Did you know that Dependabot can be used not only to upgrade dependencies for security vulnerabilities, but also to keep your dependencies up-to-date more generally (one of the easiest ways to keep your project secure)
Agentless vulnerability assessment scanning for images in ECR repositories helps reduce the attack surface of your containerized estate by continuously scanning images to identify and manage container vulnerabilities. With this new release, Defender for Cloud scans container images after they're pushed to the repository and continually reassess the ECR container images in the registry. The findings are available in Microsoft Defender for Cloud as recommendations, and you can use Defender for Cloud's built-in automated workflows to take action on the findings, such as opening a ticket for fixing a high severity vulnerability in an image.
Red Hat Product Security rates the severity of security issues found in Red Hat products using a four-point scale (Low, Moderate, Important, and Critical). The Red Hat severity rating is intended to provide a prioritized risk assessment specific to how Red Hat builds, ships, and configures that code, and assists in scheduling your upgrades. This rating is not derived as a direct correlation with CVSS. This means that our ratings will sometimes differ from NVD based on how our software is built and deployed.
Red Hat publishes several forms of advisories. Red Hat Security Advisories (RHSA) are published whenever an update to a product contains a security fix. Any RHSA can include fixes for multiple CVEs and, as such, always inherits the highest Red Hat Severity Rating of the CVEs being corrected. Many vulnerability scanners utilize RHSA data to determine whether vulnerabilities have been addressed; however, this determination can be imperfect. In some cases layered offerings or services can consume platform security fixes in a traditional bug advisory (RHBA).
All data (affected state, affected offerings, scores, and ratings) related to vulnerabilities impacting the Red Hat portfolio are publicly available after public disclosure of the vulnerability. We publish our data in the following industry-standard human and machine-readable formats:
Each of these disclosure formats has pros and cons, the latter of which can create the potential for false positives if they are not properly accounted for and utilized collectively. OVAL, for instance, only addresses vulnerabilities for components packaged as RPMs.
The cve-analyser tool evaluates Red Hat container image details (container metadata). It uses the container image details to detect and extract all necessary security information for the reported vulnerabilities. The cve-analyser tool evaluates vulnerability data related to the container RPM packages and non-RPM content if the necessary information is available in the Red Hat security data. It can also do a simple correlation between a package/artifact name and the name reported by the scanner CVE instead of a deep container image correlation validation (fuzzy searching).
By centralizing your test and vulnerability data in one place, ThreadFix enables your security team to spend less time manually correlating results and more time addressing security risks and vulnerabilities. And because you can quickly identify risk areas that are most important to your organization, you can reduce the time vulnerabilities live in your applications by up to 40%.
Coalfire can help cloud service providers prioritize the cyber risks to the company, and find the right cyber risk management and compliance efforts that keeps customer data secure, and helps differentiate products.
Orca offers industry-leading agentless vulnerability management across your entire cloud infrastructure and cloud native applications. With comprehensive coverage, security teams can partner across the organization to prioritize the most critical risks and respond to new vulnerabilities in a timely and effective manner. Understand operating system, package, and other vulnerability issues across Linux and Windows VMs, container images, and serverless functions.
Vulnerabilities are software bugs or weaknesses that could be used by an attacker. They could be present in the operating system, application code, and third-party code dependencies, such as libraries, frameworks, programming scripts, and so on. By taking a secure DevOps approach and identifying vulnerabilities early in development, you avoid frustrating developers with delays when an application is ready for production. So, preventing vulnerable workloads from entering production is paramount, but keep in mind that new vulnerabilities and exploits can be discovered for software already in production. Scanning for vulnerabilities must be done throughout the entire workload life cycle, including at runtime.
Discover how to identify vulnerabilities in container images and hosts, integrate vulnerability assessment and controls in your software development life cycle, and unify container and host vulnerability management.
According to the Sysdig 2022 Cloud-Native Security and Usage Report, 75 percent of images running in production contain patchable vulnerabilities of high or greater severity. The risk of exposing your organization through vulnerabilities present in containers is very real.
Take a look into remediation cases that could be automated or facilitated, such as vulnerabilities with a fix requiring a low-risk version update of a package. And for those vulnerabilities without a fix or with a fix that would require more complex remediations, consider compensating controls with a risk assessment.
Kubernetes admission controllers are the last line of defense before exposing the organization to container vulnerabilities in Kubernetes clusters. The admission controller evaluates requests to the Kubernetes application programming interface (API) server, then determines whether to allow the request. As an example, a request for a pod deployment could be denied if the admission controller receives a failed status on a check.
Hosts are the computing instances where your containers run. In Kubernetes environments, hosts are the nodes of a cluster where Pods are deployed, and an estimated quarter of organizations in the cloud have unpatched hosts with high severity and critical vulnerabilities. Although not as numerous as containers, vulnerable computing instances in public clouds expose the organization to serious risks.
Securing host virtual machines (VMs) is just as important as securing the containers running on them. Make sure that you have a tool in place that can scan hosts. For example, cloud VMs (computing instances such as EC2s) are hosts that need scanning. Host scans must also be done regularly, so your teams are given actionable information to prioritize and expedite remediation.
Siloed solutions create security gaps and inefficiencies. Adopting a unified approach to vulnerability management for containers and hosts speeds the time to detect and remediate vulnerabilities, while generating fewer alerts. Organizations are often faced with thousands of vulnerabilities detected in their environments while their teams can only timely handle a small fraction of them. Prioritization and efficient remediation become fundamental to vulnerability management.
As you answer these questions, it will become clear which vulnerabilities in your environment context are truly exploitable and incur high risk to the organization. Those areas are the ones where you need to focus your remediation efforts.
Managing vulnerabilities requires understanding how to effectively reduce risk in your environment. Make sure that your vulnerability scanning solution provides detection of vulnerabilities on containers and hosts. Check the quality of the threat data and context provided with the vulnerability alert for prioritization and remediation, tracking improvements in reducing exposure risk.
Unified host and container scans can be used beyond vulnerabilities checks. The scans can also validate regulatory compliance (for example, PCI DSS, NIST regulations, SOC 2) and security best practices, such as the Center for Internet Security (CIS) Benchmarks. Scanners should detect security risks, such as port misconfigurations, unprotected secrets, open-source software (OSS) licenses, and file integrity, among security controls.
Amazon Inspector is an automated vulnerability management service that continually scans Amazon Elastic Compute Cloud (EC2), AWS Lambda functions, and container workloads for software vulnerabilities and unintended network exposure.
An Amazon Inspector finding is a potential security vulnerability. For example, when Amazon Inspector detects software vulnerabilities or open network paths to your compute resources, it creates security findings.
To successfully scan Amazon EC2 instances for software vulnerabilities, Amazon Inspector requires that these instances are managed by AWS Systems Manager and the SSM agent. See Systems Manager prerequisites in the AWS Systems Manager User Guide for instructions to activate and