Nomad Security Misconfiguration Scanner
This scanner detects the Nomad Security Misconfiguration in digital assets. It identifies exposed Nomad jobs running on your infrastructure, indicating potential misconfigurations. This helps ensure proper deployment practices and secure access controls within your organization.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
8 days 1 hour
Scan only one
URL
Toolbox
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Nomad is a flexible workload orchestrator used by organizations for deploying applications across dynamic and distributed infrastructure. It is typically employed by DevOps teams to manage containerized and legacy applications at massive scales. Companies ranging from tech startups to large enterprises use it to rapidly deploy and act on changes in their software environments. Its configuration-driven model helps teams reduce errors and gives them the flexibility to automate complex deployment processes effectively. Nomad integrates well with existing DevOps toolchains, enhancing operational efficiency in both cloud-based and on-premise settings.
The vulnerability detected by this scanner is related to security misconfiguration in Nomad. Often caused by misconfigured controls or settings, such misconfigurations can leave organizations vulnerable to unauthorized access. In particular, exposed jobs within the Nomad infrastructure can give an unauthenticated user visibility into potentially sensitive jobs and data. This exposure increases the risk of data breaches or unauthorized alterations to the deployed applications.
The technical details of this vulnerability include accessing Nomad's UI, specifically through the "/ui/jobs" endpoint. If not properly secured, this can allow for listing out Nomad jobs running within the infrastructure which should have otherwise been restricted. The scanner checks for an HTTP 200 response status, confirming access to the jobs UI along with the presence of relevant keywords in the response.
If exploited, the exposed jobs can result in serious security and privacy concerns. Malicious entities could gain insight into the deployment processes and attempt to manipulate running jobs. Additionally, sensitive information about the application workload might be leaked, which could be used in targeted exploitation campaigns. Without proper safeguarding, attackers may also establish a greater foothold in the network, increasing the scope of potential attacks.
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