Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:NSummary
CVE-2025-36436 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Ibm Cloud Pak For Business Automation. Its CVSS base score is 6.4 (Medium).
Operationally, ranked at the 11th 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
- 🇪🇺 ENISA EUVD: EUVD-2025-206788
Vulnerability Data
IBM Cloud Pak for Business Automation 25.0.0 through 25.0.0 Interim Fix 002, 24.0.1 through 24.0.1 Interim Fix 005, and 24.0.0 through 24.0.0 Interim Fix 007 is vulnerable to stored cross-site scripting. This vulnerability allows an authenticated user to embed arbitrary…
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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
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation and sanitization of all user-supplied input before it is stored or rendered in the Web UI, blocking the arbitrary JavaScript injection described in CVE-2025-36436.
Requires filtering or encoding of information returned to users, preventing stored script payloads from executing in other authenticated sessions and thereby stopping credential disclosure.
Enforces least privilege so that authenticated users cannot write arbitrary content into shared UI elements that are later rendered for other users, limiting the attack surface of this stored XSS flaw.
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.
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).
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.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
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.
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.
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.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.