Update dependency langchain to v1 [SECURITY] - #103
Open
renovate[bot] wants to merge 1 commit into
Open
Conversation
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
2 times, most recently
from
September 20, 2024 12:25
5ba5f7d to
35e2c12
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
3 times, most recently
from
November 4, 2024 17:15
c91ca4b to
89cd213
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
August 10, 2025 13:04
89cd213 to
cebc720
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
August 19, 2025 13:49
cebc720 to
b5bca4c
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
November 19, 2025 00:35
b5bca4c to
b6d89e6
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
February 2, 2026 15:06
b6d89e6 to
8541669
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
March 19, 2026 14:13
8541669 to
84999ad
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
2 times, most recently
from
March 30, 2026 17:58
84999ad to
0cc63c6
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
April 28, 2026 04:39
0cc63c6 to
bb2300f
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
July 21, 2026 01:41
bb2300f to
c5e0705
Compare
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
from
August 26, 2026 17:04
c5e0705 to
9767865
Compare
Contributor
Author
|
renovate
Bot
force-pushed
the
renovate/pypi-langchain-vulnerability
branch
2 times, most recently
from
September 4, 2026 20:30
9767865 to
654f45a
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR contains the following updates:
^0.0.144→^1.0.0langchain Code Injection vulnerability
CVE-2023-36095 / GHSA-gwqq-6vq7-5j86
More information
Details
An issue in Harrison Chase langchain allows an attacker to execute arbitrary code via the PALChain,from_math_prompt(llm).run in the python exec method.
Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangChain vulnerable to arbitrary code execution
CVE-2023-38896 / GHSA-92j5-3459-qgp4
More information
Details
An issue in Harrison Chase langchain before version 0.0.236 allows a remote attacker to execute arbitrary code via the
from_math_promptandfrom_colored_object_promptfunctions.Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Langchain OS Command Injection vulnerability
CVE-2023-34540 / GHSA-x32c-59v5-h7fg
More information
Details
Langchain before v0.0.225 was discovered to contain a remote code execution (RCE) vulnerability in the component JiraAPIWrapper (aka the JIRA API wrapper). This vulnerability allows attackers to execute arbitrary code via crafted input. As noted in the "releases/tag" reference, a fix is available.
Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Langchain vulnerable to arbitrary code execution via the evaluate function in the numexpr library
CVE-2023-39631 / GHSA-f73w-4m7g-ch9x
More information
Details
An issue in LanChain-ai Langchain v.0.0.245 allows a remote attacker to execute arbitrary code via the evaluate function in the numexpr library.
Patches: Released in v.0.0.308. numexpr dependency is optional for langchain.
Severity
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
langchain vulnerable to arbitrary code execution
CVE-2023-36281 / GHSA-7gfq-f96f-g85j
More information
Details
An issue in langchain v.0.0.171 allows a remote attacker to execute arbitrary code via the via the a json file to the
load_promptparameter. This is related to__subclasses__or a template.Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
langchain arbitrary code execution vulnerability
CVE-2023-36258 / GHSA-2qmj-7962-cjq8
More information
Details
An issue in langchain allows an attacker to execute arbitrary code via the PALChain in the python exec method.
Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Langchain vulnerable to arbitrary code execution
CVE-2023-34541 / GHSA-6643-h7h5-x9wh
More information
Details
Langchain 0.0.171 is vulnerable to Arbitrary code execution in
load_prompt.Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangChain Server Side Request Forgery vulnerability
CVE-2023-46229 / GHSA-655w-fm8m-m478
More information
Details
LangChain before 0.0.317 allows SSRF via
document_loaders/recursive_url_loader.pybecause crawling can proceed from an external server to an internal server.Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangChain vulnerable to arbitrary code execution
CVE-2023-39659 / GHSA-prgp-w7vf-ch62
More information
Details
An issue in langchain langchain-ai before version 0.0.325 allows a remote attacker to execute arbitrary code via a crafted script to the PythonAstREPLTool._run component.
Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Langchain Server-Side Request Forgery vulnerability
CVE-2023-32786 / GHSA-6h8p-4hx9-w66c
More information
Details
In Langchain before 0.0.329, prompt injection allows an attacker to force the service to retrieve data from an arbitrary URL, essentially providing SSRF and potentially injecting content into downstream tasks.
Severity
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
langchain Server-Side Request Forgery vulnerability
CVE-2024-0243 / GHSA-h9j7-5xvc-qhg5
More information
Details
With the following crawler configuration:
An attacker in control of the contents of
https://example.comcould place a malicious HTML file in there with links like "https://example.completely.different/my_file.html" and the crawler would proceed to download that file as well even thoughprevent_outside=True.https://github.com/langchain-ai/langchain/blob/bf0b3cc0b5ade1fb95a5b1b6fa260e99064c2e22/libs/community/langchain_community/document_loaders/recursive_url_loader.py#L51-L51
Resolved in https://github.com/langchain-ai/langchain/pull/15559
Severity
CVSS:3.0/AV:L/AC:H/PR:H/UI:R/S:C/C:L/I:L/A:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangChain directory traversal vulnerability
CVE-2024-28088 / GHSA-h59x-p739-982c
More information
Details
LangChain through 0.1.10 allows ../ directory traversal by an actor who is able to control the final part of the path parameter in a load_chain call. This bypasses the intended behavior of loading configurations only from the hwchase17/langchain-hub GitHub repository. The outcome can be disclosure of an API key for a large language model online service, or remote code execution.
