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CVE-2026-109440: Improper Neutralization of Input Used for LLM Prompting in ginlix-ai LangAlpha

0
High
VulnerabilityCVE-2026-109440cvecve-2026-109440
Published: 10/20/2026 (10/20/2026, 00:46:05 UTC)
Source: CVE Database V5
Vendor/Project: ginlix-ai
Product: LangAlpha

Description

LangAlpha through 2026.09.07 contains an indirect prompt injection vulnerability that allows remote attackers to execute shell commands or Python by planting instructions in web content retrieved by the agent. Because Bash and ExecuteCode lack an allow-list and human-in-the-loop approval, attackers can run code in the workspace sandbox and exfiltrate vault secrets from _internal/.vault_secrets.json.

CVSS v4.0

Score 8.6high

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
None
User Interaction
Passive
Vuln. Confidentiality
High
Vuln. Integrity
High
Vuln. Availability
None
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N

Affected software

ginlix-ai

LangAlpha

Affected versions
>=0 <=2026.09.07
GitHub Actionsmore threats →cve
LangAlpha
pkg:github/LangAlpha
Affected versions
>=0 <=2026.09.07

Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.

Technical Details

Data Version
5.2
Assigner Short Name
VulnCheck
Date Reserved
2026-10-12T15:52:36.683Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6ad6c1952cdf04f656e4955e

Added to database: 10/20/2026, 01:19:17 UTC

Last updated: 10/20/2026, 01:19:17 UTC

Views: 1

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