enterprise resources.
All communication is secure regardless of network location. This means access requests from within the network must meet the same security requirements as those from outside of it, and communication must be encrypted and authenticated.
Access to individual enterprise resources is granted on a per-connection basis. The trust of whatever is requesting access is evaluated before granted access – authentication to one resource doesn’t automatically mean they get access to another resource.
Access to resources is determined by policy, including the state of user identity and the requesting system, and may include other behavioral attributes. NIST defines ‘user identity‘ as a network account used to request access, plus any enterprise-assigned attributes to that account. A ‘requesting system‘ refers to device characteristics (software versions, network location, etc.). ‘Behavioral attributes‘ include user & device analytics, any behavior deviations from baselined patterns.
The enterprise ensures all owned and associated systems are in the most secure state possible, while monitoring systems to ensure they remain secure. Enterprises need to monitor the state of systems and apply patches or fixes as needed – any systems discovered to be vulnerable or non-enterprise owned may be denied access to enterprise resources.
User authentication is dynamic and strictly enforced before access is allowed. NIST refers to this as a ‘constant cycle of access‘ of threat assessment and continuous authentication, requiring user provisioning and authorization (the use of MFA for access to enterprise resources), as well as continuous monitoring and re-authentication throughout user interaction.
Zero Trust Architecture Threats
What follows is a summary of some of the key potential ZTA threats listed in the publication:
Insider Threat
To reduce the risk of an insider threat, a ZTA can:
Prevent a compromised account or system from accessing resources outside of how it’s intended
MFA for network access can reduce the risk of access from a compromised account
Prevent compromised accounts or systems from moving laterally through the network
Using context to detect any access activity outside of the norm and block account or system access
To prevent the threat of unauthorized access, Duo provides MFA for every application, as part of the Cisco Zero Trust framework. An additional layer of identity verification can help mitigate attacker access using stolen passwords or brute-force attacks. That paired with Duo’s device insight and policies provides a solid foundation for zero trust for the workforce.
Learn more about Duo’s new federal editions tailored to align with:
FedRAMP/FISMA security controls
NIST’s Digital Identity Guidelines (NIST SP 800-63-3)
FIPS 140-2 compliance
See more about FedRAMP authorized authentication, providing secure application access for federal agencies and other public sector customers, including role/location-based access policies, biometric authentication, and more.
Network Visibility
In a ZTA, all traffic should be inspected, logged and analyzed to identify and respond to network attacks against the enterprise. But some enterprise network traffic may be difficult to monitor, as it comes from third-party systems or applications that cannot be examined due to encrypted traffic.
In this situation, NIST recommends collecting encrypted traffic metadata and analyzing it to detect malware or attackers on the network. It also references Cisco’s research on machine learning techniques for encrypted traffic (section 5.4, page 22):
“The enterprise can collect metadata about the encrypted traffic and use that to detect possible malware communicating on the network or an active attacker. Machine learning techniques [Anderson] can be used to analyze traffic that cannot be decrypted and examined. Employing this type of machine learning would allow the enterprise to categorize traffic as valid or possibly malicious and subject to remediation.”
Cisco Encrypted Traffic Analytics (ETA) allows you to detect and mitigate network threats in encrypted traffic to gain deeper insight without decryption. It also allows you to quickly contain infected devices and uses, while securing your network. Paired with Cisco Stealthwatch, you can get real-time monitoring using machine learning and context-aware analysis.
Zero Trust Architecture: Continuous Monitoring
The publication also references having a strong Continuing Diagnostics and Mitigations (CDM) program as “key to the success of ZTA.”
This is a complete inventory of physical and virtual assets. In order to protect systems, agencies need insight into everything on their infrastructure:
What’s connected? The devices, applications and services used; as well as the security posture, vulnerabilities and threats associated.
Who’s using the network? The internal and external users, including any (non-person) entities acting autonomously, like service accounts that interact with resources.
What is happening on the network? Insight into the traffic patterns, messages and communication between systems.
How is data protected? Enterprise policies for how information is protected, both at rest and in transit.
Having visibility into the different areas of connectivity and access provides a baseline to start evaluating and responding to activity on and off the network.
Cisco Zero Trust
Asking the above discovery questions and finding a solution that can accurately and comprehensively answer them can be challenging, as it requires user, device, system and application telemetry that spans your entire IT environment – from the local corporate network to branches to the multi-cloud; encompassing all types of users from employees to vendors to contractors to remote workers, etc.
Get visibility into everything on your infrastructure, and get control over who can access what, on an ongoing basis. Cisco Zero Trust provides a comprehensive approach to securing all access across your applications and environment, from any user, device and location. It protects your workforce, workloads and workplace.
It is comprised of a portfolio of the three following primary products:
To protect the workforce, Duo Security ensures that only the right users and secure devices can access applications.
To protect workloads, Tetration secures all connections within your apps, across multi-cloud.
To protect the workplace, SD-Access secures all user and device connections across your network, including IoT.
