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Following security best practices when developing and configuring microservices do not result in non-vulnerable microservices. The post shows that although all deployed microservices are vulnerable, there is much to be done to ensure microservices are not exploited. It explains how analyzing the behavior of clients and services from a security standpoint, named here **"Security-Behavior Analysis"**, can protect the deployed vulnerable microservices. It points to [Guard](http://knative.dev/security-guard), an open source project offering security-behavior monitoring and control of Kubernetes microservices presumed vulnerable._ + +As cyber attacks continue to intensify in sophistication, organizations deploying cloud services, continue to grow their cyber investments aiming to produce safe and non-vulnerable services. However, the year-by-year growth in cyber investments, does not result in a parallel reduction in cyber incidents. Instead, the number of cyber incidents continues to grow annually. Evidently organizations are doomed to fail at this struggle - no matter how much effort is made to detect and remove cyber weaknesses from deployed services, it seems offenders always have the upper hand. + +Considering the current spread of offensive tools, sophistication of offensive players, and ever-growing cyber financial gains to offenders, any cyber strategy that relies on constructing a non-vulnerable, weakness-free service in 2023 is clearly too naïve. It seems the only viable strategy is to: + +➥ **Admit that your services are vulnerable!** + +In other words, consciously accept that you will never create non-vulnerable services. If your opponents find a single weakness as an entry-point, you lose. Admitting that in spite of your best efforts, all your services are most likely vulnerable is an important first step. Next, we need to discuss what can you do about it... + +## How to Protect Microservices From Being Exploited + +Being vulnerable does not necessarily mean that your service will be exploited. Though your services are vulnerable in some ways unknown to you, offenders still need to identify these vulnerabilities and then exploit them. If offenders fail to exploit your service vulnerabilities, you win! In other words, having a vulnerability that can’t be exploited, represents a risk that can’t be realized. + +{{< figure src="Example.png" alt="Image of an example of offender gaining foothold in a service" class="diagram-large" caption="Figure 1. An Offender gaining foothold in a vulnerable service" >}} + +The above diagram shows an example in which the offender does not yet have a foothold in the service, that is, it is assumed that your service does not run code controlled by the offender on day 1. In our example the service has vulnerabilities in the API exposed to clients. To gain an initial foothold the offender uses a malicious client to try and exploit one of the service API vulnerabilities. The malicious client sends an exploit that triggers some unplanned behavior of the service. + +More specifically, let’s assume the service is vulnerable to an SQL injection. The developer failed to sanitize the user input properly, thereby allowing clients to send values that would change the intended behavior. In our example, if a client sends a query string with key “username” and value of _“tom or 1=1”_, the client will receive the data of all users. Exploiting this vulnerability requires the client to send an irregular string as the value. Note that benign users will not be sending a string with spaces or with the equal sign character as a username, instead they will normally send legal usernames which for example may be defined as a short sequence of characters a-z. No legal username can trigger service unplanned behavior. + +In this simple example we can already identify several opportunities to detect and block an attempt to exploit the vulnerability (un)intentionally left behind by the developer, making the vulnerability unexploitable. First, the malicious client behavior differs from the behavior of benign clients, as it sends irregular requests. If such change in behavior is detected and blocked, the exploit will never reach the service. Second, the service behavior in response to the exploit, differs from the service behavior in response to a regular request. Such behavior may include making subsequent irregular calls to other services such as a data store, taking irregular time to respond, and/or responding to the malicious client with an irregular response (for example, containing much more data than normally sent in case of benign clients making regular requests). Service behavioral changes, if detected, will also allow blocking the exploit in different stages of the exploitation attempt. + +More generally: + +- Monitoring the behavior of clients can help detect and block exploits against service API vulnerabilities. In fact, deploying an efficient client behavior monitoring makes many vulnerabilities unexploitable and others very hard to achieve. To succeed, the offender needs to create an exploit undetectable from regular requests. + +- Monitoring the behavior of services can help detect services as they are being exploited regardless of the attack vector used. Efficient service behavior monitoring limits what an attacker may be able to achieve as the offender needs to ensure the service behavior is undetectable from regular service behavior. + +Combining both approaches may add a protection layer to the deployed vulnerable services, drastically decreasing the probability for anyone to successfully exploit any of the deployed vulnerable services. Next, let us identify four use cases where you need to use security-behavior monitoring. + +## Use Cases + +One can identify the following four different stages in the life of any service from a security standpoint. In each stage, security-behavior monitoring is required to meet different challenges: + +Service State | Use case | What do you need in order to cope with this use case? +------------- | ------------- | ----------------------------------------- +**Normal** | **No known vulnerabilities:** The service owner is normally not aware of any known vulnerabilities in the service image or configuration. Yet, it is reasonable to assume that the service has weaknesses. | **Provide generic protection against any