7.7

CVE-2026-55253: langchain-ai langchain-mongodb

CVSS: 7.7v3.1HighAwaiting analysis
AliasesGHSA-533j-2v4q-mw5hPYSEC-2026-3859PYSEC-2026-3860
Published 14-09-2026Last modified 14-09-2026

Vulnerability summary

CVE-2026-55253 is a high (CVSS 7.7) vulnerability in langchain-ai langchain-mongodb. EPSS estimates a 0.53% chance of exploitation in the next 30 days, higher than 43.7% of scored vulnerabilities.

Overall risk
31/100
0100
Medium · default modelHow is this calculated?
CVSS score
7.7/10
010
High · v3.1 (CVE.org)
EPSS score
0.53%
0%100%
Low · +0.14 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Timeline

  1. 14-09-2026
    PublishedVulnerability first disclosed.
  2. 14-09-2026
    Last modifiedVulnerability information updated.

Description

LangChain MongoDB provides integrations between MongoDB, Atlas, LangChain, and LangGraph. Prior to langgraph-checkpoint-mongodb 0.3.0 and langgraph-store-mongodb 0.4.0, MongoDBSaver.list(), MongoDBSaver.alist(), and MongoDBStore.search() incorporate filter dictionaries into MongoDB queries without recursively rejecting keys prefixed with $. An authenticated caller who controls a filter argument through HTTP query parameters, request body fields, or agent tool arguments can inject MongoDB Query Language operators such as $regex or $where. In a multi-tenant deployment that uses the filter to enforce per-user or per-tenant isolation, injected operators can bypass intended equality filtering and expose other tenants' checkpoint or store data. Filters constructed entirely from trusted server-side values have lower practical risk. This issue is fixed in langgraph-checkpoint-mongodb 0.3.0 and langgraph-store-mongodb 0.4.0.

CVSS metrics

3 scores · 3 sources · 1 version

EPSS trend

Probability

0.53%

Chance of exploitation in the next 30 days

Percentile

44%

Versus all other CVEs

30-day change

+0.14 pp

From 0.39% on 19-09-2026

19-09-202619-10-2026
EPSS score
0.53%

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-ai3 products
PyPI2 products
  • langgraph-checkpoint-mongodb< 0.3.0
  • langgraph-store-mongodb< 0.4.0

2 vendors · 5 products

References

14 links
Show all 14 references