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Hubuum client library (Rust): Configured custom transports may be bypassed, exposing credentials and network traffic

Moderate severity GitHub Reviewed Published Jul 23, 2026 in hubuum/hubuum-client-rust

Package

cargo hubuum_client (Rust)

Affected versions

>= 0.3.0, <= 0.6.0

Patched versions

0.6.1

Description

Summary

When an application configures hubuum_client with ClientBuilder::with_transport, several client operations still use the built-in reqwest client directly. The bypass includes password login, bearer-token validation, authentication-provider discovery, health and readiness probes, export-output downloads, and unified-search streams.

Impact

Applications may use a custom transport as a security boundary for network isolation, proxy enforcement, request signing, audit logging, or policy checks. Affected operations bypass those controls and make direct network requests to the configured base URL. Password login can therefore send plaintext credentials outside the intended transport, while token validation can send a bearer token outside it. Other bypassing calls can evade audit and routing policy.

The issue affects custom transports introduced in 0.3.0. Applications that do not configure a custom transport are not affected by the bypass.

Defense in depth

The same private fix disables redirect following for built-in async and blocking clients so an authenticated request remains at the endpoint validated and constructed by the client. Applications supplying a preconfigured reqwest client continue to control its redirect policy.

Remediation

The proposed fix routes authentication, public discovery and probe calls, export downloads, unified-search streams, raw requests, and typed requests through the configured transport in both async and blocking clients. It preserves retry and error-body policies, documents the buffering semantics of custom transports, and surfaces built-in-client redirects as 3xx API errors.

Validation

Regression tests assert async and blocking routing, paths, login bodies, bearer headers, streaming bodies, retries, error handling, and redirect behavior. Formatting, Clippy with warnings denied, rustdoc warnings, the complete workspace suite, all supported feature combinations, Rust 1.88 MSRV, OpenAPI validation, and the combined library plus downstream-consumer integration suites pass against the immutable Hubuum 0.0.3 image.

References

@terjekv terjekv published to hubuum/hubuum-client-rust Jul 23, 2026
Published to the GitHub Advisory Database Jul 24, 2026
Reviewed Jul 24, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality Low
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

EPSS score

Weaknesses

Protection Mechanism Failure

The product does not use or incorrectly uses a protection mechanism that provides sufficient defense against directed attacks against the product. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-qqc3-94qv-7fw3
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