This complete zero-trust security model allows you to mitigate, detect and respond to risks across your environment. Verifying trust before granting access across your applications, devices and networks can help protect against identity-based and other access security risks.
Cisco was recently named a leader in The Forrester Wave: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019 – read the report to learn more about our market leadership in current zero-trust offerings and strategy.
The post An Overview of Zero Trust Architecture, According to NIST appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Talos Group
This post authored by Nick Biasini
Cisco Talos has recently noticed a sudden spike in exploitation attempts against a specific vulnerability in our Cisco Adaptive Security Appliance (ASA) and Firepower Appliance. The vulnerability, CVE-2018-0296, is a denial-of-service and information disclosure directory traversal bug found in the web framework of the appliance. The attacker can use a specially crafted URL to cause the ASA appliance to reboot or disclose unauthenticated information.
This vulnerability was first noticed being exploited publicly back in June 2018, but it appeared to increase in frequency in the past several days and weeks. As such, we are advising all customers to ensure they are running a non-affected version of code. Additionally, we want to highlight that there is a Snort signature in place to detect this specific attack (46897). Concerned customers should ensure it is enabled in applicable policies that could detect this exploitation attempt.
Read More>>
The post Cisco ASA DoS Bug Attacked in Wild appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Talos Group
Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Dec 13 and Dec 20. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are automatically protected from these threats.
As a reminder, the information provided for the following threats in this post is non-exhaustive and current as of the date of publication. Additionally, please keep in mind that IOC searching is only one part of threat hunting. Spotting a single IOC does not necessarily indicate maliciousness. Detection and coverage for the following threats is subject to updates, pending additional threat or vulnerability analysis. For the most current information, please refer to your Firepower Management Center, Snort.org, or ClamAV.net.
Read More
Reference:
TRU12202019 – This is a JSON file that includes the IOCs referenced in this post, as well as all hashes associated with the cluster. The list is limited to 25 hashes in this blog post. As always, please remember that all IOCs contained in this document are indicators, and that one single IOC does not indicate maliciousness. See the Read More link above for more details.
The post Threat Roundup for December 13 to December 20 appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Cristina Errico Picture this scenario: you are a security guard at an office building. Today you are looking after a restricted area. A person you’ve never seen before walks straight past you into one of the rooms. Would you stop them or would you just assume they are allowed to be there?
In a physical world, trust is most commonly based on who you are, not where you are. A savvy security guard would ask you for your ID before allowing you in. Virtually, though, the situation is different: being in the right place is often enough. If you are inside of a company’s network perimeter, it is often assumed you have the right to be there. You gain access to the same data and tools that any other trusted user would. It’s clear that such an approach is no longer enough.
Zero trust security comes in as an alternative model, more in line with the current threat landscape. It is based on the principle of “always check, never trust“, originally introduced by Forrester. It takes into account 3 main factors:
Workforce: Employees are at risk of identity theft, which is one of the most widespread types of fraud today.
Workload: New vulnerabilities in applications and their improper management open highways for cybercriminals.
Workplace: With more and more connected devices, the workspace has extended far beyond the four walls of you company building.
Moving from a perimeter model to Zero Trust means assessing, adapting and implementing new security policies that address threats in a constantly changing environment. In this trust-centric approach access is granted to users and devices, not a network.
This means that policies now need to be calculated based on a vast number of data sources. All network activities must be continuously taken into account. Any indications of compromise or changes in the behaviour of apps, users and devices must be examined, validated and receive immediate responses.
How to apply a Zero Trust model
Cisco’s practical approach to Zero Trust includes six important steps.
Establish levels of trust for users and user devices (identity verification with multi-factor authentication and device status, which must be compliant and properly updated)
Establish levels of reliability for IoT and/or workloads (profile and baseline)
Establish SD perimeters to control access to the application (authorised access)
Establish SD perimeters to control access to the network (segmentation and micro-segmentation)
Automate the adaptive policy using normalisation (network, data centre and cloud)
Automate the adaptive policy using the response to threats (adapt the level of trust)
Zero Trust Security involves people, processes and technology in its adoption. It can provide a roadmap for a truly efficient and automated security infrastructure.
Join us at Cisco CISO Day in Barcelona
We will cover zero trust security and other strategic topics at the “Cisco CISO Day“, an exclusive event for CISOs, taking place on 27 January 2020 in Barcelona at the Cisco Co-Innovation Center.It is a great opportunity to talk with colleagues and experts and find concrete answers to any burning security questions.
The post The 3 W’s in Zero Trust Security appeared first on Cisco Blogs.
Source:: Cisco Security Notice
By Michele Festuccia Zero trust and complexity management represent a new basic combination for a closed-loop approach to anomaly detection and mitigation for critical infrastructures.
This abstract introduces a set of functional blocks that could enable automation and assurance for secure networks. These blocks are designed to reduce/simplify the impact of anomalies and/or anomalous behaviors on complex systems.
