What is the CVSS score of CVE-2019-18350?

CVE-2019-18350 has a CVSS 3.1 base score of 6.1 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N. EPSS exploitation probability: 1.1%.

Is there a public PoC exploit available for CVE-2019-18350?

Yes, a public proof-of-concept exploit is available for CVE-2019-18350. Prioritise patching immediately. EPSS: 1.1%.

Ant Design Pro CVE-2019-18350

MEDIUM

Cross-site Scripting (XSS) (CWE-79)

2019-10-23 cve@mitre.org

XSS Ant Design Pro

6.1

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

6.1 MEDIUM

AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Changed

Confidentiality

Low

Integrity

Low

Availability

None

Lifecycle Timeline

CVE Published

Oct 23, 2019 - 18:15 nvd

MEDIUM 6.1

DescriptionNVD

In Ant Design Pro 4.0.0, reflected XSS in the user/login redirect GET parameter affects the authorization component, leading to execution of JavaScript code in the login after-action script.

AnalysisAI

In Ant Design Pro 4.0.0, reflected XSS in the user/login redirect GET parameter affects the authorization component, leading to execution of JavaScript code in the login after-action script. Rated medium severity (CVSS 6.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Cross-Site Scripting (XSS) (CWE-79), which allows attackers to inject malicious scripts into web pages viewed by other users. In Ant Design Pro 4.0.0, reflected XSS in the user/login redirect GET parameter affects the authorization component, leading to execution of JavaScript code in the login after-action script. Affected products include: Ant.Design Ant Design Pro.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Sanitize all user input, use Content-Security-Policy headers, encode output contextually (HTML, JS, URL). Use frameworks with built-in XSS protection.