CVE-2025-66217

Nov. 29, 2025, 3:15 a.m.

8.8
High

Description

AIS-catcher is a multi-platform AIS receiver. Prior to version 0.64, an integer underflow vulnerability exists in the MQTT parsing logic of AIS-catcher. This vulnerability allows an attacker to trigger a massive Heap Buffer Overflow by sending a malformed MQTT packet with a manipulated Topic Length field. This leads to an immediate Denial of Service (DoS) and, when used as a library, severe Memory Corruption that can be leveraged for Remote Code Execution (RCE). This issue has been patched in version 0.64.

Product(s) Impacted

Vendor Product Versions
Ais-catcher
  • Ais-catcher
  • <0.64

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-122
Heap-based Buffer Overflow
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().

*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 ais-catcher ais-catcher <0.64 / / / / / / /

CVSS Score

8.8 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: Nov. 29, 2025, 3:15 a.m.
Last Modified: Nov. 29, 2025, 3:15 a.m.

Status : Received

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

More info

Source

security-advisories@github.com

*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.