Ameeba Chat App store presentation
Join the Cybersecurity Chat on Ameeba
Connect with pros, students, and researchers — in real time

Ameeba Blog Search

CVE-2025-55069: Predictable Seed Vulnerability in Click Plus PLC Firmware

Ameeba’s Mission: Our mission is to safeguard freedom from surveillance through anonymization.

Overview

CVE-2025-55069 is a high-severity vulnerability that has been discovered in the firmware of the Click Plus PLC, specifically version 3.60. This vulnerability stems from the implementation of a predictable seed in the software’s pseudo-random number generator. In essence, this vulnerability represents a serious risk to the security of private keys generated by the software. It is significant because it opens the door for potential system compromise or data leakage, which are severe threats to any organization. Anyone using the affected firmware version should take immediate action to mitigate this vulnerability.

Vulnerability Summary

CVE ID: CVE-2025-55069
Severity: High (CVSS: 8.3)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Potential system compromise and 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

Click Plus PLC | Firmware 3.60

How the Exploit Works

The vulnerability relies on the fact that the software implements a predictable seed for its pseudo-random number generator. In the context of cryptography, this is a severe flaw. Pseudo-random number generators are often used for generating encryption keys, where the security of the generated key heavily depends on the randomness of the generated numbers. If an attacker can predict these numbers, they can reverse-engineer the private key, leading to system compromise or data leakage.

Conceptual Example Code

For illustrative purposes, we can imagine a simplified pseudo-code example of how the pseudo-random number generator works and how it might be exploited:

# Vulnerable pseudo-random number generator
def vulnerable_prng(seed):
return (seed * 0x5DEECE66D + 0xB) & ((1 << 48) - 1)
# Predictable seed
seed = 12345
# Attacker predicts the seed
predicted_seed = seed
# Attacker generates the same pseudo-random numbers
for i in range(10):
print(vulnerable_prng(predicted_seed))
predicted_seed += 1

In this conceptual example, an attacker who knows or guesses the seed can generate the same sequence of pseudo-random numbers as the software, potentially allowing them to compromise private keys or other sensitive data.
Mitigation for this vulnerability involves applying a vendor patch or using a WAF (Web Application Firewall) or IDS (Intrusion Detection System) as temporary mitigation. However, it’s vital to follow through with vendor patches to ensure long-term security.

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.
Ameeba Chat