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CVE-2026-37539:

A critical buffer overflow vulnerability in cannelloni v2.0.0 allows remote attackers to cause a denial of service or execute arbitrary code via crafted CAN FD frames.


Score
Info
A numerical rating that indicates how dangerous this vulnerability is.

9.8Critical
  • Published Date:May 1, 2026
  • CISA KEV Date:*No Data*
  • Industries Affected:20

Threat Predictions

  • EPSS Score:0.3
  • EPSS Percentile:48%

Exploitability

  • Score:3.9
  • Attack Vector:NETWORK
  • Attack Complexity:LOW
  • Privileges Required:NONE
  • User Interaction:NONE
  • Scope:UNCHANGED

Impact

  • Score:5.9
  • Confidentiality Impact:HIGH
  • Integrity Impact:HIGH
  • Availability Impact:HIGH

Description Preview

A critical buffer overflow vulnerability in cannelloni v2.0.0 allows remote attackers to cause a denial of service or execute arbitrary code via crafted CAN FD frames.

Overview

CVE-2026-37539 is a critical-severity stack-based buffer overflow vulnerability discovered in cannelloni v2.0.0, an open-source tool designed to tunnel Controller Area Network (CAN) traffic over UDP. The flaw resides in the CAN frame parsing logic, specifically in the `parseCANFrame` function in `parser.cpp` and the `decodeFrame` function in `decoder.cpp`. By sending maliciously crafted CAN FD frames to a system running cannelloni, a remote unauthenticated attacker can trigger a stack buffer overflow. The consequences range from crashing the application (denial of service) to potentially achieving arbitrary remote code execution on the affected host. Given that cannelloni is frequently deployed in automotive and industrial environments where CAN bus communication is critical, exploitation of this vulnerability could have significant operational and safety implications. The CVSS v3.1 score of 9.8 reflects the ease of exploitation and the severity of potential impact.

Remediation

  • Users of cannelloni v2.0.0 should take the following steps to mitigate exposure to CVE-2026-37539. Monitor the official cannelloni GitHub repository at https://github.com/mguentner/cannelloni for patches or updated releases that address the buffer overflow in `parseCANFrame` and `decodeFrame`. Until a patched version is available, restrict network access to cannelloni instances by using firewall rules or network segmentation to ensure only trusted hosts can send CAN frames to the application. Consider deploying the application behind a network-level access control layer to reduce the attack surface. Apply runtime mitigations such as stack canaries, Address Space Layout Randomization (ASLR), and non-executable stack protections where possible to limit the exploitability of the overflow. Regularly audit and monitor logs for anomalous CAN frame traffic that may indicate exploitation attempts.

References

Industries Affected

Below is a list of industries most commonly impacted or potentially at risk based on intelligence.

Low
Mining icon
Mining
Utilities icon
Utilities
Information icon
Information
Construction icon
Construction
Retail Trade icon
Retail Trade
Manufacturing icon
Manufacturing
Wholesale Trade icon
Wholesale Trade
Educational Services icon
Educational Services
Finance and Insurance icon
Finance and Insurance
Public Administration icon
Public Administration
Real Estate Rental and Leasing icon
Real Estate Rental and Leasing
Transportation and Warehousing icon
Transportation and Warehousing
Accommodation and Food Services icon
Accommodation and Food Services
Health Care and Social Assistance icon
Health Care and Social Assistance
Arts, Entertainment, and Recreation icon
Arts, Entertainment, and Recreation
Management of Companies and Enterprises icon
Management of Companies and Enterprises
Agriculture, Forestry, Fishing and Hunting icon
Agriculture, Forestry, Fishing and Hunting
Other Services (except Public Administration) icon
Other Services (except Public Administration)
Professional, Scientific, and Technical Services icon
Professional, Scientific, and Technical Services
Administrative and Support and Waste Management and Remediation Services icon
Administrative and Support and Waste Management and Remediation Services

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