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 affects IBM Langflow OSS versions 1.0.0 through 1.10.3. The vulnerability arises from improper handling of large language model (LLM)-generated components during the Agentic Assistant validation. Specifically, the backend executes Python code generated by the model before user approval, enabling an authenticated attacker to trigger unintended side effects including outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process. This is classified as a code injection vulnerability (CWE-94).
Potential Impact
An authenticated attacker can exploit this vulnerability to execute arbitrary Python code on the backend server with the privileges of the Langflow process. This could lead to unauthorized outbound network communications, unauthorized file system access or modification, and potential data exfiltration. The vulnerability has a CVSS v3.1 score of 8.1 (High), indicating a significant risk to confidentiality and integrity without impacting availability.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a patch or official fix is available, restrict access to the Langflow backend to trusted authenticated users only and monitor for suspicious activity related to Agentic Assistant validation. Avoid running the vulnerable versions in untrusted environments.
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
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-9196 affects IBM Langflow OSS versions 1.0.0 through 1.10.3. The vulnerability arises from improper handling of large language model (LLM)-generated components during the Agentic Assistant validation. Specifically, the backend executes Python code generated by the model before user approval, enabling an authenticated attacker to trigger unintended side effects including outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process. This is classified as a code injection vulnerability (CWE-94).
Potential Impact
An authenticated attacker can exploit this vulnerability to execute arbitrary Python code on the backend server with the privileges of the Langflow process. This could lead to unauthorized outbound network communications, unauthorized file system access or modification, and potential data exfiltration. The vulnerability has a CVSS v3.1 score of 8.1 (High), indicating a significant risk to confidentiality and integrity without impacting availability.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a patch or official fix is available, restrict access to the Langflow backend to trusted authenticated users only and monitor for suspicious activity related to Agentic Assistant validation. Avoid running the vulnerable versions in untrusted environments.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-4q62-cj5w-qmfx
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-9196"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 3.1
Threat ID: 6a7573bdbf8831d539d9430c
Added to database: 08/07/2026, 05:57:17 UTC
Last enriched: 08/07/2026, 06:26:38 UTC
Last updated: 08/08/2026, 03:40:59 UTC
Views: 3
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