Cyber Resilience

CVE-2025-8774

Boom-Core Risvc-Boom ≤ 2.2.3

Published
09 August 2025
Modified
17 June 2026
CVSS Score v4 1.1
Click a component to see what it means
Raw vectorCVSS: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
EPSS Score 0.0016 6th percentile
Risk Priority 14 floored blend · peak EPSS

Summary

CVE-2025-8774 is a low-severity Observable Discrepancy (CWE-203) vulnerability in Boom-Core Risvc-Boom. Its CVSS base score is 1.1 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique Password Guessing (T1110.001); ranked at the 6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to IA-6 (Authentication Feedback) and SA-11 (Developer Testing and Evaluation) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

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…

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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.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1110.001 Password Guessing Credential Access
Adversaries with no prior knowledge of legitimate credentials within the system or environment may guess passwords to attempt access to accounts.
T1087 Account Discovery Discovery
Adversaries may attempt to get a listing of valid accounts, usernames, or email addresses on a system or within a compromised environment.
T1087.001 Local Account Discovery
Adversaries may attempt to get a listing of local system accounts.
T1087.002 Domain Account Discovery
Adversaries may attempt to get a listing of domain accounts.
T1087.003 Email Account Discovery
Adversaries may attempt to get a listing of email addresses and accounts.
T1087.004 Cloud Account Discovery
Adversaries may attempt to get a listing of cloud accounts.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-40021Shared CWE-203, CWE-208
CVE-2023-25806Shared CWE-203, CWE-208
CVE-2023-1538Shared CWE-203, CWE-208
CVE-2026-45410Shared CWE-203, CWE-208
CVE-2024-56738Shared CWE-203, CWE-208
CVE-2026-23849Shared CWE-203, CWE-208
CVE-2023-32694Shared CWE-203, CWE-208
CVE-2024-21671Shared CWE-203, CWE-208
CVE-2025-30344Shared CWE-203, CWE-208
CVE-2024-1543Shared CWE-203, CWE-208

Affected Assets

boom-core
risvc-boom
≤ 2.2.3

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 1 hardening rule · 1 OS baseline
Validate
Prove the fix (OWASP ASVS)
  • V11.2.4

Mitigating Controls (NIST 800-53 r5) AI

Obscures authentication feedback so that success/failure differences are not observable to attackers.

Developer testing can include timing analysis or side-channel test cases that reveal observable timing discrepancies.

Requires error messages to avoid revealing exploitable details, directly stopping observable response discrepancies.

Engineering principles can mandate constant-time algorithms and side-channel resistance so timing discrepancies are never introduced.

Requiring approved cryptographic modules and algorithms implicitly demands implementations free of observable timing leaks.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly prevent observable response discrepancies via consistent error handling and timing.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

none

Accurate, synchronized timestamps reduce observable timing discrepancies that an attacker could exploit to infer sensitive information or distinguish between success and failure paths.

References