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VulnerabilityPublished

CVE-2026-26936: Elastic Kibana · ReDoS

Affects Elastic KibanaSource CVE Database V5

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Not known to be exploited · CVSS 4.9 Medium.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
4.9Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 31% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 26 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
ElasticKibanaAffected
  • >=9.0.0 <=9.2.4
  • >=8.0.0 <=8.19.10
Fixed in–

AI-suggested

To mitigate CVE-2026-26936, organizations should first verify if their Kibana installations are running affected versions (8.0.0 or 9.0.0) and plan for immediate upgrades once patches become available from Elastic. Until patches are released, restrict access to Kibana's AI Inference Anonymization Engine to only trusted, highly privileged users and monitor for unusual CPU or memory usage patterns indicative of regex blowup attacks. Implement strict input validation and sanitization on any inputs processed by the anonymization engine to reduce the risk of malicious regex patterns. Employ network segmentation and firewall rules to limit exposure of Kibana interfaces to internal networks only. Additionally, enforce strong authentication and privilege management policies to minimize the risk of compromised accounts being used to exploit this vulnerability. Consider deploying runtime application self-protection (RASP) or Web Application Firewalls (WAFs) capable of detecting and blocking anomalous regex processing patterns. Finally, maintain comprehensive logging and alerting to detect early signs of exploitation attempts.

Description

Inefficient Regular Expression Complexity (CWE-1333) in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup (CAPEC-492).

References

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