9.1

CVE-2026-48776: langchain-ai Path Traversal

CVSS: 9.1v3.1CriticalAnalyzed
AliasesGHSA-w39p-vh2g-g8g5PYSEC-2026-2194PYSEC-2026-2575
Published 16-06-2026Last modified 17-06-2026

Vulnerability summary

CVE-2026-48776 is a critical (CVSS 9.1) Path Traversal vulnerability in langchain-ai. EPSS estimates a 0.29% chance of exploitation in the next 30 days, higher than 20.5% of scored vulnerabilities.

Overall risk
70/100
0100
High · default modelHow is this calculated?
CVSS score
9.1/10
010
Critical · v3.1 (NVD)
EPSS score
0.29%
0%100%
Low · +0.08 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Timeline

  1. 16-06-2026
    PublishedVulnerability first disclosed.
  2. 17-06-2026
    Last modifiedVulnerability information updated.

Description

LangGraph Python SDK is used to connect to running LangGraph API servers, manage assistants, threads and stream runs from Python applications. Versions 0.3.14 and prior have unsafe URL path construction through unsanitized caller-supplied identifier values used in HTTP request paths for resource operations. Without sanitization of those values, identifiers that contain characters with special meaning in URL paths could cause the resulting request to address a different resource (and potentially a different resource type) than the SDK method's call site indicates. In deployments where the SDK receives identifier values that originate from untrusted sources, this could result in unintended access, modification, or deletion of resources beyond the calling user's authorization scope. This issue is most consequential in deployments that forward end-user-supplied values directly into SDK identifier parameters without first validating them against an expected format (such as a UUID), and rely on URL-prefix-based authorization at an upstream layer (reverse proxy, edge gateway, WAF), where the authorization decision is made on the SDK call's intended path rather than on the final delivered request path. The issue has been fixed in version 0.3.15.

CVSS metrics

3 scores · 3 sources · 1 version

EPSS trend

Probability

0.29%

Chance of exploitation in the next 30 days

Percentile

21%

Versus all other CVEs

30-day change

+0.08 pp

From 0.22% on 19-09-2026

19-09-202619-10-2026
EPSS score
0.29%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

Langchain-ai2 products
PyPI2 products
  • langgraph< 0.3.15
  • langgraph-sdk< 0.3.15
Langchain1 product

3 vendors · 5 products

References

8 links