Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

CVE-2025-32874


An issue was discovered in Kaseya Rapid Fire Tools Network Detective through 2.0.16.0. A vulnerability exists in the EncryptionUtil class because symmetric encryption is implemented in a deterministic and non-randomized fashion. The method Encrypt(byte[] clearData) derives both the encryption key and the IV from a fixed, hardcoded input by using a static salt value. As a result, identical plaintext inputs always produce identical ciphertext outputs. This is true for both FIPS and non-FIPS generated passwords. In other words, there is a cryptographic implementation flaw in the password encryption mechanism. Although there are multiple encryption methods grouped under FIPS and non-FIPS classifications, the logic consistently results in predictable and reversible encrypted outputs due to the lack of per-operation randomness and encryption authentication.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.5, requiring local system access to exploit but requires specific conditions to be met though user interaction is required requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems.

Historical Context

Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2025-07-16T15:15:26.290

Last Modified

2026-04-15T00:35:42.020

Status

Deferred

Source

[email protected]

Severity

CVSSv3.1: 7.5 (HIGH)

Weaknesses
  • Type: Secondary
    CWE-326

Affected Vendors & Products

-


References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For affected software, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.