Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessPrivileged user invokes Azure Function with sensitive payload
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DeliverySpring Cloud Function Azure adapter logs payload without sanitization
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ExploitSensitive data persisted in Azure log store
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ExecutionAttacker gains read access to log sink
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ImpactSensitive credentials or tokens extracted from logs
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A09:2025 - Security Logging & Alerting Failures
ASVS 5.0
V16 - Security Logging and Error Handling Log data sanitization
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| Exploitation Conditions | Exploitation requires that the target application is deployed on the Azure Functions runtime using the Spring Cloud Function Azure adapter - deployments targeting AWS Lambda, GCP, or standalone Spring Boot are not affected based on available data. The CVSS vector specifies PR:H (high-privilege attacker) and UI:R (user interaction required), meaning the sensitive data must be actively submitted during a function invocation by a privileged user, and a secondary party must then access the log store. Non-default verbose logging configuration may increase the volume of sensitive data captured. Exploitation is further limited by AC:H, implying specific conditions (invocation patterns, parameter types) must align. The attacker does not need to interact with the application directly - access to the downstream log aggregation system is the actual attack surface. |
| Impact | The official CVSS 3.1 score of 3.1 (Low) reflects a narrow, difficult-to-trigger exposure. The full vector AV:N/AC:H/PR:H/UI:R/S:U/C:L/I:L/A:N indicates that exploitation requires high-privilege access (presumably an operator or administrator role), high attack complexity (specific configuration or invocation conditions), and user interaction - a combination that dramatically limits real-world impact beyond the attacker already having elevated access. No EPSS score was provided in the intelligence package, and the CVE is absent from the CISA KEV, confirming no confirmed active exploitation. The I:L metric in the vendor vector is somewhat unusual for a logging disclosure and may reflect the risk that logged credentials could be reused for unauthorized actions, though this is an indirect integrity concern. Real-world priority is low: organizations where logs are centrally stored in a SIEM accessible by fewer parties than direct application access face negligible incremental risk. The absence of a CWE assignment suggests the vendor may still be refining the root cause taxonomy. |
| Exploit ScenarioDerived | An operator or administrator with high-privilege access to a Spring Cloud Function Azure deployment triggers a function invocation that passes sensitive data (such as a credential, token, or PII) as a parameter. The Azure adapter logs this payload without sanitization; an attacker who subsequently gains read access to the centralized log store (e.g., Azure Monitor, Log Analytics, or an exported SIEM) retrieves the sensitive value. No public exploit code exists at time of analysis. |
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Alert meAnalysisAIv1 – Aug 27, 2026
Spring Cloud Function's Azure integration may inadvertently log sensitive data across three affected release lines (4.2.0-4.2.7, 4.3.0-4.3.4, 5.0.0-5.0.3), resulting in low-impact information disclosure. The vulnerability is constrained by a high-privilege, high-complexity, user-interaction-required exploitation profile (CVSS 3.1), making it a low-priority issue for most organizations. No public exploit code exists and the vulnerability has not been added to the CISA KEV catalog; the primary risk is credential or token leakage through application log aggregators accessible to operators or compromised log pipelines.
RemediationAI
Consult the vendor advisory at https://spring.io/security/cve-2026-59301 for confirmed fixed versions, as the input data provides affected version ranges but does not specify exact patched release numbers - a patched version should be available given the advisory's existence. Upgrade to the next release above each affected train (i.e., 5.0.4+, 4.3.5+, or 4.2.8+ if released) as indicated by the advisory. As a compensating control prior to patching, restrict access to application log sinks and Azure Monitor/Log Analytics workspaces to the minimum set of principals, reducing the exposure window if sensitive data is present in logs. Review existing log data for inadvertently captured sensitive tokens or credentials and rotate any that may have been exposed. Avoid configuring verbose (DEBUG or TRACE) logging levels in production Azure Function deployments until the fix is applied.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
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Technical ContextAI · show details
Spring Cloud Function is a VMware/Broadcom project under the Spring ecosystem that provides a programming model for building serverless functions deployable to multiple cloud runtimes. The Azure adapter translates Spring function invocations to Azure Functions triggers. The affected component (cpe:2.3:a:spring:spring_cloud_function:*:*:*:*:*:*:*:*) covers the Azure integration layer specifically. The root cause is improper log filtering - sensitive runtime data (likely HTTP headers, function parameters, or credentials passed at invocation) is written to application logs without sanitization. Although no CWE is assigned in the NVD record, the behavior closely aligns with CWE-532 (Insertion of Sensitive Information into Log File). The Java/Microsoft tags confirm this is specific to the Azure Functions hosting surface rather than the AWS Lambda or Google Cloud adapters.
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Severity by source
AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N
Logging disclosure is a confidentiality-only impact; I:N applied because log capture does not directly modify data or system state.
Primary rating from Vendor (vmware).
CVSS VectorNVD
Lifecycle Timeline
2DescriptionNVD
Potential for logging sensitive data in Spring Cloud Function Azure. Spring Cloud Function 5.0.0 - 5.0.3 Spring Cloud Function 4.3.0 - 4.3.4 Spring Cloud Function 4.2.0 - 4.2.7
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
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EUVD-2026-67187
GHSA-mrhq-pfwx-89gm
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB