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CVE-2025-49127: CWE-502: Deserialization of Untrusted Data in kafbat kafka-ui

High
VulnerabilityCVE-2025-49127cvecve-2025-49127cwe-502
Published: Fri Jun 06 2025 (06/06/2025, 20:23:25 UTC)
Source: CVE Database V5
Vendor/Project: kafbat
Product: kafka-ui

Description

Kafbat UI is a web user interface for managing Apache Kafka clusters. An unsafe deserialization vulnerability in version 1.0.0 allows any unauthenticated user to execute arbitrary code on the server. Version 1.1.0 fixes the issue.

AI-Powered Analysis

AILast updated: 07/08/2025, 12:24:53 UTC

Technical Analysis

CVE-2025-49127 is a critical security vulnerability identified in kafbat kafka-ui version 1.0.0, a web-based user interface designed for managing Apache Kafka clusters. The vulnerability is classified under CWE-502, which pertains to unsafe deserialization of untrusted data. Unsafe deserialization occurs when an application deserializes data from untrusted sources without sufficient validation, allowing attackers to manipulate serialized objects to execute arbitrary code. In this case, the flaw allows any unauthenticated user to remotely execute arbitrary code on the server hosting the kafka-ui application. This means an attacker does not need valid credentials or user interaction to exploit the vulnerability, significantly increasing the risk. The vulnerability has a high CVSS 4.0 score of 8.9, reflecting its ease of exploitation (network attack vector, no privileges or user interaction required) and its severe impact on confidentiality, integrity, and availability. Exploiting this vulnerability could lead to full system compromise, data theft, disruption of Kafka cluster management, and potentially lateral movement within the network. The issue is resolved in version 1.1.0 of kafka-ui, which addresses the unsafe deserialization flaw. No known exploits are currently reported in the wild, but the severity and ease of exploitation make it a high-priority patch for affected users. Given kafka-ui’s role as a management interface for Kafka clusters, exploitation could disrupt critical data streaming infrastructure and impact dependent applications and services.

Potential Impact

For European organizations, the impact of this vulnerability can be significant, especially for those relying on Apache Kafka for real-time data streaming, event processing, and critical business operations. Kafka clusters are often integral to financial services, telecommunications, manufacturing, and logistics sectors prevalent in Europe. Successful exploitation could lead to unauthorized access to sensitive data streams, manipulation or disruption of data flows, and potential downtime of critical services. This could result in financial losses, regulatory non-compliance (e.g., GDPR violations due to data breaches), reputational damage, and operational disruptions. The unauthenticated nature of the exploit increases the risk of automated attacks from external threat actors, including cybercriminals and state-sponsored groups targeting European infrastructure. Additionally, since kafka-ui is a management interface, attackers gaining control could pivot to other internal systems, escalating the scope of compromise within affected organizations.

Mitigation Recommendations

European organizations should immediately upgrade kafka-ui installations from version 1.0.0 to version 1.1.0 or later, where the unsafe deserialization vulnerability is fixed. Until the upgrade is applied, organizations should restrict network access to kafka-ui interfaces by implementing strict firewall rules and network segmentation to limit exposure to trusted administrators only. Employ Web Application Firewalls (WAFs) with custom rules to detect and block suspicious serialized payloads. Conduct thorough code reviews and security testing on any custom integrations with kafka-ui to ensure no unsafe deserialization occurs. Monitor logs and network traffic for unusual activity indicative of exploitation attempts. Additionally, implement strong authentication and authorization mechanisms around kafka-ui access to reduce risk, even though the vulnerability does not require authentication. Regularly update and patch all components of the Kafka ecosystem and maintain an incident response plan tailored to potential deserialization attacks.

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Technical Details

Data Version
5.1
Assigner Short Name
GitHub_M
Date Reserved
2025-06-02T10:39:41.632Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6843538571f4d251b5def98e

Added to database: 6/6/2025, 8:45:57 PM

Last enriched: 7/8/2025, 12:24:53 PM

Last updated: 8/15/2025, 2:21:06 PM

Views: 68

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