Cyber Resilience

CVE-2025-3322

RCE

Published
06 June 2025
Modified
17 June 2026
CVSS Score v4 10.0
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/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 0.0056 44th percentile
Risk Priority 51 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2025-3322 is a critical-severity Expression Language Injection (CWE-917) vulnerability in Bbraun (inferred from references). Its CVSS base score is 10.0 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 44th 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 SI-10 (Information Input Validation) and SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

The vulnerability CVE-2025-3322 stems from improper neutralization of inputs used in an expression language, tracked as CWE-917. This flaw resides in a server-side component and permits remote code execution with the highest privileges. It received a maximum CVSS 4.0 score of 10.0 reflecting network attack vector, low complexity, and no prerequisites for authentication or user interaction, resulting in total loss of confidentiality, integrity, and availability on the affected system and its security scope.

An unauthenticated remote attacker can supply crafted inputs that are evaluated by the expression language engine, achieving arbitrary code execution at root or equivalent level. Successful exploitation grants full control over the server, enabling data exfiltration, system modification, or denial of service without any local access or user assistance.

The vendor advisory published at https://www.bbraun.com/productsecurity outlines mitigation guidance for the affected products.

EPSS for this CVE has remained flat at 0.0221 with no material rise from its initial value.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

An improper neutralization of inputs used in expression language allows remote code execution with the highest privileges on the server.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-40985Shared CWE-917
CVE-2024-5828Shared CWE-917
CVE-2010-1871Shared CWE-917
CVE-2026-2587Shared CWE-917
CVE-2023-41331Shared CWE-917
CVE-2026-41729Shared CWE-917
CVE-2026-41717Shared CWE-917
CVE-2023-22665Shared CWE-917
CVE-2026-41719Shared CWE-917
CVE-2023-27821Shared CWE-917

Affected Assets

Bbraun
—
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V1.1.2
  • V1.3.2
  • V1.3.5
  • V4.3.1

Mitigating Controls (NIST 800-53 r5) AI

Input validation directly requires checking and neutralizing special elements in externally influenced data before it is used to build executable statements such as EL expressions.

Security engineering principles include requirements for safe construction and sanitization of dynamic statements, structurally preventing expression-language injection at design time.

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 require input neutralization and safe EL construction to prevent injection flaws.

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.

finds

Security testing in development and acceptance can detect EL injection but does not itself implement the fix.

prevents

Secure SDLC mandates input validation and output encoding that directly prevent expression-language injection.

prevents

Application security requirements explicitly call for controls against injection flaws including EL injection.

prevents

Secure architecture principles reduce the attack surface but do not prescribe the specific neutralization techniques needed.

prevents

Secure coding standards require proper escaping and parameterization of expression-language statements.

References