langflow-ai Langflow up to 1.10.2 Model Context Protocol access control
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.20+ |
Summary
A vulnerability classified as problematic has been found in langflow-ai Langflow up to 1.10.2. Impacted is an unknown function of the component Model Context Protocol. The manipulation leads to access control. This vulnerability is referenced as CVE-2026-105741. Remote exploitation of the attack is possible. No exploit is available. It is recommended to upgrade the affected component.
Details
A vulnerability was found in langflow-ai Langflow up to 1.10.2 and classified as problematic. This issue affects some unknown processing of the component Model Context Protocol. The manipulation with an unknown input leads to a access control vulnerability. Using CWE to declare the problem leads to CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. Impacted is integrity, and availability. The summary by CVE is:
Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.5.0 until 1.10.3, an IP spoofing vulnerability in the Model Context Protocol (MCP) configuration installation endpoint (POST /api/v1/mcp/project/{project_id}/install) allowed authenticated remote attackers to bypass the "local-only" access restriction. By sending a spoofed X-Forwarded-For: 127.0.0.1 header, an attacker could make the server treat the request as originating from localhost, letting them write/overwrite an MCP client configuration file on the server's filesystem. This vulnerability is fixed in 1.10.3.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-105741 since 10/05/2026. The exploitation is known to be easy. The attack may be initiated remotely. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1068 for this issue.
Upgrading to version 1.10.3 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.2VulDB Meta Temp Score: 6.1
VulDB Base Score: 5.4
VulDB Temp Score: 5.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.1
CNA Vector (GitHub_M): 🔒
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Access controlCWE: CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Langflow 1.10.3
Timeline
10/05/2026 Advisory disclosed10/05/2026 CVE reserved
10/05/2026 VulDB entry created
10/05/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-105741 (🔒)
GCVE (CVE): GCVE-0-2026-105741
GCVE (VulDB): GCVE-100-413825
Entry
Created: 10/05/2026 23:25Changes: 10/05/2026 23:25 (65)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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