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CVE-2026-17630 is a critical remote code execution vulnerability affecting IBM Langflow Open Source Software (OSS) versions 1.0.0 through 1.10.3. The flaw arises from improper validation of configuration parameters, allowing a remote attacker with high privileges to execute arbitrary code on the underlying host system.
At its core, the vulnerability stems from an incomplete list of disallowed inputs (CWE-184) within Langflow’s configuration parameter handling. When the application initializes or updates component configurations, it passes user-supplied parameters to underlying system-level functions without adequately enforcing an allowlist of permitted values. Because the validation is incomplete—rather than absent—certain characters, reserved keywords, or command substitution sequences may pass through the filtering layer and reach dangerous sinks such as system interpreters or shell execution contexts.
The attack vector is network-based (AV:N) with low attack complexity (AC:L), but it requires high privileges (PR:H). This does not necessarily mean the attacker needs authenticated access to the application; rather, an unauthenticated attacker must first escalate to an administrative role or obtain valid high-privilege credentials. Once that level of access is achieved, exploitation is trivial—no user interaction is required (UI:N). The attack surface includes all configuration entry points: project settings, environment variable overrides, custom component parameters, and model connection settings. Since Langflow exposes a RESTful API for managing these configurations, any endpoint that accepts configuration payloads is a potential vector.
The exploitation scenario typically involves an attacker submitting maliciously crafted configuration parameters through API endpoints or configuration interfaces, which are then processed without proper validation. This allows for command injection attacks where arbitrary shell commands can be executed on the target system, potentially leading to full system compromise and lateral movement within network environments. The post-exploitation impact is comprehensive (C:H/I:H/A:H), indicating that confidentiality, integrity, and availability are all fully compromised.
IBM has addressed this vulnerability in Langflow OSS version 1.11.0 and later. Organizations are strongly advised to upgrade immediately.
DailyCVE Form:
Platform: IBM Langflow OSS
Version: 1.0.0-1.10.3
Vulnerability: Remote Code Execution
Severity: High (CVSS 7.2)
date: 2026-08-05
Prediction: Patch v1.11.0 (Jul 23)
What Undercode Say:
Analytics:
- CVSS Score: 7.2 (High)
- CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
- CWE: CWE-184: Incomplete List of Disallowed Inputs
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: High
- User Interaction: None
- Scope: Unchanged
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
- Exploit Availability: None publicly known
- MITRE ATT&CK: T1190 (Exploit Public-Facing Application)
Bash Commands and Codes:
Check current Langflow OSS version pip show langflow | grep Version Check installed version via Python python -c "import langflow; print(langflow.<strong>version</strong>)" Upgrade to patched version 1.11.0 or later pip install --upgrade langflow>=1.11.0 Verify upgrade pip show langflow | grep Version For Docker deployments, pull the latest image docker pull langflowai/langflow:1.11.0 Run with the patched version docker run -d -p 7860:7860 langflowai/langflow:1.11.0
Exploit:
An attacker with high privileges can craft malicious configuration parameters containing command injection payloads (e.g., $(id), `whoami` , ; rm -rf /) and submit them via Langflow’s REST API endpoints that accept configuration data (e.g., /api/v1/projects/{id}/config, /api/v1/components/{id}/settings). The application processes these parameters without proper sanitization, passing them to system-level functions that execute the injected commands with the privileges of the Langflow server process. Successful exploitation grants the attacker full control over the host system, enabling data exfiltration, malware deployment, and lateral movement.
Protection:
- Upgrade immediately to Langflow OSS version 1.11.0 or later.
- If upgrade is not possible, disable unnecessary configuration interfaces and restrict access to administrative endpoints using network segmentation and firewall rules.
- Implement strict input validation at all entry points that accept configuration parameters, using an allowlist of permitted values.
- Deploy a Web Application Firewall (WAF) to filter malicious payloads targeting configuration endpoints.
- Run Langflow with the least privilege necessary, using a dedicated unprivileged user or container to limit potential damage.
- Monitor logs for suspicious configuration changes or unusual command execution patterns.
- Conduct comprehensive security assessments to identify potential exploitation vectors within existing deployments.
Impact:
Successful exploitation allows a remote attacker to execute arbitrary code on the underlying host system with the privileges of the Langflow server process. Given Langflow’s typical deployment as a centralized data-processing platform for AI agents and workflows, a successful exploit could lead to:
– Full system compromise – complete control over the host machine.
– Data exfiltration – theft of sensitive data, including proprietary models, training datasets, and environment secrets.
– Model theft – exfiltration of valuable AI models and intellectual property.
– Lateral movement – pivoting to adjacent infrastructure within the network.
– Service disruption – denial of service or ransomware deployment.
– Privilege escalation – potential to gain higher privileges within the organization’s infrastructure.
The CVSS score of 7.2 (High) reflects the severity of this vulnerability, with the potential for complete loss of confidentiality, integrity, and availability.
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Sources:
Reported By: nvd.nist.gov
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