A command injection vulnerability (CVE-2026-42271) in BerryAI’s LiteLLM open-source AI gateway is being exploited by attackers, the US Cybersecurity and Infrastructure Security Agency (CISA) confirmed by adding the flaw to its Known Exploited Vulnerabilities catalog on Monday. About CVE-2026-42271 LiteLLM is an open-source library that provides a unified interface for calling many different large language model APIs using a single (OpenAI) format. It’s used by both developers and enterprises, to avoid vendor lock-in, centrally manage … More → The post LiteLLM vulnerability under active attack, CISA warns (CVE-2026-42271) appeared first on Help Net Security .

CISA has added two new vulnerabilities to its Known Exploited Vulnerabilities (KEV) Catalog , based on evidence of active exploitation. CVE-2026-42271 BerriAI LiteLLM Command Injection Vulnerability CVE-2026-50751 Check Point Security Gateway Improper Authentication Vulnerability These types of vulnerabilities are a frequent attack vector for malicious cyber actors and pose significant risks to the federal enterprise. Binding Operational Directive (BOD) 22-01: Reducing the Significant Risk of Known Exploited Vulnerabilities established the KEV Catalog as a living list of known Common Vulnerabilities and Exposures (CVEs) that carry significant risk to the federal enterprise. BOD 22-01 requires Federal Civilian Executive Branch (FCEB) agencies to remediate identified vulnerabilities by the due date to protect FCEB networks against active threats. See the BOD 22-01 Fact Sheet for more information. Although BOD 22-01 only applies to FCEB agencies, CISA strongly urges all organizations to reduce their exposure to cyberattacks by prioritizing timely remediation of KEV Catalog vulnerabilities as part of their vulnerability management practice. CISA will continue to add vulnerabilities to the catalog that meet the specified criteria . 

BerriAI LiteLLM contains a command injection vulnerability that could allow any authenticated user, including holders of low-privilege internal-user keys, to run arbitrary commands on the host.

This vulnerability allows local attackers to escalate privileges on affected installations of TensorFlow. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The ZDI has assigned a CVSS rating of 7.0. The following CVEs are assigned: CVE-2026-2492.