Ameeba Chat App store presentation
Download Ameeba Chat Today
Ameeba Blog Search

CVE-2025-52930: High Risk Memory Corruption Vulnerability in SAIL Image Decoding Library

Ameeba’s Mission: Safeguarding privacy by securing data and communication with our patented anonymization technology.

Overview

CVE-2025-52930 is a severe vulnerability that exists in the BMPv3 RLE Decoding functionality of the SAIL Image Decoding Library v0.9.8. This vulnerability could potentially lead to a system compromise or data leakage, posing a significant risk to any system or application that uses this library. The gravity of this vulnerability is heightened due to the fact that an attacker can trigger it remotely, simply by convincing the library to read a maliciously crafted .bmp file. Therefore, it is essential for all users and developers of the SAIL Image Decoding Library to understand the nature of this vulnerability and take immediate steps to mitigate its potential impact.

Vulnerability Summary

CVE ID: CVE-2025-52930
Severity: High Risk, CVSS score 8.8
Attack Vector: Remote code execution
Privileges Required: None
User Interaction: Required
Impact: Potential system compromise or data leakage

Affected Products

Ameeba Chat Icon Escape the Surveillance Era

Most apps won’t tell you the truth.
They’re part of the problem.

Phone numbers. Emails. Profiles. Logs.
It’s all fuel for surveillance.

Ameeba Chat gives you a way out.

  • • No phone number
  • • No email
  • • No personal info
  • • Anonymous aliases
  • • End-to-end encrypted

Chat without a trace.

Product | Affected Versions

SAIL Image Decoding Library | v0.9.8

How the Exploit Works

The vulnerability lies in the BMPv3 RLE Decoding functionality of the SAIL Image Decoding Library. When decompressing the image data from a specially crafted .bmp file, a heap-based buffer overflow can occur. This buffer overflow can then be exploited by an attacker to execute arbitrary code on the targeted system. The attacker needs to craft a .bmp file in such a way that it triggers the vulnerability when the library reads the file.

Conceptual Example Code

Here’s a conceptual example of how an attacker might exploit this vulnerability:

# Pseudocode
def create_malicious_bmp():
# Create a buffer overflow in the .bmp file
bmp_data = create_buffer_overflow()
# Save the malicious payload in the .bmp file
bmp_file = save_to_file(bmp_data, 'malicious.bmp')
return bmp_file
def exploit_vulnerability(target_system, bmp_file):
# Use the SAIL Image Decoding Library to read the .bmp file
target_system.read_file_with_sail(bmp_file)
# The buffer overflow triggers, executing the malicious code

This pseudocode illustrates how an attacker can create a malicious .bmp file that, when read by the SAIL Image Decoding Library, triggers a buffer overflow and executes arbitrary code.

Mitigation

The best way to mitigate this vulnerability is to apply the vendor’s patch. If a patch is not readily available, a temporary mitigation solution would be to make use of a Web Application Firewall (WAF) or an Intrusion Detection System (IDS). These systems can monitor and filter out the malicious .bmp files and prevent the SAIL Image Decoding Library from reading them, thus blocking the attack vector.

Talk freely. Stay anonymous with Ameeba 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.
Ameeba Chat