CVE-2025-32874

July 17, 2025, 9:15 p.m.

7.4
High

Description

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.

Product(s) Impacted

Vendor Product Versions
Kaseya
  • Rapid Fire Tools Network Detective
  • 2.0.16.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-311
Missing Encryption of Sensitive Data
The product does not encrypt sensitive or critical information before storage or transmission.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a kaseya rapid_fire_tools_network_detective 2.0.16.0 / / / / / / /

CVSS Score

7.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N

    View Vector String

Timeline

Published: July 16, 2025, 3:15 p.m.
Last Modified: July 17, 2025, 9:15 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

cve@mitre.org

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.