Cyber Resilience

CVE-2025-36135

XSS in Ibm Sterling B2B Integrator 6.0.0.0 – 6.1.2.7_1

Published
07 November 2025
Modified
11 December 2025
Patch / advisory
CVSS Score v3.1 5.4
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0016 6th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-36135 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Ibm Sterling B2B Integrator. Its CVSS base score is 5.4 (Medium).

Operationally, 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 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 Sterling B2B Integrator 6.0.0.0 through 6.1.2.7_1, 6.2.0.0 through 6.2.0.5, and 6.2.1.0 and IBM Sterling File Gateway 6.0.0.0 through 6.1.2.7_1, 6.2.0.0 through 6.2.0.5, and 6.2.1.0 is vulnerable to cross-site scripting. This vulnerability allows an authenticated user to embed arbitrary JavaScript…

more

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-2023-42656Same product class: managed file transfer
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-2023-6217Same product class: managed file transfer
CVE-2023-26270Same vendor: Ibm
CVE-2023-30436Same vendor: Ibm
CVE-2023-24957Same vendor: Ibm

Affected Assets

ibm
sterling b2b integrator
6.2.1.0 · 6.0.0.0 — 6.1.2.7_1 · 6.2.0.0 — 6.2.0.5
ibm
sterling file gateway
6.2.1.0 · 6.0.0.0 — 6.1.2.7_1 · 6.2.0.0 — 6.2.0.5

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

Requires validation and sanitization of all user-supplied input before it is rendered in the Web UI, directly blocking the arbitrary JavaScript injection described in CVE-2025-36135.

prevent

Mandates output filtering/encoding of information returned to users, preventing the embedded script from executing and disclosing credentials within the trusted session.

detect

Enables continuous monitoring of Web UI interactions and anomalous script behavior that would indicate successful exploitation of the 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.

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