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CVE-2024-38459VulnerabilityPublished Updated

CVE-2024-38459: langchain-experimental · n/a

Affects langchain-experimentalSource CVE Database V5

0

Mentioned vulnerabilities

Not known to be exploited · CVSS 7.8 High : upgrade to 0.0.61 soon.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 13% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.0.61
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 16 Jun 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Upgrade langchain-experimental to 0.0.61.

Affected software

ProductAffectedFixed in
PyPIlangchain-experimentalpkg:pypi/langchain-experimentalOther threatsAffected
  • <0.0.61
Fixed in
  • 0.0.61

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Organizations should immediately upgrade LangChain Experimental to version 0.0.61 or later, where this vulnerability has been addressed. Until an upgrade is possible, restrict access to systems running vulnerable versions to trusted users only and enforce strict access controls to prevent unauthorized local access. Disable or restrict Python REPL features in LangChain configurations if possible. Implement monitoring and alerting for unusual Python execution or process behavior within LangChain environments. Conduct security awareness training to reduce the risk of social engineering attacks that could trigger user interaction exploitation. Review and harden permissions on LangChain-related files and directories to prevent unauthorized modification. Consider isolating LangChain workloads in sandboxed or containerized environments to limit the blast radius of potential exploitation. Maintain up-to-date backups and incident response plans to quickly recover from any compromise resulting from exploitation.

Description

langchain_experimental (aka LangChain Experimental) before 0.0.61 for LangChain provides Python REPL access without an opt-in step. NOTE; this issue exists because of an incomplete fix for CVE-2024-27444.

References

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