CVE-2025-1753 in llama_indexinfo

Summary

by MITRE • 05/28/2025

LLama-Index CLI version v0.12.20 contains an OS command injection vulnerability. The vulnerability arises from the improper handling of the `--files` argument, which is directly passed into `os.system`. An attacker who controls the content of this argument can inject and execute arbitrary shell commands. This vulnerability can be exploited locally if the attacker has control over the CLI arguments, and remotely if a web application calls the LLama-Index CLI with a user-controlled filename. This issue can lead to arbitrary code execution on the affected system.

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Analysis

by VulDB Data Team • 05/28/2025

The vulnerability identified as CVE-2025-1753 affects LLama-Index CLI version v0.12.20 and represents a critical operating system command injection flaw that stems from improper input validation within the command line interface. This vulnerability specifically manifests when the `--files` argument is processed without adequate sanitization before being passed to the `os.system` function, creating a direct pathway for malicious command execution. The flaw exists at the intersection of insecure coding practices and inadequate parameter handling, where user-supplied data flows directly into system-level command execution without proper filtering or escaping mechanisms.

The technical implementation of this vulnerability follows a well-established pattern of command injection attacks where the attacker can manipulate the CLI argument to inject arbitrary shell commands through the `os.system` call. When the CLI processes the `--files` parameter, it fails to validate or sanitize the input, allowing an attacker to append additional commands that will execute within the system's shell context. This type of vulnerability maps directly to CWE-78, which specifically addresses OS Command Injection, and aligns with ATT&CK technique T1059.001 for command and scripting interpreter. The vulnerability's exploitation potential is significant as it can be triggered both locally when an attacker controls CLI arguments and remotely when web applications invoke the CLI with user-controlled filenames, expanding the attack surface beyond traditional local privilege escalation scenarios.

The operational impact of this vulnerability extends far beyond simple command execution, as successful exploitation can result in complete system compromise and unauthorized access to sensitive data. Attackers could potentially execute arbitrary code with the privileges of the user running the CLI process, which may include elevated system permissions depending on the execution context. The vulnerability's remote exploitability through web applications that invoke the CLI with user input creates a particularly dangerous scenario where web applications become attack vectors for command injection. This presents a serious risk to organizations that integrate LLama-Index CLI functionality into their web-based applications or services, as it allows attackers to execute commands on the underlying system without requiring direct system access. The implications include potential data exfiltration, system persistence mechanisms, privilege escalation, and complete system takeover.

Mitigation strategies for CVE-2025-1753 should focus on immediate remediation through input validation and parameter sanitization to prevent command injection attacks. Organizations should implement proper argument validation by rejecting or escaping special shell characters and using safe alternative APIs such as `subprocess.run` with explicit argument lists instead of `os.system`. The recommended approach involves adopting secure coding practices that follow the principle of least privilege and input sanitization, where all user-supplied data is validated and escaped before processing. Additionally, the vulnerability requires immediate patching of LLama-Index CLI to version v0.12.21 or later, which should include proper parameter handling and input validation mechanisms. Organizations should also consider implementing network segmentation, monitoring for unusual command execution patterns, and conducting security assessments to identify any potential exploitation attempts. The implementation of these mitigations aligns with security frameworks such as the OWASP Top Ten and NIST cybersecurity guidelines, particularly focusing on input validation and secure coding practices to prevent similar vulnerabilities in future development cycles.

Responsible

@huntr Ai

Reservation

02/27/2025

Disclosure

05/28/2025

Moderation

accepted

CPE

ready

EPSS

0.01030

KEV

no

Activities

very low

Sources

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