Apache InLong <=2.1.0 Deserialization of Untrusted Data (JDBC) Tainted File Read
CVE-2025-27528 Published on May 28, 2025

Apache InLong: JDBC Vulnerability for Invisible Character Bypass Leading to Arbitrary File Read
Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability allows attackers to bypass the security mechanisms of InLong JDBC and leads to arbitrary file reading. 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

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-27528 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality and integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
NONE

Weakness Type

What is a Marshaling, Unmarshaling Vulnerability?

The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

CVE-2025-27528 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.


Products Associated with CVE-2025-27528

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Apache InLong
 

Affected Versions

Apache Software Foundation Apache InLong:

Exploit Probability

EPSS
0.15%
Percentile
35.07%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.