CVE-2026-9196: CWE-94 Improper Control of Generation of Code ('Code Injection') in IBM Langflow OSS
IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.
AI Analysis
Technical Summary
CVE-2026-9196 is a code injection vulnerability in IBM Langflow OSS versions 1.0.0 through 1.10.3. The flaw occurs during the validation phase of the Agentic Assistant feature, where the application executes Python code generated by a large language model (LLM) in the backend prior to user approval. Improper control of this code generation allows an authenticated attacker to inject and execute arbitrary code, which can lead to unauthorized network access, file system interactions, or data exfiltration with the privileges of the Langflow backend process.
Potential Impact
Successful exploitation of this vulnerability could allow an authenticated attacker to execute arbitrary Python code on the backend server running Langflow OSS. This can result in high confidentiality and integrity impact, including unauthorized outbound network communications, manipulation or access of files on the server, and potential data exfiltration. The availability impact is not indicated. The CVSS v3.1 base score is 8.1 (High), reflecting network attack vector, low attack complexity, required privileges, no user interaction, and high confidentiality and integrity impact.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to authenticated users only and monitor for suspicious activity related to Agentic Assistant validation. Avoid running Langflow OSS in high-privilege contexts and consider isolating the backend process to limit potential impact of code execution.
CVE-2026-9196: CWE-94 Improper Control of Generation of Code ('Code Injection') in IBM Langflow OSS
Description
IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.
CVSS v3.1
Score 8.1high
Affected software
IBM
Langflow OSS
pkg:github/ibm/langflow_osscpe:2.3:a:ibm:langflow_oss:1.0.0:*:*:*:*:*:*:*cpe:2.3:a:ibm:langflow_oss:1.10.3:*:*:*:*:*:*:*Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-9196 is a code injection vulnerability in IBM Langflow OSS versions 1.0.0 through 1.10.3. The flaw occurs during the validation phase of the Agentic Assistant feature, where the application executes Python code generated by a large language model (LLM) in the backend prior to user approval. Improper control of this code generation allows an authenticated attacker to inject and execute arbitrary code, which can lead to unauthorized network access, file system interactions, or data exfiltration with the privileges of the Langflow backend process.
Potential Impact
Successful exploitation of this vulnerability could allow an authenticated attacker to execute arbitrary Python code on the backend server running Langflow OSS. This can result in high confidentiality and integrity impact, including unauthorized outbound network communications, manipulation or access of files on the server, and potential data exfiltration. The availability impact is not indicated. The CVSS v3.1 base score is 8.1 (High), reflecting network attack vector, low attack complexity, required privileges, no user interaction, and high confidentiality and integrity impact.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to authenticated users only and monitor for suspicious activity related to Agentic Assistant validation. Avoid running Langflow OSS in high-privilege contexts and consider isolating the backend process to limit potential impact of code execution.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- ibm
- Date Reserved
- 2026-05-21T15:28:16.679Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6a738b03bf8831d53956b2ae
Added to database: 08/05/2026, 19:12:03 UTC
Last enriched: 08/13/2026, 16:53:22 UTC
Last updated: 09/17/2026, 22:01:39 UTC
Views: 62
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