unknown, zero-day, service vulnerabilities** - Detect/block irregular patterns sent as part of incoming client requests that may be used as exploits. +**Vulnerable** | **An applicable CVE is published:** The service owner is required to release a new non-vulnerable revision of the service. Research shows that in practice this process of removing a known vulnerability may take many weeks to accomplish (2 months on average). | **Add protection based on the CVE analysis** - Detect/block incoming requests that include specific patterns that may be used to exploit the discovered vulnerability. Continue to offer services, although the service has a known vulnerability. +**Exploitable** | **A known exploit is published:** The service owner needs a way to filter incoming requests that contain the known exploit. | **Add protection based on a known exploit signature** - Detect/block incoming client requests that carry signatures identifying the exploit. Continue to offer services, although the presence of an exploit. +**Misused** | **An offender misuses service pods:** The offender can follow an attack pattern enabling him/her to misuse pods. The service owner needs to restart any compromised pods while using non compromised pods to continue offering the service. Note that once a pod is restarted, the offender needs to repeat the attack pattern before he/she may again misuse it. | **Identify and restart service instances that are being misused** - At any given time, some service pods may be compromised and misused while others behave as designed. Detect/remove the misused pods while allowing other pods to continue offering the service. + +Next, let's discuss why microservice architecture is well suited to security-behavior monitoring. + +## Security-Behavior of Microservices vs Monoliths + +Kubernetes is often used to support workloads designed with microservice architecture. By design, microservices aim to follow the UNIX philosophy of "Do One Thing And Do It Well". Each microservice has a bounded context and a clear interface. In other words, we can expect the microservice clients to send relatively regular requests and the microservice to present a relatively regular behavior as a response to these requests. Consequently, microservice architecture is an excellent candidate for security-behavior monitoring. + +{{< figure src="Microservices.png" alt="Image showing why microservices are well suited for security-behavior monitoring" class="diagram-large" caption="Figure 2. Microservices are well suited for security-behavior monitoring" >}} + +The diagram above clarifies how dividing a monolithic service to a set of microservices improves our ability to perform security-behavior monitoring and control. In a monolithic service approach, different client requests are intertwined, resulting in diminished ability to identify irregular client behaviors. Without prior knowledge, an observer of the intertwined client requests will find it hard to distinguish between types of requests and their related characteristics. Further, internal client requests are not exposed to the observer. Lastly, the aggregated behavior of the monolithic service is a compound of the many different internal behaviors of its components, making it hard to identify irregular service behavior. + +In a microservice environment, each microservice is expected by design to offer a more well-defined service and serve better defined type of requests. This makes it easier for an observer to identify irregular client behavior and irregular service behavior. Further, a microservice design exposes the internal requests and internal services which offer more security-behavior data to identify irregularities by an observer. Overall, this makes the microservice design pattern better suited for security-behavior monitoring and control. + +## Security-Behavior Under Kubernetes + +Kubernetes deployments seeking to add Security-Behavior may use [Guard](http://knative.dev/security-guard), developed under the CNCF project Knative. Guard is integrated into the full Knative automation suite that runs on top of Kubernetes. Alternatively, **Guard can be installed as a standalone tool to protect any HTTP-based Kubernetes service**. + +See: + +- [Guard on Github](https://github.com/knative-sandbox/security-guard) for using Guard as a standalone. +- The Knative automation suite - Read about Knative, in the blog post [Opinionated Kubernetes](https://davidhadas.wordpress.com/2022/08/29/knative-an-opinionated-kubernetes) which describes how Knative simplifies and unifies the way web services are deployed on Kubernetes. +- You may contact Guard maintainers on the `knative-security` channel of the [CNCF slack](https://communityinviter.com/apps/cloud-native/cncf) + +The goal of this post is to invite the Kubernetes community to action and introduce Security-Behavior monitoring and control to help secure Kubernetes based deployments. Hopefully, the community as a follow up will: + +1. Analyze the cyber challenges presented for different Kubernetes use cases +1. Add appropriate security documentation for users on how to introduce Security-Behavior monitoring and control. +1. Consider how to integrate with tools that can help users monitor and control their vulnerable services. + +## Getting Involved + +You are welcome to get involved and join the effort to develop security behavior monitoring +and control for Kubernetes; to share feedback and contribute to code or documentation; +and to make or suggest improvements of any kind. From e03eeca7b23b5f6e6ebc80b63acc524c9ded18e4 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 13:37:47 +0200 Subject: [PATCH 02/23] changed title --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index f860034b6160f..e85f541652311 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -1,6 +1,6 @@ --- layout: blog -title: "All Your Microservices Are Vulnerable" +title: “Consider All Microservices Vulnerable — And Monitor Their Behavior” date: 2023-01-15 slug: security-behavior-analysis --- From 66ed89785d2ea2ff91048a13e7830e148f5678b2 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 13:59:07 +0200 Subject: [PATCH 03/23] udpated slack channels --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index e85f541652311..c48303819de9d 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -69,7 +69,7 @@ See: - [Guard on Github](https://github.com/knative-sandbox/security-guard) for using