PRIOn Logo

CVE-2024-1880 Command injection

Remediate Within 6 Months

CVE Information

Original CVE data


An OS command injection vulnerability exists in the MacOS Text-To-Speech class MacOSTTS of the significant-gravitas/autogpt project, affecting versions up to v0.5.0. The vulnerability arises from the improper neutralization of special elements used in an OS command within the `_speech` method of the MacOSTTS class. Specifically, the use of `os.system` to execute the `say` command with user-supplied text allows for arbitrary code execution if an attacker can inject shell commands. This issue is triggered when the AutoGPT instance is run with the `--speak` option enabled and configured with `TEXT_TO_SPEECH_PROVIDER=macos`, reflecting back a shell injection snippet. The impact of this vulnerability is the potential execution of arbitrary code on the instance running AutoGPT. The issue was addressed in version 5.1.0.

CVSS v2-
CVSS v3-
Affected Vendors

Basic Analysis

Common vulnerability metrics

Vulnerabilty type as detected by PRIOnengine

Command injection

CVSS Scores as calculated by PRIOnengine
CVSS v26.8
CVSS v37.8

Vulnerability weakness type is in the top 25 CWEs according to MITRE. View Mitre Top 25 CWEs


No exploit code is reported to exist.

Active Exploitation

Vulnerability is not in CISA's Known Exploited Vulnerabilities (KEV) catalog. See the KEV Catalog

Social Network Activity


Threat Actor Activity

No sightings of the vulnerability within threat reports.

Cybersecurity Frameworks

How the vulnerability maps against various cybersecurity frameworks

T1499.004 - Endpoint Denial of Service (Application or System Exploitation)
T1203 - Exploitation for Client Execution
T1190 - Exploit Public-Facing Application
T1083 - File and Directory Discovery
T1059 - Command and Scripting Interpreter
T1005 - Data from Local System

Compliance Impact

How the submited vulnerability affects compliance

PCI DSS v3.2.1-6.5.1 - Injection Flaws

Web Application Security Frameworks

Applicable if the issue likely affects a web application