On June 8, 2026, the U.S. CISA updated its Known Exploited Vulnerabilities (KEV) Catalog to include two new high-impact vulnerabilities that are being actively exploited by threat actors. The additions are CVE-2026-42271, a command injection flaw in BerriAI's LiteLLM tool, and CVE-2026-50751, a critical authentication bypass in Check Point Security Gateways. The inclusion in the KEV catalog signifies a grave and imminent risk to federal networks. Under Binding Operational Directive (BOD) 22-01, Federal Civilian Executive Branch (FCEB) agencies are mandated to remediate these vulnerabilities by the specified deadlines. CISA strongly advises all organizations to prioritize patching these flaws to reduce their attack surface.
The two vulnerabilities added to the KEV catalog represent significant and distinct threats to modern IT environments.
This high-severity vulnerability (CVSS 8.7) affects LiteLLM, a popular open-source library that provides a unified interface for interacting with over 100 Large Language Model (LLM) APIs. The flaw is a command injection vulnerability that allows an authenticated user to execute arbitrary commands on the server hosting the LiteLLM instance. Given that LiteLLM instances often store API keys and credentials for various AI services, a compromise could be devastating. Attackers can steal these credentials, pivot to downstream AI and cloud infrastructure, and potentially compromise sensitive data processed by the LLMs.
This critical vulnerability (CVSS 9.3) affects Check Point's VPN gateways that are configured with the deprecated IKEv1 protocol. As detailed in other advisories, it allows an unauthenticated remote attacker to bypass authentication and gain access to an organization's internal network. This provides a direct path for threat actors, including ransomware groups, to establish a foothold and launch further attacks.
Inclusion in the KEV catalog means these are not theoretical risks; they are proven, active threats.
For CVE-2026-42271, organizations using LiteLLM are at risk of complete compromise of their AI infrastructure. Attackers could steal proprietary data, manipulate LLM outputs, or run up massive bills on cloud AI services. This represents a significant supply chain risk for the burgeoning AI ecosystem.
For CVE-2026-50751, the impact is immediate and severe: unauthorized network access. This can lead to widespread ransomware deployment, major data breaches, and prolonged business disruption.
By adding these to the KEV catalog, CISA is sending a clear signal that these vulnerabilities are being used to compromise organizations now. The directive for federal agencies to patch underscores the severity, but the warning applies to all sectors.
No specific Indicators of Compromise (IPs, domains, hashes) were provided in the source articles.
Security teams should hunt for signs of compromise related to these vulnerabilities:
LiteLLM Proxy Logslitemsh, bash, or powershell.exe on the host server.IKEv1 TrafficCheck Point VPN LogsRemediation must be swift and decisive.
Applying vendor-supplied patches is the most direct way to remediate known vulnerabilities.
Regularly auditing systems and configurations for vulnerabilities and misconfigurations is crucial for proactive defense.
Properly configuring software, such as disabling deprecated protocols like IKEv1, can mitigate vulnerabilities even before a patch is applied.
Organizations must treat any vulnerability listed in the CISA KEV catalog as a top-tier priority. For both CVE-2026-42271 in LiteLLM and CVE-2026-50751 in Check Point, the immediate action is to deploy the vendor-provided patches. Vulnerability management teams should leverage the KEV feed to automatically escalate these issues, bypassing standard risk-based prioritization models that might otherwise underestimate their urgency. A 'patch-by-deadline' policy, mirroring the one CISA imposes on federal agencies, should be adopted by all mature security organizations to minimize the window of exposure to these proven threats.
CISA adds CVE-2026-42271 and CVE-2026-50751 to the KEV Catalog.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
Help others stay informed about cybersecurity threats
Every tactic, technique, and sub-technique used in this threat has been identified and mapped to the MITRE ATT&CK framework for consistent, actionable threat language.
Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.
Detection rules, incident response steps, and D3FEND-aligned mitigation strategies are included so your team can act on this intelligence immediately.
Structured threat data is packaged as a STIX 2.1 bundle and can be visualized as an interactive graph — relationships between actors, malware, techniques, and indicators.
Sigma detection rules are derived from the threat techniques in this article and can be converted for deployment across any major SIEM or EDR platform.