Apr 15, 2026·6 min read·5 visits
A low-severity defense-in-depth update for NuGet.CommandLine addresses potential denial of service via uncontrolled resource consumption and prevents sensitive credential disclosure in log files. Upgrading to the latest servicing release of the NuGet client mitigates these issues.
Microsoft issued a defense-in-depth security update for the NuGet Client and NuGet.CommandLine tools. The update addresses internal architectural weaknesses related to uncontrolled resource consumption (CWE-400) and the potential insertion of sensitive information into diagnostic log files (CWE-532). While classified as low severity without active exploitation, the update provides critical hardening for Continuous Integration (CI) and local development environments.
The NuGet package management ecosystem relies heavily on the NuGet.CommandLine utility to parse configuration files, communicate with remote feeds, and manage dependencies. GHSA-G4VJ-CJJJ-V7HG represents a proactive defense-in-depth update addressing specific weaknesses in how the client processes external inputs and logs operational telemetry.
Security intelligence indicates the update hardens the client against two distinct vulnerability classes. The first is Uncontrolled Resource Consumption (CWE-400), which occurs when the application fails to place bounds on the allocation of memory, file handles, or CPU cycles during the processing of crafted configurations or feed responses. The second is Sensitive Information Disclosure (CWE-532), where authenticated operations might inadvertently leak API keys, access tokens, or basic authentication credentials into diagnostic log files.
Microsoft classified this update as Low severity. Defense-in-depth updates typically address architectural shortcomings that require a complex, non-trivial chain of prerequisites to exploit. In this scenario, an attacker must either supply a malicious configuration file to a developer or convince a build server to interact with a compromised upstream feed while operating under specific logging verbosity levels.
The root cause of the resource consumption vector (CWE-400) stems from inadequate boundary checks when parsing complex or deeply nested XML structures in nuget.config files, or when handling exceptionally large responses from remote package registries. Without explicit limits on iteration depth or payload size, the parsing engine attempts to allocate memory proportional to the malicious input, leading to heap exhaustion or excessive CPU utilization.
The secondary issue, credential disclosure (CWE-532), originates in the application's telemetry and logging pipeline. During authenticated requests to private package feeds, the NuGet client processes authorization headers and access tokens. If the logging verbosity is set to Detailed or Diagnostic, the underlying HTTP client or operational wrappers log the raw HTTP requests and responses. Failing to sanitize these specific fields before flushing the buffer to standard output or a file results in persistent credential leakage.
To exploit the CWE-532 vector, a threat actor relies on a developer or CI/CD pipeline configuring the tool with elevated verbosity for troubleshooting. The raw secrets are subsequently written to disk or ingested by centralized log management systems, widening the exposure radius far beyond the immediate build environment.
While defense-in-depth updates do not explicitly disclose minimal code diffs, the architectural remediation for these vulnerability classes follows standardized patterns within the .NET ecosystem. To address CWE-400, structural limits are introduced to the XmlReader instances responsible for parsing configuration files. This typically involves setting XmlReaderSettings.MaxCharactersInDocument and XmlReaderSettings.MaxDepth to conservative values.
For the CWE-532 remediation, the hardening introduces a redaction layer within the telemetry pipeline. Prior to writing log entries, strings undergo pattern matching or structural inspection to identify and mask sensitive tokens.
// Representative implementation of log redaction applied in defense-in-depth scenarios
public class SecureLogger : ILogger
{
private readonly ILogger _innerLogger;
private static readonly Regex AuthHeaderRegex = new Regex("(Authorization:\\s+Bearer\\s+)[^\\r\\n]+", RegexOptions.Compiled);
public void LogDiagnostic(string message)
{
// Patched behavior: Redact sensitive tokens before passing to the underlying sink
string sanitizedMessage = AuthHeaderRegex.Replace(message, "$1[REDACTED]");
_innerLogger.LogDiagnostic(sanitizedMessage);
}
}The diagram below outlines the hardened request and logging pipeline:
The introduction of these filters ensures that even if downstream configurations request maximum verbosity, the core application logic enforces secure-by-default behavior regarding secrets management and memory allocation.
Exploitation of these weaknesses requires the attacker to influence the operational environment of the NuGet client. For the resource consumption vector, an attacker typically submits a malicious Pull Request containing a crafted nuget.config to an open-source repository. When the CI pipeline triggers the nuget restore command, the unbounded parsing logic consumes all available container memory, crashing the build runner and causing a localized Denial of Service.
Exploiting the credential leakage requires post-execution access. An attacker cannot directly trigger remote code execution; instead, they must gain access to the environment where the logs are stored. If a developer uses -Verbosity detailed during a build process authenticated to a private GitHub Packages or Azure Artifacts feed, the authentication token is written to the CI provider's log interface.
The threat actor then searches the CI logs (e.g., via a compromised developer account or misconfigured public CI logs) to extract the Bearer token. This token can subsequently be reused to authenticate against the private feed, allowing the attacker to exfiltrate proprietary source code or potentially publish poisoned package versions if the token holds write permissions.
The overall impact of GHSA-G4VJ-CJJJ-V7HG is constrained, accurately reflecting its Low severity classification. The resource exhaustion component (CWE-400) results in a transient Denial of Service. It affects availability but does not compromise confidentiality or integrity. The environment can be recovered by removing the malicious input and restarting the process.
The sensitive information disclosure component (CWE-532) poses a more significant secondary risk, though it requires existing misconfigurations (excessive logging verbosity) to manifest. Leaked credentials can lead to unauthorized access to private package repositories, threatening the confidentiality of proprietary codebases.
Due to the requirement for specific local configurations and user interactions, this vulnerability cannot be exploited remotely without prior influence over the target repository or environment. There is no known active exploitation in the wild, and it is not tracked in the CISA KEV catalog.
Administrators and developers must update their NuGet client tools to incorporate these defense-in-depth measures. Microsoft released updates across the .NET and Visual Studio ecosystems. Users relying on standalone nuget.exe downloads should upgrade to versions 6.13.0, 6.14.0, 7.3.0, or newer.
Developers utilizing Visual Studio should apply the latest available servicing updates for Visual Studio 2019 and Visual Studio 2022, as the NuGet client is bundled with the IDE. Automated CI/CD pipelines using GitHub Actions or Azure DevOps typically receive these updates automatically through the respective setup actions, provided the actions are configured to use the latest SDK versions.
As a supplementary mitigation, security teams should audit CI/CD pipeline configurations to ensure that verbose or diagnostic logging is disabled in production builds. If diagnostic logging is strictly necessary for debugging, teams must ensure that temporary credentials generated for the build process are automatically revoked immediately after the workflow completes, minimizing the window of opportunity for token harvesting.
| Product | Affected Versions | Fixed Version |
|---|---|---|
NuGet.CommandLine Microsoft | < 6.13.0 | 6.13.0 |
| Attribute | Detail |
|---|---|
| CWE ID | CWE-400, CWE-532 |
| Attack Vector | Local / Context-Dependent |
| CVSS Severity | Low |
| Exploit Status | None |
| KEV Status | Not Listed |
| Impact | Denial of Service / Info Disclosure |
The application fails to control the allocation of computing resources, and records sensitive information into an operational log file.