Severity
Low
References
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
langchain vulnerable to path traversal
CVE-2024-3571 / GHSA-rgp8-pm28-3759
More information
Details
langchain-ai/langchain is vulnerable to path traversal due to improper limitation of a pathname to a restricted directory ('Path Traversal') in its LocalFileStore functionality. An attacker can leverage this vulnerability to read or write files anywhere on the filesystem, potentially leading to information disclosure or remote code execution. The issue lies in the handling of file paths in the mset and mget methods, where user-supplied input is not adequately sanitized, allowing directory traversal sequences to reach unintended directories.
Severity
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangChain vulnerable to arbitrary code execution
CVE-2023-38860 / GHSA-fj32-q626-pjjc
More information
Details
An issue in LangChain prior to v.0.0.247 allows a remote attacker to execute arbitrary code via the prompt parameter.
Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
langchain SQL Injection vulnerability
CVE-2023-36189 / GHSA-7q94-qpjr-xpgm
More information
Details
SQL injection vulnerability in langchain allows a remote attacker to obtain sensitive information via the SQLDatabaseChain component.
Severity
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Denial of service in langchain-community
CVE-2024-2965 / GHSA-3hjh-jh2h-vrg6
More information
Details
Denial of service in
SitemapLoaderDocument Loader in thelangchain-communitypackage, affecting versions below 0.2.5. Theparse_sitemapmethod, responsible for parsing sitemaps and extracting URLs, lacks a mechanism to prevent infinite recursion when a sitemap URL refers to the current sitemap itself. This oversight allows for the possibility of an infinite loop, leading to a crash by exceeding the maximum recursion depth in Python. This vulnerability can be exploited to occupy server socket/port resources and crash the Python process, impacting the availability of services relying on this functionality.Severity
CVSS:3.0/AV:P/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:HReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Langchain SQL Injection vulnerability
CVE-2024-8309 / GHSA-45pg-36p6-83v9
More information
Details
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database.
Severity
CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Langchain SQL Injection vulnerability
CVE-2023-32785 / GHSA-8h5w-f6q9-wg35
More information
Details
In Langchain before 0.0.247, prompt injection allows execution of arbitrary code against the SQL service provided by the chain.
Severity
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangSmith SDK: Public prompt pull deserializes untrusted manifests without trust boundary warning
CVE-2026-45134 / GHSA-3644-q5cj-c5c7
More information
Details
Description
The LangSmith SDK's prompt pull methods (
pull_prompt/pull_prompt_commitin Python,pullPrompt/pullPromptCommitin 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 byowner/nameidentifier, 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.Prompt manifests can intentionally configure a model with a custom base URL, default headers, model name, or other constructor arguments. These are supported features, but they also mean the prompt contents should be treated as executable configuration rather than plain text. A prompt can also include serialized LangChain
RunnableorPromptTemplateobjects with attacker-controlled constructor kwargs, or secret references that, ifsecrets_from_envis enabled, read environment variables at deserialization time.Applications are exposed when all of the following are true:
pull_promptorpull_prompt_commit(Python) orpullPromptorpullPromptCommit(JS/TS) with a publicowner/nameprompt identifier.Applications that only pull prompts from their own organization (referenced by name only, without an
owner/prefix) are not affected by the public prompt trust boundary issue described above. However, same-organization prompts carry their own risk. If an attacker gains write access to the organization (for example, through a leakedLANGSMITH_API_KEYor a compromised team member account), they can push a malicious prompt that is pulled and deserialized without any additional warning.Impact
An attacker who publishes a malicious prompt to LangSmith Hub may be able to affect applications that pull that prompt by
owner/name. If the prompt manifest reaches the SDK's deserialization path, the SDK will instantiate the referenced LangChain objects with the attacker-supplied constructor arguments rather than treating the manifest as inert data.Realistic impacts include:
base_url, proxy, or equivalent endpoint-setting parameter. In typical deployments, redirected requests may include prompt contents, system prompts, retrieved context, model parameters, provider credentials, or other secrets and may disclose them to the attacker-controlled endpoint.include_model=Trueis passed, because this expands the allowlist to partner integration classes. This is not the default, but it materially increases risk when pulling prompts from outside the caller's organization.Remediation
The LangSmith SDK now blocks pulling public prompts by
owner/nameby default. Callers must explicitly opt in by passingdangerously_pull_public_prompt=True(Python) ordangerouslyPullPublicPrompt: true(JS/TS) to acknowledge the trust boundary. This flag should only be set after reviewing and trusting the prompt contents, not merely the publishing account.Upgrade to LangSmith SDK Python >= 0.8.0 or JS/TS >= 0.6.0.