A closed-loop system uses feedback where a portion of the output signal is fed back to the system to reduce errors and improve stability. Access control and intelligent networks can generate data that could be compared with several patterns for gap analysis and feedback retroaction.
Closed-Loop System
Zero Trust is the New Secure Infrastructure Model
Zero trust is the latest and most efficient practice “to securing all access across your networks, applications, and environment. This approach helps secure access from users, end-user devices, APIs, IoT, microservices, containers, and more.
Provide more secure access, protect against gaps in visibility and reduce the attack surface.
Cisco Zero Trust allows you to [1]:
Consistently enforce policy-based controls
Gain visibility into users, devices, components, and more across your entire environment
Get detailed logs, reports, and alerts that can help you better detect and respond to threats.”
Quantitative Complexity Management: A New Approach to Anomaly Detection
Network visibility is essential [2] to zero trust. The scope of assurance systems is to qualify risk from an IT network and security perspective, based on analysis of networks and applications events.
Anomaly detection is the identification of rare items, events, patterns or observations which raise alerts by differing significantly from most of the data. The idea behind anomaly detection is to identify, or anticipate, cyberattacks and malfunctions. Machine learning could be used to detect anomalies very efficiently, as there are different algorithms that can address the topic. This is accomplished by presenting the learning algorithm with tens, hundreds or even thousands of examples of anomalies. And herein lies the problem.
In systems such as large networks or critical infrastructures, the high complexity may hide anomalies which can remain unknown or dormant for extended periods of time. Consequently, training an algorithm to recognize them is impossible. In addition, highly complex systems often comprise thousands or hundreds of thousands of data channels. In a similar context, defining and describing an anomaly may be very difficult and producing a significant set of learning vectors simply not feasible.
To better address anomaly detection, we can introduce new mathematical functions which change the approach. This method is based on the QCM (Quantitative Complexity Management), which can recognize that something unusual is going on without having seen it before.
Complexity is a new multi-dimensional descriptor of systems, networks or processes: it quantifies the amount of structured information within a system and is measured in bits. It has been observed that rapid complexity fluctuations usually correlate with or even anticipate transitions in dynamical systems, providing strong early warning signals. An example is shown below.
Complexity Index Trend Example
(Horizontal axis corresponds to time, the vertical to the complexity index)
However, the early warning feature offered by rapidly changing complexity is only the icing on the cake. In many cases, it is already immensely important to simply know that something harmful or damaging is taking place. Being able to answer the questions “are we under attack?” or “is our system becoming dangerously fragile?” is already a feat in many cases. Finally, QCM also indicates which data channels or variables are responsible for a spike in complexity, making it possible to quickly identify the source of a problem. Basically, this means that we no longer need to define anomalies in advance and then train an algorithm to recognize them. A sudden spike in complexity is an anomaly for which training isn’t necessary. QCM gets it right the first and only time a specific behaviour appears. [3]
An example of a Complexity Map, illustrated below, is relative to the software/electronics subsystem in a car. The map is synthesized in real-time using sensor data taken from the CAN bus.
Complexity Map example for Automotive
The map shows the instantaneous interdependencies between sub-systems, and also indicates which subsystems are the complexity drivers at a given time. These are pointed out by the larger boxes on the diagonal of the map. Knowing which sub-systems or components drive complexity is helpful when it comes to determining the source of problems or malfunctions.
Complexity and resilience are referenced by “ISO/TS 22375:2018 Security and resilience – Guidelines for complexity assessment process.” This document provides guidelines for the application of principles and processes for a complexity assessment of an organization’s systems to improve security and resilience. A real-time assessment can be implemented on different data streams of different sources. The index fluctuations analysis allows an organization to identify potential hidden vulnerabilities of its system and to provide an early indication of complexity-induced risk. [4]
A QCM block can actively drive the complexity of a given system to desired levels. Therefore, in the presence of complexity-increasing anomalies, the QCM controller will compensate, attempting to drive complexity to lower levels. A combination with network assurance systems and QCM is the base of closed-loop architecture.
Network Automation with Closed-Loop Architecture Plus QCM
Conclusion
Because highly complex systems are fragile and often operate close to collapse, it is most important to monitor their complexity. A crisis cannot always be predicted, but it is possible to identify pre-crisis conditions and scenarios, which is what QCM does by producing the mentioned complexity increases and spikes that alert of something anomalous.
Bibliography
[1] Zero Trust Going Beyond the Perimeter
[2] ‘Visibility on the network‘ is also a key threat listed in NIST’s 800-27 publication on Zero Trust Architecture, page 22 (U.S. guidelines on cybersecurity for federal agencies).
[3] “Complexity Management: New Perspectives and Challenges for CAE in the 21-st Century”, J. Marczyk, BenchMark Magazine, NAFEMS, July 2008.
[4] The ISO 22375 originates from the UNI 11613 published in 2015.
The post Anomaly Detection in Complex Systems: Zero Trust for the Workplace appeared first on Cisco Blogs.
Source:: Cisco Security Notice
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