Cyber Resilience

CVE-2025-36054

XSS in Ibm Business Automation Workflow 24.0.0 … 25.0.0

Published
06 November 2025
Modified
12 December 2025
Patch / advisory
CVSS Score v3.1 6.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0019 9th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-36054 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Ibm Business Automation Workflow. Its CVSS base score is 6.1 (Medium).

Operationally, ranked at the 9th 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 SI-15 (Information Output Filtering) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

IBM Business Automation Workflow containers 24.0.0 through 24.0.0-IF006, 24.0.1 through 24.0.1-IF004, 25.0.0 through 25.0.0-IF001 and IBM Business Automation Workflow traditional with Process Federation Server 24.0.0 through 24.0.1 and 25.0.0 are vulnerable to cross-site scripting. This vulnerability allows an unauthenticated attacker…

more

to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session.

CWE(s)

Related Threats

CVEs Like This One

CVE-2023-24957Same product: Ibm Business Automation Workflow
CVE-2023-28530Same vendor: Ibm
CVE-2023-32332Same vendor: Ibm
CVE-2023-32339Same vendor: Ibm
CVE-2023-43057Same vendor: Ibm
CVE-2023-22860Same vendor: Ibm
CVE-2023-26270Same vendor: Ibm
CVE-2023-30436Same vendor: Ibm
CVE-2023-30435Same vendor: Ibm
CVE-2023-24966Same vendor: Ibm

Affected Assets

ibm
business automation workflow
24.0.0, 24.0.1, 25.0.0, all versions
ibm
process federation server
24.0.0, 24.0.1, 25.0.0

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SI-15 Information Output Filtering
Detect
Catch it (NIST detect / respond)
  • SI-4 System Monitoring
Harden
Shrink the surface (DISA STIG)

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

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation and sanitization of all inputs to the Workflow web UI, blocking the arbitrary JavaScript injection that enables this XSS attack.

prevent

Requires filtering of information returned by the Workflow web UI so that attacker-supplied script is neutralized before it reaches the browser, preventing credential theft within the trusted session.

detect

Enables continuous monitoring of Workflow web traffic and user sessions for anomalous script execution or unexpected DOM changes indicative of successful XSS exploitation.

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 target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).

PR.PS-02 partial match
prevents

Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).

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.

detects

Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.

prevents

Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.

prevents

Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.

prevents

Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.

prevents

Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.

none

Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.

References