Guidance for prompt pull methods
The prompt pull methods (
pull_prompt/pull_prompt_commitin Python,pullPrompt/pullPromptCommitin JS/TS) should be used only with trusted prompts. Do not pull public prompts byowner/namefrom untrusted or unreviewed sources without understanding that the manifest contents will be deserialized and may affect runtime behavior.When pulling prompts that include model configuration (
include_model=Truein Python,includeModel: truein JS/TS), the deserialization allowlist expands to include partner integration classes. Because this mode is not the default and is often unnecessary for third-party prompts, prefer the default (false) when pulling prompts from sources outside your organization.Avoid passing
secrets_from_env=True(Python) when pulling untrusted prompts. This parameter allows prompt manifests to read environment variables during deserialization. Only use it with trusted prompts from your own organization.Same-organization prompts
Prompts pulled from the caller's own organization (referenced by name only, without an
owner/prefix) are not gated by the newdangerously_pull_public_promptflag, but they are not inherently safe. If an attacker gains write access to the organization (for example, through a leakedLANGSMITH_API_KEYor a compromised team member account), they can push a malicious prompt that redirects LLM traffic to attacker-controlled infrastructure and may disclose any credentials attached to those requests.The security of same-organization prompts follows a shared responsibility model. The LangSmith SDK enforces trust boundaries for public prompts pulled from external accounts, but it cannot protect against compromised credentials or accounts within the caller's own organization. Securing API keys, managing team member access, and reviewing prompt contents before production deployment are the responsibility of the organization. Organizations should treat prompts as executable configuration and apply the same review and audit practices they would apply to application code.
Credits
First reported by @Moaaz-0x.
Severity
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
LangChain: Path traversal and sandbox escape in LangChain file-search middleware and loaders
CVE-2026-55443 / GHSA-gr75-jv2w-4656
More information
Details
Summary
Several LangChain components that resolve filesystem paths or expand search patterns do not consistently confine the resolved path to the intended root directory. Affected behaviors include: a file-search agent middleware that validates a starting directory but not the search pattern or the resolved target of matched files, so glob patterns and symlinks can reach files outside the configured root; prompt- and chain/agent-configuration loaders that accept path fields and resolve them without confining the result to a trusted base or rejecting symlink targets; and path-prefix authorization checks that compare by string prefix without a path-segment boundary, so a sibling path sharing the prefix is accepted. When these components receive path values, search patterns, or workspace contents influenced by an untrusted source — including an LLM acting on untrusted input — the result can be disclosure of files outside the intended boundary. We have no evidence of this behavior being triggered in the wild.
Affected users / systems
You may be affected if you expose an agent with filesystem-search middleware over a directory and accept prompts or retrieved content influenced by untrusted sources; load prompt or chain/agent configuration from untrusted or shared sources; or rely on path-prefix restrictions to confine tool file access. Callers that confine these components to fully trusted inputs and first-party configuration are not affected.
Impact
Patches / mitigation
The affected components will canonicalize candidate paths (resolving symlinks) and verify the resolved real path remains within the configured root before reading or returning it; search patterns will be normalized so they cannot escape the root; configuration loaders will confine resolved path fields and reject symlink escapes unless the caller explicitly opts in to dangerous loading; and path-prefix checks will enforce a path-segment boundary. Path validation will be made operating-system-portable.
Compatibility
Callers that already pass only in-root paths, validated configuration, and trusted search inputs see no behavioral change. Callers that intentionally reference external paths can opt in via the existing dangerous-loading flag.
Operational guidance
Confine filesystem-backed agent tools to a dedicated directory and prefer running them sandboxed/containerized; validate path and identifier inputs where untrusted input enters; do not enable dangerous loading for configuration whose origin you do not control.
LangSmith / hosted deployments note
This issue concerns library components executed by agents.
Severity
CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:NReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
langchain vulnerable to arbitrary code execution
CVE-2023-36188 / GHSA-57fc-8q82-gfp3
More information
Details
An issue in langchain allows a remote attacker to execute arbitrary code via the PALChain parameter in the Python exec method.
Severity
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HReferences
This data is provided by the GitHub Advisory Database (CC-BY 4.0).
Release Notes
langchain-ai/langchain (langchain)
v1.3.9v1.3.8v1.3.7v1.3.6v1.3.4v1.3.2v1.3.1v1.3.0v1.2.18v1.2.17v1.2.16v1.2.15v1.2.14v1.2.13v1.2.12v1.2.11v1.2.10v1.2.9v1.2.8v1.2.7v1.2.6v1.2.4v1.2.3v1.2.2v1.2.1v1.2.0v1.1.3v1.1.2v1.1.1v1.1.0v1.0.8v1.0.7v1.0.6v1.0.5v1.0.4v1.0.3v1.0.2v1.0.0v0.3.27v0.3.26v0.3.25v0.3.24v0.3.23v0.3.22v0.3.21v0.3.20v0.3.19v0.3.18v0.1.16Compare Source
What's Changed
Configuration
📅 Schedule: (UTC)
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
This PR was generated by Mend Renovate. View the repository job log.