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CVE-2025-27526: CWE-502 Deserialization of Untrusted Data in Apache Software Foundation Apache InLong

Medium
VulnerabilityCVE-2025-27526cvecve-2025-27526cwe-502
Published: Wed May 28 2025 (05/28/2025, 08:07:35 UTC)
Source: CVE Database V5
Vendor/Project: Apache Software Foundation
Product: Apache InLong

Description

Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability which can lead to JDBC Vulnerability URLEncdoe and backspace bypass. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1]  https://github.com/apache/inlong/pull/11747

AI-Powered Analysis

AILast updated: 07/06/2025, 01:25:50 UTC

Technical Analysis

CVE-2025-27526 is a medium-severity vulnerability classified under CWE-502, which involves the deserialization of untrusted data in Apache InLong versions 1.13.0 through 2.1.0. Apache InLong is a data integration framework developed by the Apache Software Foundation, used for collecting, aggregating, and transferring large volumes of data. The vulnerability arises when the application processes serialized data from untrusted sources without proper validation or sanitization. This can lead to security issues such as unauthorized code execution or manipulation of application logic. Specifically, this vulnerability is linked to a JDBC vulnerability involving URL encoding and backspace character bypass techniques, which could allow an attacker to craft malicious serialized objects that bypass input validation and potentially interfere with database queries or application behavior. The vulnerability does not require authentication or user interaction and can be exploited remotely over the network, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). The impact primarily affects confidentiality and integrity, with no direct impact on availability. The Apache Software Foundation has addressed this issue in version 2.2.0 of Apache InLong, and users are advised to upgrade or apply the relevant patch from the referenced pull request. No known exploits are currently reported in the wild, but the medium severity score of 6.5 suggests that the vulnerability should be addressed promptly to prevent potential exploitation.

Potential Impact

For European organizations, the exploitation of this vulnerability could lead to unauthorized access to sensitive data or manipulation of data flows within their data integration pipelines. Given Apache InLong's role in handling large-scale data collection and transfer, attackers could leverage this vulnerability to compromise data confidentiality and integrity, potentially leading to data breaches or corruption. This is particularly critical for sectors with stringent data protection requirements such as finance, healthcare, and government agencies within Europe, where GDPR compliance mandates robust data security. Additionally, compromised data pipelines could disrupt analytics and decision-making processes, indirectly affecting business operations. While availability impact is not indicated, the loss of data integrity or confidentiality can have significant reputational and regulatory consequences for European entities.

Mitigation Recommendations

European organizations using Apache InLong should immediately upgrade to version 2.2.0 or later, where this vulnerability is fixed. If upgrading is not immediately feasible, they should apply the specific patch referenced in the Apache InLong GitHub pull request #11747 to remediate the issue. It is also recommended to audit and monitor network traffic for unusual serialized data inputs and implement strict input validation and deserialization controls. Employing application-layer firewalls or runtime application self-protection (RASP) solutions can help detect and block malicious deserialization attempts. Additionally, organizations should review their data integration workflows to ensure that only trusted sources provide serialized data and consider isolating critical data processing components to limit the blast radius of any potential exploit. Regular security assessments and code reviews focusing on deserialization logic are advised to prevent similar vulnerabilities.

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Technical Details

Data Version
5.1
Assigner Short Name
apache
Date Reserved
2025-02-27T07:09:56.375Z
Cvss Version
null
State
PUBLISHED

Threat ID: 6836c5ad182aa0cae23deab5

Added to database: 5/28/2025, 8:13:33 AM

Last enriched: 7/6/2025, 1:25:50 AM

Last updated: 8/8/2025, 2:35:05 PM

Views: 13

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