CVE-2026-30302

Published: Mar 27, 2026 Last Modified: Mar 27, 2026
ExploitDB:
Other exploit source:
Google Dorks:
CRITICAL 10,0
Source: 134c704f-9b21-4f2e-91b3-4a467353bcc0
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: changed
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

The command auto-approval module in CodeRider-Kilo contains an OS Command Injection vulnerability, rendering its whitelist security mechanism ineffective. The vulnerability stems from the incorrect use of an incompatible command parser (the Unix-based shell-quote library) to analyze commands on the Windows platform, coupled with a failure to correctly handle Windows CMD-specific escape sequences (^). Attackers can exploit this discrepancy between the parsing logic and the execution environment by constructing payloads such as git log ^' & malicious_command ^'. The CodeRider-Kilo parser is deceived by the escape characters, misinterpreting the malicious command connector (&) as being within a protected string argument and thus auto-approving the command. However, the underlying Windows CMD interpreter ignores the escaped quotes, parsing and executing the subsequent malicious command directly. This allows attackers to achieve arbitrary Remote Code Execution (RCE) after bypassing what appears to be a legitimate Git whitelist check.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0042
Percentile
0,6th
Updated

EPSS Score Trend (Last 2 Days)

78

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

Stable
Common Consequences
Security Scopes Affected:
Confidentiality Integrity Availability Non-Repudiation
Potential Impacts:
Execute Unauthorized Code Or Commands Dos: Crash, Exit, Or Restart Read Files Or Directories Modify Files Or Directories Read Application Data Modify Application Data Hide Activities
Applicable Platforms
Technologies: AI/ML, Not Technology-Specific, Web Server
View CWE Details
https://github.com/Secsys-FDU/LLM-Tool-Calling-CVEs/issues/3