CVE-2026-22782

Jan. 16, 2026, 5:15 p.m.

2.9
Low

Description

RustFS is a distributed object storage system built in Rust. From >= 1.0.0-alpha.1 to 1.0.0-alpha.79, invalid RPC signatures cause the server to log the shared HMAC secret (and expected signature), which exposes the secret to log readers and enables forged RPC calls. In crates/ecstore/src/rpc/http_auth.rs, the invalid signature branch logs sensitive data. This log line includes secret and expected_signature, both derived from the shared HMAC key. Any invalidly signed request triggers this path. The function is reachable from RPC and admin request handlers. This vulnerability is fixed in 1.0.0-alpha.80.

Product(s) Impacted

Vendor Product Versions
Rustfs
  • Rustfs
  • 1.0.0-alpha.1-1.0.0-alpha.79

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-532
Insertion of Sensitive Information into Log File
Information written to log files can be of a sensitive nature and give valuable guidance to an attacker or expose sensitive user information.

*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 rustfs rustfs 1.0.0-alpha.1-1.0.0-alpha.79 / / / / / / /

CVSS Score

2.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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: Jan. 16, 2026, 5:15 p.m.
Last Modified: Jan. 16, 2026, 5:15 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.