Vulnerability Database

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Total vulnerabilities in the database

Hubuum client library (Rust): Sensitive data may be exposed through default diagnostics — hubuum_client

Insertion of Sensitive Information into Log File

Summary

hubuum_client diagnostics can expose sensitive request, response, import/export, task, delivery, or server-provided data when applications format or log errors and public models.

Affected behavior

Native reqwest::Error values retain the full request URL. Converting those errors into ApiError::Http, or exhausting retries and storing the error text in ApiError::RetryExhausted, preserves query parameter values. Detailed HTTP and decoding errors can retain server-provided messages, response bodies, or payload details, including through error source chains.

Several public response and model types also derived or implemented diagnostics over untrusted or secret-adjacent fields. These include raw response bodies and cursors; rendered and JSON export payloads; import schemas and object data; task summaries, links, output URLs, events, and import-result details; event-delivery claims and errors; event sink configuration; subscription routing; and remote-call failure details. High-level backup and export runners additionally copied unsuccessful server task summaries into ApiError::Api.

Applications commonly log errors and response values, so credentials, tokens, cursors, filters, echoed request content, imported object data, schema defaults, task or delivery details, and other sensitive payloads can be written to logs even though normal request logging redacts query values.

Remediation

The proposed fix redacts query values from embedded request URLs before storing native HTTP errors and applies the same sanitization to exhausted retries. Default error and model diagnostics now report safe metadata rather than server messages, payloads, cursors, links, configuration, or secret-adjacent details. JSON codec errors no longer appear in the standard source chain, and unsuccessful high-level backup/export operations use the structured TaskUnsuccessful variant without copying task summaries.

Explicit response, error, task, import, export, event, and delivery APIs continue to expose original values for applications that deliberately inspect them.

Validation

Regression coverage exercises direct HTTP conversion, async and blocking retry exhaustion, response and decoding diagnostics, import/export/raw-response containers, unsuccessful async and blocking task runners, task/event/import-result models, and secret-bearing event and remote models. The workspace format, lint, documentation, test, feature-matrix, Rust 1.88 MSRV, OpenAPI validation, release-metadata, and combined library plus consumer integration suites pass against the immutable Hubuum 0.0.3 image.

  • Published: Jul 24, 2026
  • Updated: Jul 25, 2026
  • GHSA: GHSA-2625-rw7m-5q5x
  • Severity: Low
  • Exploit:
  • CISA KEV:

No technical information available.

CWEs:

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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