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CVE-2025-25014: Critical Vulnerability in Elastic Kibana

A critical Prototype pollution vulnerability in Elastic Kibana allows attackers to execute arbitrary code via crafted HTTP requests. Organizations must prioritize patching to mitigate risks associated with this vulnerability.

CRITICALPublic ExploitCVSS 9.1 · Published May 6, 2025

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CVE-2025-25014 is a critical vulnerability affecting Elastic's Kibana, with a CVSS score of 9.1. This vulnerability allows attackers to exploit Prototype pollution, leading to arbitrary code execution through specially crafted HTTP requests targeting machine learning and reporting endpoints. The potential for such exploitation poses significant risks, necessitating immediate action from affected organizations.

The vulnerability is classified as critical due to its high CVSS score, which indicates a severe impact on confidentiality, integrity, and availability. Given that it allows remote code execution, the urgency for organizations to patch Kibana installations is paramount, especially as this can lead to unauthorized access and data manipulation.

Currently, exploitability is marked as critical, and there are known exploits available. Organizations should take immediate steps to secure their environments and prevent potential attacks. The risk to organizations includes unauthorized code execution, which can compromise system integrity.

Organizations should prioritize patching immediately, given the high likelihood of exploitation and the severe impact associated with this vulnerability.

Vulnerability Details

The official description states that a Prototype pollution vulnerability in Kibana leads to arbitrary code execution via crafted HTTP requests to machine learning and reporting endpoints. This vulnerability has been assigned a CVSS score of 9.1, indicating a critical severity level. The affected product is Kibana, developed by Elastic.

The vulnerability was published on May 6, 2025, and is categorized under CWE-1321. Organizations using affected versions must be vigilant in applying recommended patches.

Technical Analysis

The root cause of this vulnerability lies in improper handling of crafted HTTP requests, which can manipulate object prototypes, leading to arbitrary code execution. The attack vector is categorized as NETWORK, with a low attack complexity. Attackers require high privileges to exploit this vulnerability, but no user interaction is necessary.

The impacts on confidentiality, integrity, and availability are all high, given that successful exploitation can lead to complete control over the compromised system.

Risk & Impact Analysis

The real-world deployment risk associated with CVE-2025-25014 is substantial. Organizations relying on Kibana for analytics and reporting are particularly vulnerable, as successful exploitation can lead to unauthorized access and manipulation of sensitive data. The blast radius of this vulnerability is significant, as it can affect not only the Kibana instance but also all interconnected systems and databases.

Urgency assessment indicates that organizations should address this vulnerability in their priority patch cycle. Failure to do so could result in severe consequences, including data breaches and loss of customer trust.

Exploitation Status

Signal

Status

Known Exploit

Yes

Public PoC

Yes

Actively Exploited

No

Ransomware Use

No

Affected Versions

Affected versions include Kibana 8.3.0 to 8.17.6, as well as specific versions 8.18.0 and 9.0.0. Organizations running these versions must update to the latest patches to mitigate the risk.

Mitigation & Remediation

Organizations should apply the latest security updates from Elastic, specifically targeting Kibana versions affected by CVE-2025-25014. If immediate patching is not feasible, consider implementing additional network controls and monitoring to detect any suspicious activity related to this vulnerability.

For further security assessments, organizations may consider engaging in penetration testing to validate defenses against such vulnerabilities.

Detection Guidance

Monitoring logs for unusual request patterns targeting machine learning and reporting endpoints is crucial. Organizations should look for behavioral anomalies that indicate exploitation attempts, such as unexpected endpoint access or unauthorized command execution.

Network signatures associated with known exploit attempts should also be established to enhance detection capabilities.

AppSecure Threat Intelligence Insight

The long-term significance of CVE-2025-25014 highlights the ongoing need for vigilance in securing web applications against modern attack vectors. As organizations increasingly rely on machine learning and reporting functionalities, the exposure to such vulnerabilities will only grow.

Security teams should take this incident as a lesson to assess their security posture rigorously and ensure robust defenses are in place to mitigate similar risks in future deployments.

For additional insights on securing web applications, organizations may benefit from reviewing the web application penetration testing guide, which provides strategies for identifying and mitigating vulnerabilities effectively.

Moreover, continuous security assessments can be instrumental in maintaining a strong security posture. For ongoing protection, consider implementing continuous penetration testing practices to routinely evaluate and enhance security measures.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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