Authorization Bypass Through User-Controlled Key in Kibana Leading to Information Disclosure
Written by anthropic/claude-haiku-5.5 from the sources below. Verify against them.
- Exploited
- No known exploitation
- Fix
- No fix listed
- Who is exposed
- Not reported
- Exploitation0/40No signal
- Exposure3/25Reachable over the network · Data gap: No advisory context yet
- Reach?/20Reach: unknown (data gap). No tracked technology or package matched
- Severity4.3/10CVSS 4.3
- No patch5/5No patch listed yet
What would change the score
- Would score about 67 if added to CISA KEV
- Would score about 62 if CISA's SSVC rates exploitation active
- Would score about 31 if advisories confirm default setups are exposed
CVE-2026-115292 is not in CISA's Known Exploited Vulnerabilities (KEV) catalog. No public exploit code is tracked. It is rated CVSS 4.3 (medium) and affects Kibana; no fixed version is listed yet.
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- Published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- A 0-100 score for how much a CVE matters across the industry: exploitation, exposure, how widely the software is used, severity and whether a fix exists.What do these mean? →
- 12/100 · provisional
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
- Exploitation: none
- Automatable: no
- Technical impact: partial
Summary
An authenticated Kibana user with Machine Learning read access in one space can view audit and error messages for data frame analytics jobs in other spaces they are not authorized to access. This exposes sensitive job details, such as destination index names, analyzed field names, and failure information.
Read the original description
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana Machine Learning can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user with Machine Learning read access in one Kibana space can read the audit and error messages of data frame analytics jobs that belong to other spaces that the user is not authorized to access. These messages can include job details such as destination index names, analyzed field names, and failure information.
Timeline
- CVE published
- First seen by cve.now
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- Elastic Kibana
From 8.0.0 · through 8.19.23; From 9.0.0 · through 9.4.8; From 9.5.0 · through 9.5.5
Evidence 1
- Link
Corrections
None so far.
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Questions about CVE-2026-115292
Is CVE-2026-115292 being exploited?
It is not in CISA's Known Exploited Vulnerabilities catalog, and CISA's SSVC assessment does not mark exploitation as active. That does not mean it has not been attacked: vendors and researchers can report attacks before CISA lists them. No public exploit code is tracked.Source: cve.now feed data
Which versions are affected by CVE-2026-115292?
Kibana: from 8.0.0 through 8.19.23; from 9.0.0 through 9.4.8; from 9.5.0 through 9.5.5.Source: cve.now feed data