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It is very important to understand the nature of container- specific threats before you deal with it. While containerisation is an efficient method, introduction of new layers of abstraction can serve as an entry point for attackers if not properly secured.
Some of the most commonly seen container security threats are:

  • MCSL

    Image based threats: Vulnerabilities notices in container images specifically from public repositories can introduce malwares and misconfigurations in the system.

  • MCSL

    Misconfigured orchestration platforms: Role based access controls that are improper seen in open dashboard endpoints can expose the entire cluster to external threats.

  • MCSL

    Runtime privilege escalations: Containers that are running with highly elevated privileges can be an entry point for attackers to break the isolation and access important data.

  • MCSL

    Secrets leakage: If credentials inside the container environments are improperly stored can lead to unauthorised access of service data.

  • MCSL

    Inter-container attacks: There are chances of the attackers moving laterally inside a container to escalate their access.

  • MCSL

    Supply chain compromise: In this scenario attackers inject malicious components during the building process of the container. They can slo compromise third party libraries embedded within images. Due to the heavy usage of open source components and public registries by organisations maintaining trust has become a security challenge.

  • MCSL

    Insider Threats: Incidental or accidental misuse by developers or DevOps personnel should not be underestimated. This can lead to the exposure of highly sensitive environments.

These are some of the vectors that are used by attackers to exploit and blend into normal operations. This is why the detection of malicious behaviour becomes more challenging and without contextual awareness and behavioural analytics it will be very difficult to bypass these activities.

In this method attack patterns and indicators of compromises(IOC's) are matched against the container behaviour. The advantage of this method is that it has been proven highly effective for detecting known vulnerabilities and malware but it lacks the ability to catch zero-day threats.

By creating a baseline of the normal container behaviours anomalies can be flagged in the correct time. Behavioural monitoring is a very dynamic approach but requires a lut of fine tuning so that there are minimum false positives.

If container environments have defined security policies like disallowing root access, enforcing read only file systems etc can prevent insecure behaviours from being executed. Prevention and detection of threats are critical in any system environment.

Real time container threat detection intelligence feeds from threat intelligence and internal telemetry can be combined together to enhance the ability to spot sophisticated threats.

Berkeley Packet Filter (eBPF) technology and other advanced tools are used to monitor system calls at the kernel level. This gives deep knowledge and information about how the processes work inside containers.

Our professional team at MCS helps organisations create detection models that are hybrid based on parameters like maturity, tech stack and threat profile.

Our Adaptive Defense Framework for Container Workloads

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Were access and authentication related issues.

 

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Using Container Threat Detection to safeguard contemporary workloads

Discover how Container Threat Detection safeguards applications in cloud environments by locating vulnerabilities, incorrect configurations, and runtime threats

We bring intelligence and mindset together.

Transform your cyber security strategy and make it your competitive advantage. Drive cost efficiency and seamlessly build a roadmap. Let’s do it right the first time!

FAQs

Please identify the answer you are seeking.

Container Threat Detection deals with the process of identifying and responding to security threats with containerized applications and environments.

Compared to traditional security tools, containers are considered to be ephemeral and they share host resources.

If these images are pulled from public registries without any kind of proper scanning or validation, they might contain vulnerabilities.

They cannot be considered entirely similar as Kubernetes manages containers but for securing the platforms they require separate measures.

Container threats can be monitored in real time by using tools that track system calls, network activity and behavioural anomalies during its runtime.

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