Guard as a standalone. - The Knative automation suite - Read about Knative, in the blog post [Opinionated Kubernetes](https://davidhadas.wordpress.com/2022/08/29/knative-an-opinionated-kubernetes) which describes how Knative simplifies and unifies the way web services are deployed on Kubernetes. -- You may contact Guard maintainers on the `knative-security` channel of the [CNCF slack](https://communityinviter.com/apps/cloud-native/cncf) +- You may contact Guard maintainers on the [Sig-Security](https://kubernetes.slack.com/archives/C019LFTGNQ3) slack channel or on the Knative community [security](https://knative.slack.com/archives/CBYV1E0TG) slack channel. Note that the Knative community channel will move soon to the [CNCF slack](https://communityinviter.com/apps/cloud-native/cncf) under the name `knative-security`. The goal of this post is to invite the Kubernetes community to action and introduce Security-Behavior monitoring and control to help secure Kubernetes based deployments. Hopefully, the community as a follow up will: From 06c1b3d62ee97d35b242d0824225ab4f4eddd5b3 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 14:11:12 +0200 Subject: [PATCH 04/23] fix title --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index c48303819de9d..4807f69c727aa 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -1,6 +1,6 @@ --- layout: blog -title: “Consider All Microservices Vulnerable — And Monitor Their Behavior” +title: Consider All Microservices Vulnerable — And Monitor Their Behavior date: 2023-01-15 slug: security-behavior-analysis --- From d19b6df9608b5b35e0cce20e104651c99feda0e3 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 17:35:54 +0200 Subject: [PATCH 05/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 4807f69c727aa..78bd8f3a87173 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -18,7 +18,7 @@ Considering the current spread of offensive tools, sophistication of offensive p In other words, consciously accept that you will never create non-vulnerable services. If your opponents find a single weakness as an entry-point, you lose. Admitting that in spite of your best efforts, all your services are most likely vulnerable is an important first step. Next, we need to discuss what can you do about it... -## How to Protect Microservices From Being Exploited +## How to protect microservices from being exploited Being vulnerable does not necessarily mean that your service will be exploited. Though your services are vulnerable in some ways unknown to you, offenders still need to identify these vulnerabilities and then exploit them. If offenders fail to exploit your service vulnerabilities, you win! In other words, having a vulnerability that can’t be exploited, represents a risk that can’t be realized. From e20fda4d4a277b9b9259c8cdc2d87d3fcaa7fc36 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 17:36:02 +0200 Subject: [PATCH 06/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 78bd8f3a87173..932d0e28090c7 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -38,7 +38,7 @@ More generally: Combining both approaches may add a protection layer to the deployed vulnerable services, drastically decreasing the probability for anyone to successfully exploit any of the deployed vulnerable services. Next, let us identify four use cases where you need to use security-behavior monitoring. -## Use Cases +## Use cases One can identify the following four different stages in the life of any service from a security standpoint. In each stage, security-behavior monitoring is required to meet different challenges: From 355ad3e95499625fb4fe4518bf534aa998fd6e5d Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 17:36:41 +0200 Subject: [PATCH 07/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 932d0e28090c7..ca54b40e1eeb0 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -51,7 +51,7 @@ Service State | Use case | What do you need in order to cope with this use case? Next, let's discuss why microservice architecture is well suited to security-behavior monitoring. -## Security-Behavior of Microservices vs Monoliths +## Security-Behavior of microservices versus monoliths {#microservices-vs-monoliths} Kubernetes is often used to support workloads designed with microservice architecture. By design, microservices aim to follow the UNIX philosophy of "Do One Thing And Do It Well". Each microservice has a bounded context and a clear interface. In other words, we can expect the microservice clients to send relatively regular requests and the microservice to present a relatively regular behavior as a response to these requests. Consequently, microservice architecture is an excellent candidate for security-behavior monitoring. From 0d989858bdc3dc0ba25539e77709a50c77bbc59c Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 17:36:56 +0200 Subject: [PATCH 08/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index ca54b40e1eeb0..48d21c610fd62 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -77,7 +77,7 @@ The goal of this post is to invite the Kubernetes community to action and introd 1. Add appropriate security documentation for users on how to introduce Security-Behavior monitoring and control. 1. Consider how to integrate with tools that can help users monitor and control their vulnerable services. -## Getting Involved +## Getting involved You are welcome to get involved and join the effort to develop security behavior monitoring and control for Kubernetes; to share feedback and contribute to code or documentation; From f1088c26ee174c8b21c4189c9ad524cc92dfd959 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 18:05:53 +0200 Subject: [PATCH 09/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 48d21c610fd62..c54da19ae5e85 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -69,7 +69,7 @@ See: - [Guard on Github](https://github.com/knative-sandbox/security-guard) for using Guard as a standalone. - The Knative automation suite - Read about Knative, in the blog post [Opinionated Kubernetes](https://davidhadas.wordpress.com/2022/08/29/knative-an-opinionated-kubernetes) which describes how Knative simplifies and unifies the way web services are deployed on Kubernetes. -- You may contact Guard maintainers on the [Sig-Security](https://kubernetes.slack.com/archives/C019LFTGNQ3) slack channel or on the Knative community [security](https://knative.slack.com/archives/CBYV1E0TG) slack channel. Note that the Knative community