9.6
CRITICAL CVSS 3.1
CVE-2025-67511
Cybersecurity AI (CAI) vulnerable to Command Injection in run_ssh_command_with_credentials Agent tool
Description

Cybersecurity AI (CAI) is an open-source framework for building and deploying AI-powered offensive and defensive automation. Versions 0.5.9 and below are vulnerable to Command Injection through the run_ssh_command_with_credentials() function, which is available to AI agents. Only password and command inputs are escaped in run_ssh_command_with_credentials to prevent shell injection; while username, host and port values are injectable. This issue does not have a fix at the time of publication.

INFO

Published Date :

Dec. 11, 2025, 12:16 a.m.

Last Modified :

Dec. 11, 2025, 6:16 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2025-67511 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 CRITICAL [email protected]
CVSS 3.1 CRITICAL MITRE-CVE
Solution
Update Cybersecurity AI to a version that includes a fix for command injection vulnerabilities.
  • Update Cybersecurity AI to the latest version.
  • Apply vendor-provided security patches.
  • Review and restrict access to the function.
  • Sanitize all user inputs rigorously.
References to Advisories, Solutions, and Tools
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-67511 is associated with the following CWEs:

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2025-67511 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2025-67511 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Modified by [email protected]

    Dec. 11, 2025

    Action Type Old Value New Value
    Added Reference https://www.hacktivesecurity.com/blog/2025/12/10/cve-2025-67511-tricking-a-security-ai-agent-into-pwning-itself
  • New CVE Received by [email protected]

    Dec. 11, 2025

    Action Type Old Value New Value
    Added Description Cybersecurity AI (CAI) is an open-source framework for building and deploying AI-powered offensive and defensive automation. Versions 0.5.9 and below are vulnerable to Command Injection through the run_ssh_command_with_credentials() function, which is available to AI agents. Only password and command inputs are escaped in run_ssh_command_with_credentials to prevent shell injection; while username, host and port values are injectable. This issue does not have a fix at the time of publication.
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
    Added CWE CWE-77
    Added Reference https://github.com/aliasrobotics/cai/commit/09ccb6e0baccf56c40e6cb429c698750843a999c
    Added Reference https://github.com/aliasrobotics/cai/security/advisories/GHSA-4c65-9gqf-4w8h
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
Base CVSS Score: 9.6
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact