Langflow Agent Framework Exposes Critical APIs Without Authentication (CVE-2026-21445)

Key Takeaways

• Critical Langflow APIs were accessible without authentication
• Exposed endpoints allowed access to conversations and workflows
• Vulnerability impacts agent-based AI development platforms
• No confirmed in-the-wild exploitation reported

Missing Authentication Exposes Agent Control Plane

A newly disclosed vulnerability in Langflow highlights a critical security weakness in agent workflow platforms. Multiple Langflow API endpoints were found to be accessible without authentication, allowing unauthorized users to view sensitive conversation data and potentially manipulate agent workflows. The issue underscores how foundational security controls are often missing from rapidly evolving agent frameworks.

What We Know

Langflow is an open-source framework used to build, test, and deploy AI agents and workflow pipelines. On February 1, 2026, the National Vulnerability Database published CVE-2026-21445, documenting that several Langflow API endpoints lacked authentication controls
(https://nvd.nist.gov/vuln/detail/CVE-2026-21445).

According to the NVD and related security advisories, unauthenticated attackers could access internal application data, including user conversations, execution logs, and workflow metadata. In some configurations, exposed endpoints also allowed modification or deletion of workflows, raising concerns about integrity and availability in environments where Langflow is deployed in shared or internet-facing contexts.

The vulnerability was responsibly disclosed and patches were made available. Public advisories and vulnerability databases began covering the issue in early February 2026, making it widely known shortly after the CVE publication
(https://github.com/advisories/GHSA-c5cp-vx83-jhqx).

No evidence of real-world exploitation has been publicly reported as of this writing.

What Could Happen

If exploited, unauthenticated access to agent workflow APIs could allow attackers to extract sensitive data, alter agent behavior, or disrupt automated processes. In enterprise environments, this could expose proprietary information or enable manipulation of AI-driven business logic.

Agent frameworks amplify this risk because they often act as orchestration layers between models, tools, and enterprise systems. When authentication is missing at the control plane, attackers do not need to bypass complex model safeguards to cause harm. They can directly interact with the infrastructure managing agent execution.

Why It Matters

This incident highlights a recurring pattern in agentic AI ecosystems: security fundamentals lag behind functionality. As organizations deploy agent frameworks to automate workflows and integrate AI into production systems, missing controls such as authentication and authorization become high-impact risks.

From a governance perspective, vulnerabilities like this undermine assumptions about isolation, accountability, and auditability. Even without confirmed exploitation, exposed agent control planes represent unacceptable risk for regulated or sensitive environments.

PointGuard AI Perspective

PointGuard AI helps organizations secure agent frameworks by providing visibility into AI systems, workflows, and exposed interfaces. By continuously identifying misconfigurations such as unauthenticated APIs, PointGuard AI enables teams to detect and remediate high-risk conditions before they are exploited.

Policy enforcement and runtime monitoring help ensure that agent platforms operate within defined security boundaries, reducing the likelihood that infrastructure weaknesses lead to data exposure or workflow compromise. As agent adoption accelerates, foundational controls must be enforced consistently across all AI orchestration layers.

Incident Scorecard Details

Total AISSI Score: 6.4/10

Criticality = 7, Exposes sensitive agent workflow data and controls, AISSI weighting: 25%
Propagation = 5, Limited to affected deployments, AISSI weighting: 20%
Exploitability = 5, Unauthenticated access but requires reachable endpoints, AISSI weighting: 15%
Supply Chain = 6, Impacts widely used agent framework, AISSI weighting: 15%
Business Impact = 4, Disclosure only with no confirmed exploitation, AISSI weighting: 25%

Sources

NIST National Vulnerability Database CVE-2026-21445
https://nvd.nist.gov/vuln/detail/CVE-2026-21445

GitHub Security Advisory for Langflow
https://github.com/advisories/GHSA-c5cp-vx83-jhqx