channel will move soon to the [CNCF slack](https://communityinviter.com/apps/cloud-native/cncf) under the name `knative-security`. +- You may contact Guard maintainers on the [SIG Security](https://kubernetes.slack.com/archives/C019LFTGNQ3) Slack channel or on the Knative community [security](https://knative.slack.com/archives/CBYV1E0TG) Slack channel. The Knative community channel will move soon to the [CNCF Slack](https://communityinviter.com/apps/cloud-native/cncf) under the name `#knative-security`. The goal of this post is to invite the Kubernetes community to action and introduce Security-Behavior monitoring and control to help secure Kubernetes based deployments. Hopefully, the community as a follow up will: From 30b9d6fea8eb797b0c90d9e68400cc0b9f609d27 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 18:09:25 +0200 Subject: [PATCH 10/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index c54da19ae5e85..df607e15a18fb 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -47,7 +47,7 @@ Service State | Use case | What do you need in order to cope with this use case? **Normal** | **No known vulnerabilities:** The service owner is normally not aware of any known vulnerabilities in the service image or configuration. Yet, it is reasonable to assume that the service has weaknesses. | **Provide generic protection against any unknown, zero-day, service vulnerabilities** - Detect/block irregular patterns sent as part of incoming client requests that may be used as exploits. **Vulnerable** | **An applicable CVE is published:** The service owner is required to release a new non-vulnerable revision of the service. Research shows that in practice this process of removing a known vulnerability may take many weeks to accomplish (2 months on average). | **Add protection based on the CVE analysis** - Detect/block incoming requests that include specific patterns that may be used to exploit the discovered vulnerability. Continue to offer services, although the service has a known vulnerability. **Exploitable** | **A known exploit is published:** The service owner needs a way to filter incoming requests that contain the known exploit. | **Add protection based on a known exploit signature** - Detect/block incoming client requests that carry signatures identifying the exploit. Continue to offer services, although the presence of an exploit. -**Misused** | **An offender misuses service pods:** The offender can follow an attack pattern enabling him/her to misuse pods. The service owner needs to restart any compromised pods while using non compromised pods to continue offering the service. Note that once a pod is restarted, the offender needs to repeat the attack pattern before he/she may again misuse it. | **Identify and restart service instances that are being misused** - At any given time, some service pods may be compromised and misused while others behave as designed. Detect/remove the misused pods while allowing other pods to continue offering the service. +**Misused** | **An offender misuses pods backing the service:** The offender can follow an attack pattern enabling him/her to misuse pods. The service owner needs to restart any compromised pods while using non compromised pods to continue offering the service. Note that once a pod is restarted, the offender needs to repeat the attack pattern before he/she may again misuse it. | **Identify and restart instances of the component that is being misused** - At any given time, some backing pods may be compromised and misused, while others behave as designed. Detect/remove the misused pods while allowing other pods to continue servicing client requests. Next, let's discuss why microservice architecture is well suited to security-behavior monitoring. From 8a1c9ae7f26158b4de93663dd8732ddc8193ae1d Mon Sep 17 00:00:00 2001 From: David Hadas Date: Fri, 13 Jan 2023 18:36:53 +0200 Subject: [PATCH 11/23] fix in view of review comments --- .../_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index df607e15a18fb..84257f7d80800 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -16,7 +16,7 @@ Considering the current spread of offensive tools, sophistication of offensive p ➥ **Admit that your services are vulnerable!** -In other words, consciously accept that you will never create non-vulnerable services. If your opponents find a single weakness as an entry-point, you lose. Admitting that in spite of your best efforts, all your services are most likely vulnerable is an important first step. Next, we need to discuss what can you do about it... +In other words, consciously accept that you will never create completely invulnerable services. If your opponents find even a single weakness as an entry-point, you may lose. Admitting that in spite of your best efforts, all your services are most likely vulnerable is an important first step. Next, this post discusses what you can do about it... ## How to protect microservices from being exploited @@ -28,7 +28,7 @@ The above diagram shows an example in which the offender does not yet have a foo More specifically, let’s assume the service is vulnerable to an SQL injection. The developer failed to sanitize the user input properly, thereby allowing clients to send values that would change the intended behavior. In our example, if a client sends a query string with key “username” and value of _“tom or 1=1”_, the client will receive the data of all users. Exploiting this vulnerability requires the client to send an irregular string as the value. Note that benign users will not be sending a string with spaces or with the equal sign character as a username, instead they will normally send legal usernames which for example may be defined as a short sequence of characters a-z. No legal username can trigger service unplanned behavior. -In this simple example we can already identify several opportunities to detect and block an attempt to exploit the vulnerability (un)intentionally left behind by the developer, making the vulnerability unexploitable. First, the malicious client behavior differs from the behavior of benign clients, as it sends irregular requests. If such change in behavior is detected and blocked, the exploit will never reach the service. Second, the service behavior in response to the exploit, differs from the service behavior in response to a regular request. Such behavior may include making subsequent irregular calls to other services such as