GHSA-hhxr-7j22-694r: Duplicate Advisory Prompt Injection Vulnerability
LOWGHSA-hhxr-7j22-694r is a LOW (CVSS 6.3) prompt injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')) affecting Duplicate Advisory libraries in the PyPI ecosystem. The issue involves prompt injection in langflow smart transform can lead to code execution. Remediation is available in the latest vendor maintenance releases.
GHSA-hhxr-7j22-694r at a Glance
Security Impact
CVSS: 6.3
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L).
How to Fix GHSA-hhxr-7j22-694r
To remediate this vulnerability, upgrade all affected Duplicate Advisory dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install langflow>=Latest secure release
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show langflow
How to Check if You Are Affected
To determine whether your Python environment is affected by GHSA-hhxr-7j22-694r, inspect your installed packages using pip:
pip show langflow
Analyze the terminal output to locate any version of Duplicate Advisory in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.
Note: The pip show langflow command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection'), where the product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. In Duplicate Advisory, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
GHSA-hhxr-7j22-694r Affected Duplicate Advisory Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
langflow
|
PyPI |
≥ 1.3.0
|
|
References
Frequently Asked Questions
What is GHSA-hhxr-7j22-694r?
Which Duplicate Advisory versions are affected?
What version fixes GHSA-hhxr-7j22-694r?
Is langflow affected?
What is the CVSS score of GHSA-hhxr-7j22-694r?
What CWE is associated with GHSA-hhxr-7j22-694r?
How can I check PyPI dependencies for GHSA-hhxr-7j22-694r?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-hhxr-7j22-694r",
"modified" : "2026-10-05T22:30:20Z",
"published" : "2026-05-03T15:30:29Z",
"withdrawn" : "2026-10-05T22:30:20Z",
"aliases" : [ ],
"summary" : "Duplicate Advisory: Prompt injection in Langflow Smart Transform can lead to code execution",
"details" : "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of GHSA-9fpm-3445-2vx4. This link is maintained to preserve external references.\n\n## Original Description\nA weakness has been identified in langflow-ai langflow up to 1.8.4. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.p of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L"
}, {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "langflow"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "1.3.0"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "< 1.10.3"
}
} ],
"references" : [ {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-7700"
}, {
"type" : "WEB",
"url" : "https://vuldb.com/submit/804305"
}, {
"type" : "WEB",
"url" : "https://vuldb.com/vuln/360869"
}, {
"type" : "WEB",
"url" : "https://vuldb.com/vuln/360869/cti"
}, {
"type" : "WEB",
"url" : "https://www.yuque.com/mengnanbulalei/ognlsk/hte2a98ro5gf8tp9?singleDoc#%20%E3%80%8AFirst%20release%20of%20Langflow%201.8.3%20Smart%20Transform%20eval()/Lambda%20injection%20RCE%20vulnerability%20analysis+POC%E3%80%8B"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-74" ],
"severity" : "LOW",
"github_reviewed" : true,
"github_reviewed_at" : "2026-10-05T22:30:20Z",
"nvd_published_at" : "2026-05-03T15:15:59Z"
}
}