CVE-2026-17633 Overview
CVE-2026-17633 is a code injection vulnerability affecting IBM Langflow OSS versions 1.0.0 through 1.10.3. The flaw allows a remote authenticated attacker to execute arbitrary code on the underlying host through improper neutralization of code constructs [CWE-94]. Langflow is a visual framework used to build workflows for large language model (LLM) applications, making affected instances attractive targets in AI development environments. Successful exploitation compromises confidentiality, integrity, and availability of the Langflow host and can pivot into connected model backends or data sources.
Critical Impact
Authenticated remote attackers can execute arbitrary code on IBM Langflow OSS servers, leading to full host compromise and potential lateral movement into AI pipelines.
Affected Products
- IBM Langflow OSS 1.0.0
- IBM Langflow OSS versions between 1.0.0 and 1.10.3
- IBM Langflow OSS 1.10.3
Discovery Timeline
- 2026-08-05 - CVE-2026-17633 published to NVD
- 2026-08-06 - Last updated in NVD database
Technical Details for CVE-2026-17633
Vulnerability Analysis
CVE-2026-17633 is classified as Code Injection under CWE-94: Improper Control of Generation of Code. The vulnerability exists in IBM Langflow OSS releases from 1.0.0 up to and including 1.10.3. An attacker with valid authenticated access to the Langflow interface or API can submit crafted input that the application interprets as executable code. The resulting execution occurs in the context of the Langflow service process on the host.
Langflow orchestrates LLM components, chains, and custom Python nodes. Environments that expose Langflow to internal users, partners, or shared tenants meaningfully increase the exposed attack surface. Exploitation grants adversaries the ability to read secrets, tamper with model configurations, and execute follow-on payloads against connected systems.
Root Cause
The root cause is improper control over dynamically generated or evaluated code paths within Langflow. Untrusted attacker-supplied content reaches a code interpreter, evaluator, or template engine without sufficient neutralization. This lets injected payloads execute as first-class code rather than remain inert data. Refer to the IBM Support Page for the vendor's technical statement.
Attack Vector
The attack requires network access and valid credentials to the Langflow application. An attacker submits a malicious flow definition, component payload, or API request containing code constructs that the server evaluates. High attack complexity indicates the exploit depends on specific conditions such as component configuration, permissions, or interaction between Langflow subsystems. Once triggered, code executes under the service account, and the scope changes to include resources beyond the vulnerable component.
No verified public exploit code is available. See the IBM Support Page for vendor-provided technical details.
Detection Methods for CVE-2026-17633
Indicators of Compromise
- Unexpected child processes spawned by the Langflow service, such as sh, bash, python, or curl, without matching workflow execution history.
- Outbound network connections from the Langflow host to unfamiliar external hosts, particularly during or immediately after API activity.
- Newly created or modified Langflow components, custom nodes, or flow definitions that contain shell metacharacters or dynamic evaluation calls.
- Authentication events from unusual source IPs or geolocations, followed by rapid API calls that mutate flows or components.
Detection Strategies
- Monitor Langflow application logs for API requests that create or modify custom components, flows, or Python code blocks, and correlate against known-good user activity.
- Deploy endpoint behavioral monitoring on Langflow hosts to identify anomalous process creation chains originating from the Langflow runtime.
- Alert on writes to sensitive files, credential stores, or SSH configuration directories from the Langflow service account.
Monitoring Recommendations
- Ingest Langflow access, audit, and application logs into a central SIEM and retain them for post-incident analysis.
- Baseline expected process trees and network destinations for Langflow servers so deviations become identifiable.
- Track version and patch level of every Langflow instance in inventory, including shadow deployments used by data science teams.
How to Mitigate CVE-2026-17633
Immediate Actions Required
- Upgrade IBM Langflow OSS to a version later than 1.10.3 per the vendor advisory as soon as a fixed release is available.
- Restrict network exposure of Langflow instances to trusted internal networks, and require VPN or zero-trust access for remote users.
- Audit all Langflow user accounts, remove unused accounts, and rotate credentials for any account with elevated permissions.
- Review recently created or modified flows and custom components for injected code or unexpected changes.
Patch Information
IBM has published guidance on the IBM Support Page. Administrators should apply the vendor-recommended fixed version and verify successful installation across all Langflow deployments, including containerized instances.
Workarounds
- Disable or restrict features that permit user-supplied Python code, custom components, or dynamic template evaluation until the patch is applied.
- Enforce strict authentication and role-based access control so only trusted operators can create or edit Langflow components.
- Run Langflow inside a hardened container with a non-root user, read-only file system where practical, and egress network restrictions.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
