Focus on langflow vulnerabilities and metrics.
Last updated: 16 Jan 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with langflow. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.
For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.
Total langflow CVEs: 11
Earliest CVE date: 10 Jun 2024, 20:15 UTC
Latest CVE date: 02 Jan 2026, 20:16 UTC
Latest CVE reference: CVE-2026-21445
30-day Count (Rolling): 3
365-day Count (Rolling): 6
Calendar-based Variation
Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.
Month Variation (Calendar): 200.0%
Year Variation (Calendar): 20.0%
Month Growth Rate (30-day Rolling): 200.0%
Year Growth Rate (365-day Rolling): 20.0%
Average CVSS: 0.21
Max CVSS: 2.3
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 11 |
| 4.0-6.9 | 0 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for langflow, sorted by severity first and recency.
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.0.dev45, multiple critical API endpoints in Langflow are missing authentication controls. The issue allows any unauthenticated user to access sensitive user conversation data, transaction histories, and perform destructive operations including message deletion. This affects endpoints handling personal data and system operations that should require proper authorization. Version 1.7.0.dev45 contains a patch.
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.0, if an arbitrary path is specified in the request body's `fs_path`, the server serializes the Flow object into JSON and creates/overwrites a file at that path. There is no path restriction, normalization, or allowed directory enforcement, so absolute paths (e.g., /etc/poc.txt) are interpreted as is. Version 1.7.0 fixes the issue.
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.0, Langflow provides an API Request component that can issue arbitrary HTTP requests within a flow. This component takes a user-supplied URL, performs only normalization and basic format checks, and then sends the request using a server-side httpx client. It does not block private IP ranges (127[.]0[.]0[.]1, the 10/172/192 ranges) or cloud metadata endpoints (169[.]254[.]169[.]254), and it returns the response body as the result. Because the flow execution endpoints (/api/v1/run, /api/v1/run/advanced) can be invoked with just an API key, if an attacker can control the API Request URL in a flow, non-blind SSRF is possible—accessing internal resources from the server’s network context. This enables requests to, and collection of responses from, internal administrative endpoints, metadata services, and internal databases/services, leading to information disclosure and providing a foothold for further attacks. Version 1.7.0 contains a patch for this issue.
Langflow versions up to and including 1.6.9 contain a chained vulnerability that enables account takeover and remote code execution. An overly permissive CORS configuration (allow_origins='*' with allow_credentials=True) combined with a refresh token cookie configured as SameSite=None allows a malicious webpage to perform cross-origin requests that include credentials and successfully call the refresh endpoint. An attacker-controlled origin can therefore obtain fresh access_token / refresh_token pairs for a victim session. Obtained tokens permit access to authenticated endpoints — including built-in code-execution functionality — allowing the attacker to execute arbitrary code and achieve full system compromise.
Langflow is a tool for building and deploying AI-powered agents and workflows. A privilege escalation vulnerability exists in Langflow containers where an authenticated user with RCE access can invoke the internal CLI command langflow superuser to create a new administrative user. This results in full superuser access, even if the user initially registered through the UI as a regular (non-admin) account. A patched version has not been made public at this time.
Langflow versions prior to 1.3.0 are susceptible to code injection in the /api/v1/validate/code endpoint. A remote and unauthenticated attacker can send crafted HTTP requests to execute arbitrary code.
langflow <=1.0.18 is vulnerable to Remote Code Execution (RCE) as any component provided the code functionality and the components run on the local machine rather than in a sandbox.
langflow v1.0.12 was discovered to contain a remote code execution (RCE) vulnerability via the PythonCodeTool component.
A vulnerability classified as problematic was found in Langflow up to 1.0.18. Affected by this vulnerability is an unknown functionality of the file \src\backend\base\langflow\interface\utils.py of the component HTTP POST Request Handler. The manipulation of the argument remaining_text leads to inefficient regular expression complexity. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Langflow versions prior to 1.0.13 suffer from a Privilege Escalation vulnerability, allowing a remote and low privileged attacker to gain super admin privileges by performing a mass assignment request on the '/api/v1/users' endpoint.
Langflow through 0.6.19 allows remote code execution if untrusted users are able to reach the "POST /api/v1/custom_component" endpoint and provide a Python script.