a data store, taking irregular time to respond, and/or responding to the malicious client with an irregular response (for example, containing much more data than normally sent in case of benign clients making regular requests). Service behavioral changes, if detected, will also allow blocking the exploit in different stages of the exploitation attempt. +In this simple example one can already identify several opportunities to detect and block an attempt to exploit the vulnerability (un)intentionally left behind by the developer, making the vulnerability unexploitable. First, the malicious client behavior differs from the behavior of benign clients, as it sends irregular requests. If such change in behavior is detected and blocked, the exploit will never reach the service. Second, the service behavior in response to the exploit, differs from the service behavior in response to a regular request. Such behavior may include making subsequent irregular calls to other services such as a data store, taking irregular time to respond, and/or responding to the malicious client with an irregular response (for example, containing much more data than normally sent in case of benign clients making regular requests). Service behavioral changes, if detected, will also allow blocking the exploit in different stages of the exploitation attempt. More generally: @@ -49,7 +49,7 @@ Service State | Use case | What do you need in order to cope with this use case? **Exploitable** | **A known exploit is published:** The service owner needs a way to filter incoming requests that contain the known exploit. | **Add protection based on a known exploit signature** - Detect/block incoming client requests that carry signatures identifying the exploit. Continue to offer services, although the presence of an exploit. **Misused** | **An offender misuses pods backing the service:** The offender can follow an attack pattern enabling him/her to misuse pods. The service owner needs to restart any compromised pods while using non compromised pods to continue offering the service. Note that once a pod is restarted, the offender needs to repeat the attack pattern before he/she may again misuse it. | **Identify and restart instances of the component that is being misused** - At any given time, some backing pods may be compromised and misused, while others behave as designed. Detect/remove the misused pods while allowing other pods to continue servicing client requests. -Next, let's discuss why microservice architecture is well suited to security-behavior monitoring. +Fortunately, microservice architecture is well suited to security-behavior monitoring as discussed next. ## Security-Behavior of microservices versus monoliths {#microservices-vs-monoliths} From 41af06d1d2b62d695622fe84bed45c150f7e803c Mon Sep 17 00:00:00 2001 From: David Hadas Date: Tue, 17 Jan 2023 13:05:05 +0200 Subject: [PATCH 12/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 84257f7d80800..322a323695460 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -53,7 +53,7 @@ Fortunately, microservice architecture is well suited to security-behavior monit ## Security-Behavior of microservices versus monoliths {#microservices-vs-monoliths} -Kubernetes is often used to support workloads designed with microservice architecture. By design, microservices aim to follow the UNIX philosophy of "Do One Thing And Do It Well". Each microservice has a bounded context and a clear interface. In other words, we can expect the microservice clients to send relatively regular requests and the microservice to present a relatively regular behavior as a response to these requests. Consequently, microservice architecture is an excellent candidate for security-behavior monitoring. +Kubernetes is often used to support workloads designed with microservice architecture. By design, microservices aim to follow the UNIX philosophy of "Do One Thing And Do It Well". Each microservice has a bounded context and a clear interface. In other words, you can expect the microservice clients to send relatively regular requests and the microservice to present a relatively regular behavior as a response to these requests. Consequently, a microservice architecture is an excellent candidate for security-behavior monitoring. {{< figure src="Microservices.png" alt="Image showing why microservices are well suited for security-behavior monitoring" class="diagram-large" caption="Figure 2. Microservices are well suited for security-behavior monitoring" >}} From 38226e9851f2ec058fcef87e73ca5076bb03b2c5 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Tue, 17 Jan 2023 13:05:38 +0200 Subject: [PATCH 13/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 322a323695460..b96fc3c49a8ae 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -61,7 +61,7 @@ The diagram above clarifies how dividing a monolithic service to a set of micros In a microservice environment, each microservice is expected by design to offer a more well-defined service and serve better defined type of requests. This makes it easier for an observer to identify irregular client behavior and irregular service behavior. Further, a microservice design exposes the internal requests and internal services which offer more security-behavior data to identify irregularities by an observer. Overall, this makes the microservice design pattern better suited for security-behavior monitoring and control. -## Security-Behavior Under Kubernetes +## Security-Behavior monitoring on Kubernetes Kubernetes deployments seeking to add Security-Behavior may use [Guard](http://knative.dev/security-guard), developed under the CNCF project Knative. Guard is integrated into the full Knative automation suite that runs on top of Kubernetes. Alternatively, **Guard can be installed as a standalone tool to protect any HTTP-based Kubernetes service**. From 12c594e5cfc5fc9572fb23e06a93b6001f130452 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Tue, 17 Jan 2023 13:06:37 +0200 Subject: [PATCH 14/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index b96fc3c49a8ae..3dc3d5e7cc25e 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -63,7 +63,7 @@ In a microservice environment, each microservice is expected by design to offer ## Security-Behavior monitoring on Kubernetes -Kubernetes deployments seeking to add Security-Behavior may use [Guard](http://knative.dev/security-guard), developed under the CNCF project Knative. Guard