LangSmith Client SDK: Public prompt pull deserializes untrusted manifests without trust boundary warning (langchain-ai langsmith-sdk)

CVE-2026-45134
HIGH 7.1

At a glance

Source
NVD
EPSS
EPSS 0.20 % · percentile 10 ()
State
PUBLISHED
Published
Updated
Assigner
GitHub_M
NVD status
Awaiting Analysis

Description

LangSmith Client SDKs provide SDK's for interacting with the LangSmith platform. Prior to LangSmith SDK Python 0.8.0 and JS/TS 0.6.0, the LangSmith SDK's prompt pull methods (pull_prompt / pull_prompt_commit in Python, pullPrompt / pullPromptCommit in JS/TS) fetch and deserialize prompt manifests from the LangSmith Hub. These manifests may contain serialized LangChain objects and model configuration that affect runtime behavior. When pulling a public prompt by owner/name identifier, the manifest content is controlled by an external party, but prior versions of the SDK did not distinguish this from pulling a prompt within the caller's own organization. This vulnerability is fixed in LangSmith SDK Python 0.8.0 and JS/TS 0.6.0.

Weaknesses (CWE)

  • CWE-502 — Deserialization of Untrusted Data

References

Scores

VersionScoreVectorScored by
CVSS 3.1HIGH 7.1CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:NGitHub_M
CVSS 3.1HIGH 7.1CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:NNVD · security-advisories@github.com (Secondary)

Advisories

European references

Affected products

ProductVersions
langchain-ai · langsmith-sdkaffected < 0.8.0 ; affected < 0.6.0

Sources

SourceLicence
CVE List (CVEProject cvelistV5)CVE Program Terms of Use
EPSS (FIRST.org)FIRST — attribution requested
ENISA EUVDENISA — reproduction authorised, source acknowledged
NVD (NIST) via fkie-cad/nvd-json-data-feedsPublic domain — this product uses data from the NVD API but is not endorsed or certified by the NVD