CVE-2026-45758 in guardrails
Summary
by MITRE • 06/05/2026
Guardrails AI is a Python framework that helps build AI applications. On May 11, 2026 at approximately 6:00 PM Pacific, an attacker published a malicious version of `guardrails-ai` (0.10.1) to PyPI. Aany user who installed `guardrails-ai==0.10.1` from PyPI on May 11, 2026 may be affected. Security researchers identified the malicious package within approximately 2 hours of publication, and PyPI quarantined the repository. Based on our telemetry, Guardrails AI maintainers have observed no requests to Guardrails AI infrastructure originating from the malicious 0.10.1 version, and a review of system and access logs has produced no evidence of user data exfiltration through their systems. Users should upgrade to version 0.10.2 or downgrade to version 0.10.0, both of which are unaffected. Those who installed version 0.10.1 should rotate any credentials accessible from their machine (GitHub PATs, cloud provider keys, package registry tokens, API keys) and audit their GitHub account for unauthorized workflows or repositories.
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Analysis
by VulDB Data Team • 06/06/2026
The malicious package attack on guardrails-ai represents a sophisticated supply chain compromise targeting the python package ecosystem. This incident demonstrates how attackers can exploit the trust model inherent in package repositories like PyPI to distribute malicious code to unsuspecting developers. The attack occurred within a narrow timeframe, with the malicious version 0.10.1 being published and subsequently quarantined within approximately two hours, indicating a rapid response capability from the security community. The vulnerability exploited the fundamental trust developers place in package repositories, where users expect packages to be authentic and safe. This attack vector aligns with common supply chain attack patterns documented in the attack tactics and techniques framework, specifically targeting the software development lifecycle through package repositories.
The technical flaw in this incident stems from the lack of robust package verification mechanisms within the PyPI ecosystem during the package publication process. The malicious version 0.10.1 was able to bypass existing security measures and gain distribution, potentially allowing attackers to execute arbitrary code on affected systems. The package's behavior would have been undetectable to standard security scanning tools, as it appeared legitimate and was published through normal channels. This vulnerability manifests as a code injection risk that could lead to privilege escalation, data exfiltration, and system compromise. The attack leverages the principle of least privilege by targeting developers who may have elevated access rights through their development environments, potentially enabling lateral movement within organizational networks.
The operational impact of this vulnerability extends beyond immediate code execution risks to encompass broader security implications for development environments and organizational infrastructure. Developers who installed the malicious package would have been unknowingly exposed to potential data breaches, credential compromise, and unauthorized access to their development systems. The attack could have enabled attackers to establish persistent access points through compromised development environments, potentially leading to further infiltration of production systems. This incident highlights the critical importance of maintaining up-to-date security practices and the need for robust package verification mechanisms. Organizations with extensive development operations may have experienced cascading effects, as compromised development environments could have led to the deployment of malicious code into production systems.
Mitigation strategies for this vulnerability require immediate action from affected users to ensure system integrity and prevent potential exploitation. The recommended upgrade to version 0.10.2 or downgrade to version 0.10.0 provides a direct solution to eliminate the malicious code from affected systems. Users should also implement comprehensive credential rotation procedures, particularly for access tokens, API keys, and cloud provider credentials that may have been exposed through the compromised environment. The security recommendations align with industry best practices for incident response and supply chain security, emphasizing the importance of credential hygiene and access control monitoring. Organizations should implement automated security scanning of package dependencies and establish policies for verifying package authenticity through multiple verification mechanisms, including checksum validation and trusted repository verification. This incident reinforces the need for comprehensive security monitoring and rapid response capabilities within development ecosystems to prevent similar supply chain attacks from compromising organizational security posture.