Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessEnable or confirm APM instrumentation is active
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DeliveryMake or observe authenticated HTTP requests to Kibana
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ExploitSensitive headers written to application logs by APM
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ExecutionAccess Kibana log files as operator
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PersistExtract Authorization headers or API keys from log entries
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ImpactUse captured credentials for lateral movement
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 | The optional APM (Application Performance Monitoring) instrumentation feature must be explicitly enabled in the Kibana configuration - this is not a default setting. Exploitation is further limited to individuals who already hold operator-level access to the host filesystem or log aggregation system where Kibana application logs are stored. No remote unauthenticated exploitation path exists; this is entirely a passive information disclosure to privileged insiders. Limiting factors include: APM must be opted into, log access is typically restricted to administrators, and the exposed data is only present in logs generated during periods when APM was active. |
| Impact | The NVD CVSS score of 4.4 (Medium) with vector AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N is well-calibrated for this vulnerability. AC:H correctly reflects that APM instrumentation must be enabled (a non-default, explicitly configured feature), and PR:H reflects that exploitation requires an operator already possessing log read access - a significant gating condition. Despite the C:H rating, the practical threat model is narrow: the 'attacker' is an insider or compromised operator account who could likely access sensitive data through other means anyway. There is no EPSS score available in the provided data, no CISA KEV listing, and no identified public proof-of-concept. The real-world risk is primarily an internal defense-in-depth concern - credentials or tokens that should be ephemeral become persistently logged, widening the exposure window beyond the original request lifetime. This is a priority for organizations with strict secrets-management or log-access audit requirements but is a lower operational priority for most teams compared to remotely exploitable vulnerabilities. |
| Exploit ScenarioDerived | An operator or system administrator with read access to Kibana application logs searches log files generated while APM instrumentation was active, locating entries that contain raw HTTP request headers from user or API sessions. The operator extracts Authorization header values or API keys from these log entries and uses them to authenticate as other users or services, enabling lateral movement within the Elastic Stack or connected systems. No exploit code or active network manipulation is required - the sensitive data is passively collected by the APM subsystem during normal operation. |
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Alert meAnalysisAIv1 – Jul 01, 2026
Sensitive HTTP request header values are written into Kibana application logs when the optional APM (Application Performance Monitoring) instrumentation feature is enabled, exposing credentials or tokens to anyone with operator-level log access. This affects multiple Kibana release branches (8.18.x, 8.19.x, 9.0.x, and 9.1.x) and is classified as information disclosure under CWE-532. No public exploit or active exploitation has been identified at time of analysis; the exposure is passive and gated behind both a non-default configuration and existing operator privileges.
RemediationAI
Upgrade Kibana to one of the patched versions released by Elastic: 8.18.9, 8.19.6, 9.0.8, or 9.1.6, per advisory ESA-2026-50 at https://discuss.elastic.co/t/kibana-8-18-9-8-19-6-9-0-8-9-1-6-security-update-esa-2026-50. As an interim compensating control, disabling APM instrumentation entirely eliminates the exposure - this is a viable workaround for deployments that do not depend on APM telemetry, with the trade-off of losing performance monitoring visibility. Additionally, review and rotate any Authorization headers, API keys, or session tokens that may have been captured in logs while APM was active. Restrict log access to the minimum required operators and audit existing log retention policies to reduce the window during which exposed header values remain accessible.
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
Kibana is the web-based analytics and visualization frontend for the Elastic Stack, widely deployed in enterprise logging, SIEM, and observability pipelines. CWE-532 describes the unintended insertion of sensitive data into log files - in this case, Kibana's optional APM instrumentation hooks into the HTTP request processing pipeline to gather performance telemetry. A flaw in this instrumentation causes raw request header values (which may contain Authorization headers, API keys, or session tokens) to be captured and persisted into application log output. Because APM is an opt-in feature and not enabled by default, the exposure is scoped to deployments that have explicitly activated it. The CVSS vector AV:N/AC:H/PR:H reflects that the product is network-accessible and that the data originates from network requests, while the high privilege and complexity requirements reflect the gating conditions: non-default APM configuration and existing log-read access.
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Severity by source
AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
APM is non-default (AC:H), log read access requires operator privilege (PR:H), and impact is limited to confidentiality of captured header values with no integrity or availability effect.
Primary rating from Vendor (elastic).
CVSS VectorVendor: elastic
DescriptionCVE.org
Insertion of Sensitive Information into Log File (CWE-532) in Kibana can lead to information disclosure. When the optional application performance monitoring (APM) instrumentation is enabled, sensitive request header values could be recorded in application logs, where they may be accessible to operators with log access.
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-2026-41093
GHSA-r35r-rm7g-v9m8
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB