CVE-2026-34061

April 3, 2026, 11:17 p.m.

4.9
Medium

Description

nimiq/core-rs-albatross is a Rust implementation of the Nimiq Proof-of-Stake protocol based on the Albatross consensus algorithm. Prior to version 1.3.0, an elected validator proposer can send an election macro block whose header.interlink does not match the canonical next interlink. Honest validators accept that proposal in verify_macro_block_proposal() because the proposal path validates header shape, successor relation, proposer, body root, and state, but never checks the interlink binding for election blocks. The same finalized block is later rejected by verify_block() during push with InvalidInterlink. Because validators prevote and precommit the malformed header hash itself, the failure happens after Tendermint decides the block, not before voting. This issue has been patched in version 1.3.0.

Product(s) Impacted

Vendor Product Versions
Nimiq
  • Core-rs-albatross
  • <1.3.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-345
Insufficient Verification of Data Authenticity
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.

*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 nimiq core-rs-albatross <1.3.0 / / / / / / /

CVSS Score

4.9 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: April 3, 2026, 11:17 p.m.
Last Modified: April 3, 2026, 11:17 p.m.

Status : Received

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

More info

*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.