Ameeba Security Research

Defensive CVE and exploit intelligence

Ameeba Blog Search
TRENDING · 1 WEEK
Attack Vector
Vendor
Severity

CVE-2025-27528: Deserialization of Untrusted Data Vulnerability in Apache InLong

Views: 572

Overview

Apache InLong, a widely used data integration tool, has been found to possess a significant security vulnerability identified as CVE-2025-27528. This vulnerability stems from deserialization of untrusted data in Apache InLong which can potentially lead to system compromise or data leakage. The severity of the issue is further emphasized by its high CVSS score of 9.1. The vulnerability affects versions from 1.13.0 through 2.1.0 of Apache InLong and poses a serious threat to the integrity and security of systems utilizing these versions.

Vulnerability Summary

CVE ID: CVE-2025-27528
Severity: Critical (9.1 CVSS Score)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System compromise or data leakage

Affected Products

Ameeba Chat Icon Share secrets securely

Ameeba is private infrastructure for communication and sensitive work built on encrypted identity instead of exposed corporate identity systems.

Passwords, credentials, confidential files, screenshots, internal discussions, sensitive AI context, and private coordination should not become exposed across ordinary communication platforms.

  • • Encrypted identity
  • • Private Spaces for organizations and teams
  • • End-to-end encrypted chat, calls, files, and notes
  • • Sensitive AI work and protected collaboration
  • • Built for information that cannot leak

Our mission is to secure human work alongside AI.

Product | Affected Versions

Apache InLong | 1.13.0 – 2.1.0

How the Exploit Works

The vulnerability arises from the deserialization of untrusted data in Apache InLong, specifically affecting the InLong JDBC. An attacker can exploit this by sending specially crafted data that, when deserialized, bypasses security mechanisms and enables arbitrary file reading. This could potentially allow an attacker to read sensitive data or execute malicious code leading to system compromise or data leakage.

Conceptual Example Code

Here is a conceptual example of a malicious payload that could be used to exploit this vulnerability:

POST /inlong/jdbc HTTP/1.1
Host: target.example.com
Content-Type: application/octet-stream
{ "serialized_object": "base64-encoded-serialized-object" }

In the example above, the `serialized_object` field contains a base64-encoded serialized object that, when deserialized by the vulnerable Apache InLong JDBC, could lead to arbitrary file reading or execution of malicious code.

Mitigation

Users are strongly advised to upgrade to Apache InLong’s 2.2.0 or cherry-pick the fix from https://github.com/apache/inlong/pull/11747 to solve it. As a temporary mitigation, users can also apply a vendor patch or use Web Application Firewall (WAF) or Intrusion Detection Systems (IDS). However, these are not long-term solutions and upgrading to a fixed version is strongly recommended.

Want to discuss this further? Join the Ameeba Cybersecurity Group Chat.

Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

More posts

Ameeba Chat