What is the CVSS score of CVE-2020-7239?

CVE-2020-7239 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: 1.4%.

Is there a public PoC exploit available for CVE-2020-7239?

Yes, a public proof-of-concept exploit is available for CVE-2020-7239. Prioritise patching immediately. EPSS: 1.4%.

Chatbot With Ibm Watson CVE-2020-7239

MEDIUM

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

2020-01-21 cve@mitre.org

XSS WordPress Chatbot With Ibm Watson

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

Jan 21, 2020 - 05:15 nvd

MEDIUM 6.1

DescriptionNVD

The conversation-watson plugin before 0.8.21 for WordPress has a DOM-based XSS vulnerability that is executed when a chat message containing JavaScript is sent.

AnalysisAI

The conversation-watson plugin before 0.8.21 for WordPress has a DOM-based XSS vulnerability that is executed when a chat message containing JavaScript is sent. 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. The conversation-watson plugin before 0.8.21 for WordPress has a DOM-based XSS vulnerability that is executed when a chat message containing JavaScript is sent. Affected products include: Ibm Chatbot With Ibm Watson. Version information: before 0.8.21.

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.