is integrated into the full Knative automation suite that runs on top of Kubernetes. Alternatively, **Guard can be installed as a standalone tool to protect any HTTP-based Kubernetes service**. +Kubernetes deployments seeking to add Security-Behavior may use [Guard](http://knative.dev/security-guard), developed under the CNCF project Knative. Guard is integrated into the full Knative automation suite that runs on top of Kubernetes. Alternatively, **you can deploy Guard as a standalone tool** to protect any HTTP-based workload on Kubernetes. See: From 7851c6c0eaae8361cc10a0cddcd4c58e699b6c70 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Tue, 17 Jan 2023 13:07:06 +0200 Subject: [PATCH 15/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Tim Bannister --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 3dc3d5e7cc25e..cb4a538ff7559 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -67,7 +67,7 @@ Kubernetes deployments seeking to add Security-Behavior may use [Guard](http://k See: -- [Guard on Github](https://github.com/knative-sandbox/security-guard) for using Guard as a standalone. +- [Guard](https://github.com/knative-sandbox/security-guard) on Github, for using Guard as a standalone tool. - The Knative automation suite - Read about Knative, in the blog post [Opinionated Kubernetes](https://davidhadas.wordpress.com/2022/08/29/knative-an-opinionated-kubernetes) which describes how Knative simplifies and unifies the way web services are deployed on Kubernetes. - You may contact Guard maintainers on the [SIG Security](https://kubernetes.slack.com/archives/C019LFTGNQ3) Slack channel or on the Knative community [security](https://knative.slack.com/archives/CBYV1E0TG) Slack channel. The Knative community channel will move soon to the [CNCF Slack](https://communityinviter.com/apps/cloud-native/cncf) under the name `#knative-security`. From 6ffae8b75975d207a5ec980a475912129a0f42b6 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:02:53 +0200 Subject: [PATCH 16/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index cb4a538ff7559..43fcba6c0a170 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -8,7 +8,7 @@ slug: security-behavior-analysis **Author:** David Hadas (IBM Research Labs) -_This post warns Devops from a false sense of security. Following security best practices when developing and configuring microservices do not result in non-vulnerable microservices. The post shows that although all deployed microservices are vulnerable, there is much to be done to ensure microservices are not exploited. It explains how analyzing the behavior of clients and services from a security standpoint, named here **"Security-Behavior Analysis"**, can protect the deployed vulnerable microservices. It points to [Guard](http://knative.dev/security-guard), an open source project offering security-behavior monitoring and control of Kubernetes microservices presumed vulnerable._ +_This post warns Devops from a false sense of security. Following security best practices when developing and configuring microservices do not result in non-vulnerable microservices. The post shows that although all deployed microservices are vulnerable, there is much that can be done to ensure microservices are not exploited. It explains how analyzing the behavior of clients and services from a security standpoint, named here **"Security-Behavior Analysis"**, can protect the deployed vulnerable microservices. It points to [Guard](http://knative.dev/security-guard), an open source project offering security-behavior monitoring and control of Kubernetes microservices presumed vulnerable._ As cyber attacks continue to intensify in sophistication, organizations deploying cloud services, continue to grow their cyber investments aiming to produce safe and non-vulnerable services. However, the year-by-year growth in cyber investments, does not result in a parallel reduction in cyber incidents. Instead, the number of cyber incidents continues to grow annually. Evidently organizations are doomed to fail at this struggle - no matter how much effort is made to detect and remove cyber weaknesses from deployed services, it seems offenders always have the upper hand. From cd0ac52effa86b9c99c042b70e917f2a1a71ee9d Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:03:04 +0200 Subject: [PATCH 17/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 43fcba6c0a170..86fa54f09a022 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -57,7 +57,7 @@ Kubernetes is often used to support workloads designed with microservice archite {{< figure src="Microservices.png" alt="Image showing why microservices are well suited for security-behavior monitoring" class="diagram-large" caption="Figure 2. Microservices are well suited for security-behavior monitoring" >}} -The diagram above clarifies how dividing a monolithic service to a set of microservices improves our ability to perform security-behavior monitoring and control. In a monolithic service approach, different client requests are intertwined, resulting in diminished ability to identify irregular client behaviors. Without prior knowledge, an observer of the intertwined client requests will find it hard to distinguish between types of requests and their related characteristics. Further, internal client requests are not exposed to the observer. Lastly, the aggregated behavior of the monolithic service is a compound of the many different internal behaviors of its components, making it hard to identify irregular service behavior. +The diagram above clarifies how dividing a monolithic service to a set of microservices improves our ability to perform security-behavior monitoring and control. In a monolithic service approach, different client requests are intertwined, resulting in a diminished ability to identify irregular client behaviors. Without prior knowledge, an observer of the intertwined client requests will find it hard to distinguish between types of requests and their related characteristics. Further, internal client requests are not exposed to the observer. Lastly, the aggregated behavior of the monolithic service is a compound of the many different internal behaviors of its components, making it hard to identify irregular service behavior. In a microservice environment, each microservice is expected by design to offer a more well-defined service and serve better defined type of requests. This makes it easier for an observer