What is the CVSS score of CVE-2025-58768?

CVE-2025-58768 has a CVSS 3.1 base score of 9.6 (Critical). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H. EPSS exploitation probability: 0.1%.

Which versions of Deepchat are affected by CVE-2025-58768?

Organizations using DeepChat face critical risk from CVE-2025-58768, a code injection vulnerability rated CVSS 9.6.

Is there a public PoC exploit available for CVE-2025-58768?

Yes, a public proof-of-concept exploit is available for CVE-2025-58768. Prioritise patching immediately. EPSS: 0.1%.

How to fix or mitigate CVE-2025-58768?

Within 24 hours: Identify all affected systems and apply vendor patches immediately. Validate that input sanitization is in place for all user-controlled parameters.

Deepchat CVE-2025-58768

CRITICAL

Code Injection (CWE-94)

2025-09-09 security-advisories@github.com

XSS RCE Code Injection Deepchat Thinkinai

9.6

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

9.6 CRITICAL

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

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Changed

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 19:11 vuln.today

PoC Detected

Sep 18, 2025 - 20:26 vuln.today

Public exploit code

CVE Published

Sep 09, 2025 - 21:15 nvd

CRITICAL 9.6

DescriptionGitHub Advisory

DeepChat is a smart assistant uses artificial intelligence. Prior to version 0.3.5, in the Mermaid chart rendering component, there is a risky operation of directly using innerHTML to set user content. Therefore, any malicious content rendered via Mermaid will directly trigger the exploit chain, leading to command execution. This vulnerability is primarily caused by a failure to fully address the existing XSS issue in the project, leading to another exploit chain. The exploit chain is consistent with the report GHSA-hqr4-4gfc-5p2j, executing arbitrary JavaScript code via XSS and arbitrary commands via exposed IPC. Version 0.3.5 contains an updated fix.

AnalysisAI

DeepChat is a smart assistant uses artificial intelligence. Rated critical severity (CVSS 9.6), 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 Code Injection (CWE-94), which allows attackers to inject and execute arbitrary code within the application. DeepChat is a smart assistant uses artificial intelligence. Prior to version 0.3.5, in the Mermaid chart rendering component, there is a risky operation of directly using innerHTML to set user content. Therefore, any malicious content rendered via Mermaid will directly trigger the exploit chain, leading to command execution. This vulnerability is primarily caused by a failure to fully address the existing XSS issue in the project, leading to another exploit chain. The exploit chain is consistent with the report GHSA-hqr4-4gfc-5p2j, executing arbitrary JavaScript code via XSS and arbitrary commands via exposed IPC. Version 0.3.5 contains an updated fix. Affected products include: Thinkinai Deepchat. Version information: version 0.3.5.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Never evaluate user-controlled input as code. Use sandboxing, disable dangerous functions, apply strict input validation.