CVE-2025-8774

Aug. 9, 2025, 9:15 p.m.

2.0
Low

Description

A vulnerability has been found in riscv-boom SonicBOOM up to 2.2.3 and classified as problematic. Affected by this vulnerability is an unknown functionality of the component L1 Data Cache Handler. The manipulation leads to observable timing discrepancy. Local access is required to approach this attack. The complexity of an attack is rather high. The exploitation appears to be difficult. The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Riscv
  • Boombang
  • <2.2.3

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-203
Observable Discrepancy
The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not.

*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 riscv boombang <2.2.3 / / / / / / /

CVSS Score

2.0 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:L/AC:H/AT:N/PR:L/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: Aug. 9, 2025, 9:15 p.m.
Last Modified: Aug. 9, 2025, 9:15 p.m.

Status : Received

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

More info

Source

cna@vuldb.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.