to identify irregular client behavior and irregular service behavior. Further, a microservice design exposes the internal requests and internal services which offer more security-behavior data to identify irregularities by an observer. Overall, this makes the microservice design pattern better suited for security-behavior monitoring and control. From 37c3a0f52ed7f9f53fe23d6aef0de9a4e9cc3b20 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:03:18 +0200 Subject: [PATCH 18/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 86fa54f09a022..0cc1f852f8d6a 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -32,7 +32,7 @@ In this simple example one can already identify several opportunities to detect More generally: -- Monitoring the behavior of clients can help detect and block exploits against service API vulnerabilities. In fact, deploying an efficient client behavior monitoring makes many vulnerabilities unexploitable and others very hard to achieve. To succeed, the offender needs to create an exploit undetectable from regular requests. +- Monitoring the behavior of clients can help detect and block exploits against service API vulnerabilities. In fact, deploying efficient client behavior monitoring makes many vulnerabilities unexploitable and others very hard to achieve. To succeed, the offender needs to create an exploit undetectable from regular requests. - Monitoring the behavior of services can help detect services as they are being exploited regardless of the attack vector used. Efficient service behavior monitoring limits what an attacker may be able to achieve as the offender needs to ensure the service behavior is undetectable from regular service behavior. From 225a156dccebc321b7139d20489e334bdb8bbd49 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:03:35 +0200 Subject: [PATCH 19/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 0cc1f852f8d6a..4e517075329f6 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -28,7 +28,7 @@ The above diagram shows an example in which the offender does not yet have a foo More specifically, let’s assume the service is vulnerable to an SQL injection. The developer failed to sanitize the user input properly, thereby allowing clients to send values that would change the intended behavior. In our example, if a client sends a query string with key “username” and value of _“tom or 1=1”_, the client will receive the data of all users. Exploiting this vulnerability requires the client to send an irregular string as the value. Note that benign users will not be sending a string with spaces or with the equal sign character as a username, instead they will normally send legal usernames which for example may be defined as a short sequence of characters a-z. No legal username can trigger service unplanned behavior. -In this simple example one can already identify several opportunities to detect and block an attempt to exploit the vulnerability (un)intentionally left behind by the developer, making the vulnerability unexploitable. First, the malicious client behavior differs from the behavior of benign clients, as it sends irregular requests. If such change in behavior is detected and blocked, the exploit will never reach the service. Second, the service behavior in response to the exploit, differs from the service behavior in response to a regular request. Such behavior may include making subsequent irregular calls to other services such as a data store, taking irregular time to respond, and/or responding to the malicious client with an irregular response (for example, containing much more data than normally sent in case of benign clients making regular requests). Service behavioral changes, if detected, will also allow blocking the exploit in different stages of the exploitation attempt. +In this simple example, one can already identify several opportunities to detect and block an attempt to exploit the vulnerability (un)intentionally left behind by the developer, making the vulnerability unexploitable. First, the malicious client behavior differs from the behavior of benign clients, as it sends irregular requests. If such a change in behavior is detected and blocked, the exploit will never reach the service. Second, the service behavior in response to the exploit differs from the service behavior in response to a regular request. Such behavior may include making subsequent irregular calls to other services such as a data store, taking irregular time to respond, and/or responding to the malicious client with an irregular response (for example, containing much more data than normally sent in case of benign clients making regular requests). Service behavioral changes, if detected, will also allow blocking the exploit in different stages of the exploitation attempt. More generally: From 5848eb03beb6ba3f14ff3eec748017e12d864dd0 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:03:49 +0200 Subject: [PATCH 20/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 4e517075329f6..48eda3b1089ac 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -24,7 +24,7 @@ Being vulnerable does not necessarily mean that your service will be exploited. {{< figure src="Example.png" alt="Image of an example of offender gaining foothold in a service" class="diagram-large" caption="Figure 1. An Offender gaining foothold in a vulnerable service" >}} -The above diagram shows an example in which the offender does not yet have a foothold in the service, that is, it is assumed that your service does not run code controlled by the offender on day 1. In our example the service has vulnerabilities in the API exposed to clients. To gain an initial foothold the offender uses a malicious client to try and exploit one of the service API vulnerabilities. The malicious client sends an exploit that triggers some unplanned behavior of the service. +The above diagram shows an example in which the offender does not yet have a foothold in the service; that is, it is assumed that your service does not run code controlled by the offender on day 1. In our example the service has vulnerabilities in the API exposed to clients. To gain an initial foothold the offender uses a malicious client to try and exploit one of the service API vulnerabilities. The malicious client sends an exploit that triggers some unplanned behavior of the service. More specifically, let’s assume the service is vulnerable to an SQL injection. The developer