CVE-2023-31664
XSS in Wso2 Api Manager ≤ 4.2.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:NSummary
CVE-2023-31664 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Wso2 Api Manager. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 35% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
A reflected cross-site scripting vulnerability exists in the /authenticationendpoint/login.do endpoint of WSO2 API Manager versions prior to 4.2.0. The flaw, tracked as CVE-2023-31664 and assigned CWE-79, allows arbitrary web scripts or HTML to be executed through a crafted value supplied in the tenantDomain parameter. It carries a CVSS 3.1 score of 6.1 reflecting network attack vector, low complexity, no required privileges, and required user interaction with changed scope.
An unauthenticated attacker can deliver a malicious link or redirect a victim user to the login endpoint containing the injected payload. Successful exploitation results in script execution within the context of the victim’s session, enabling theft of sensitive data such as authentication tokens or cookies and limited interaction with the application on the victim’s behalf.
The WSO2 API Manager 4.2.0 release resolves the issue. Public references include a proof-of-concept repository and the project’s GitHub issue tracker documenting the component-level fix. The associated EPSS score has remained at 0.2683 with no material increase since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-35959
Vulnerability Data
A reflected cross-site scripting (XSS) vulnerability in /authenticationendpoint/login.do of WSO2 API Manager before 4.2.0 allows attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the tenantDomain parameter.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
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.