failed to sanitize the user input properly, thereby allowing clients to send values that would change the intended behavior. In our example, if a client sends a query string with key “username” and value of _“tom or 1=1”_, the client will receive the data of all users. Exploiting this vulnerability requires the client to send an irregular string as the value. Note that benign users will not be sending a string with spaces or with the equal sign character as a username, instead they will normally send legal usernames which for example may be defined as a short sequence of characters a-z. No legal username can trigger service unplanned behavior. From 0a9cc0480f841aec9b6a2705eab04c46ec79fbe4 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:04:07 +0200 Subject: [PATCH 21/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 48eda3b1089ac..9ea345ba26d2a 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -16,7 +16,7 @@ Considering the current spread of offensive tools, sophistication of offensive p ➥ **Admit that your services are vulnerable!** -In other words, consciously accept that you will never create completely invulnerable services. If your opponents find even a single weakness as an entry-point, you may lose. Admitting that in spite of your best efforts, all your services are most likely vulnerable is an important first step. Next, this post discusses what you can do about it... +In other words, consciously accept that you will never create completely invulnerable services. If your opponents find even a single weakness as an entry-point, you lose! Admitting that in spite of your best efforts, all your services are still vulnerable is an important first step. Next, this post discusses what you can do about it... ## How to protect microservices from being exploited From e67c1e1521c78616673a8af7961bbe8552d1ce4f Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 07:04:19 +0200 Subject: [PATCH 22/23] Update content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md Co-authored-by: Nate W. --- .../blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md index 9ea345ba26d2a..5879d63ae5870 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md @@ -10,7 +10,7 @@ David Hadas (IBM Research Labs) _This post warns Devops from a false sense of security. Following security best practices when developing and configuring microservices do not result in non-vulnerable microservices. The post shows that although all deployed microservices are vulnerable, there is much that can be done to ensure microservices are not exploited. It explains how analyzing the behavior of clients and services from a security standpoint, named here **"Security-Behavior Analysis"**, can protect the deployed vulnerable microservices. It points to [Guard](http://knative.dev/security-guard), an open source project offering security-behavior monitoring and control of Kubernetes microservices presumed vulnerable._ -As cyber attacks continue to intensify in sophistication, organizations deploying cloud services, continue to grow their cyber investments aiming to produce safe and non-vulnerable services. However, the year-by-year growth in cyber investments, does not result in a parallel reduction in cyber incidents. Instead, the number of cyber incidents continues to grow annually. Evidently organizations are doomed to fail at this struggle - no matter how much effort is made to detect and remove cyber weaknesses from deployed services, it seems offenders always have the upper hand. +As cyber attacks continue to intensify in sophistication, organizations deploying cloud services continue to grow their cyber investments aiming to produce safe and non-vulnerable services. However, the year-by-year growth in cyber investments does not result in a parallel reduction in cyber incidents. Instead, the number of cyber incidents continues to grow annually. Evidently, organizations are doomed to fail in this struggle - no matter how much effort is made to detect and remove cyber weaknesses from deployed services, it seems offenders always have the upper hand. Considering the current spread of offensive tools, sophistication of offensive players, and ever-growing cyber financial gains to offenders, any cyber strategy that relies on constructing a non-vulnerable, weakness-free service in 2023 is clearly too naïve. It seems the only viable strategy is to: From 42fb3aa536ddfa798c9a5b295c90a062449459e4 Mon Sep 17 00:00:00 2001 From: David Hadas Date: Wed, 18 Jan 2023 15:25:01 +0200 Subject: [PATCH 23/23] pushed to Jan 20 --- .../Example.png | Bin .../Microservices.png | Bin .../index.md | 2 +- 3 files changed, 1 insertion(+), 1 deletion(-) rename content/en/blog/_posts/{2023-01-15-Security-Bahavior-Analysis => 2023-01-20-Security-Bahavior-Analysis}/Example.png (100%) rename content/en/blog/_posts/{2023-01-15-Security-Bahavior-Analysis => 2023-01-20-Security-Bahavior-Analysis}/Microservices.png (100%) rename content/en/blog/_posts/{2023-01-15-Security-Bahavior-Analysis => 2023-01-20-Security-Bahavior-Analysis}/index.md (99%) diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/Example.png b/content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/Example.png similarity index 100% rename from content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/Example.png rename to content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/Example.png diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/Microservices.png b/content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/Microservices.png similarity index 100% rename from content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/Microservices.png rename to content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/Microservices.png diff --git a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md b/content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/index.md similarity index 99% rename from content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md rename to content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/index.md index 5879d63ae5870..8ecad96975dd3 100644 --- a/content/en/blog/_posts/2023-01-15-Security-Bahavior-Analysis/index.md +++ b/content/en/blog/_posts/2023-01-20-Security-Bahavior-Analysis/index.md @@ -1,7 +1,7 @@ --- layout: blog title: Consider All Microservices Vulnerable — And Monitor Their Behavior -date: 2023-01-15 +date: 2023-01-20 slug: security-behavior-analysis ---