Skip to content

langchain-0.0.350-py3-none-any.whl: 9 vulnerabilities (highest severity is: 9.8) #54

@mend-bolt-for-github

Description

@mend-bolt-for-github
Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Vulnerabilities

Vulnerability Severity CVSS Dependency Type Fixed in (langchain version) Remediation Possible**
CVE-2024-27444 Critical 9.8 langchain-0.0.350-py3-none-any.whl Direct 0.1.8
CVE-2024-28088 High 8.1 langchain-0.0.350-py3-none-any.whl Direct 0.1.12
CVE-2024-0243 High 8.1 langchain-0.0.350-py3-none-any.whl Direct 0.1.0
CVE-2024-3095 High 7.7 langchain-0.0.350-py3-none-any.whl Direct 0.1.6
CVE-2024-58340 High 7.5 langchain-0.0.350-py3-none-any.whl Direct https://github.com/langchain-ai/langchain.git - langchain-classic==1.0.2,langchain-classic - 1.0.2
CVE-2024-3571 Medium 6.5 langchain-0.0.350-py3-none-any.whl Direct 0.0.353
CVE-2024-2057 Medium 6.3 langchain-0.0.350-py3-none-any.whl Direct 0.1.12
CVE-2024-7042 Medium 4.9 langchain-0.0.350-py3-none-any.whl Direct @langchain/community - 0.3.3
CVE-2024-2965 Medium 4.2 langchain-0.0.350-py3-none-any.whl Direct 0.2.5

**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation

Details

CVE-2024-27444

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

langchain_experimental (aka LangChain Experimental) in LangChain before 0.1.8 allows an attacker to bypass the CVE-2023-44467 fix and execute arbitrary code via the import, subclasses, builtins, globals, getattribute, bases, mro, or base attribute in Python code. These are not prohibited by pal_chain/base.py.
Mend Note: The description of this vulnerability differs from MITRE.

Publish Date: 2024-02-26

URL: CVE-2024-27444

CVSS 3 Score Details (9.8)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: High
    • Integrity Impact: High
    • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-27444

Release Date: 2024-02-26

Fix Resolution: 0.1.8

Step up your Open Source Security Game with Mend here

CVE-2024-28088

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability 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. (A patch is available as of release 0.1.29 of langchain-core.)

Publish Date: 2024-03-03

URL: CVE-2024-28088

CVSS 3 Score Details (8.1)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: High
    • Integrity Impact: High
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Release Date: 2024-03-03

Fix Resolution: 0.1.12

Step up your Open Source Security Game with Mend here

CVE-2024-0243

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

With the following crawler configuration:

from bs4 import BeautifulSoup as Soup

url = "https://example.com"
loader = RecursiveUrlLoader(
    url=url, max_depth=2, extractor=lambda x: Soup(x, "html.parser").text
)
docs = loader.load()

An attacker in control of the contents of https://example.com could 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 though prevent_outside=True.

https://github.com/langchain-ai/langchain/blob/bf0b3cc0b5ade1fb95a5b1b6fa260e99064c2e22/libs/community/langchain_community/document_loaders/recursive_url_loader.py#L51-L51

Resolved in langchain-ai/langchain#15559

Publish Date: 2024-02-24

URL: CVE-2024-0243

CVSS 3 Score Details (8.1)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: High
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: High
    • Integrity Impact: High
    • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Release Date: 2024-02-24

Fix Resolution: 0.1.0

Step up your Open Source Security Game with Mend here

CVE-2024-3095

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component of langchain-ai/langchain version 0.1.5. The vulnerability arises because the Web Research Retriever does not restrict requests to remote internet addresses, allowing it to reach local addresses. This flaw enables attackers to execute port scans, access local services, and in some scenarios, read instance metadata from cloud environments. The vulnerability is particularly concerning as it can be exploited to abuse the Web Explorer server as a proxy for web attacks on third parties and interact with servers in the local network, including reading their response data. This could potentially lead to arbitrary code execution, depending on the nature of the local services. The vulnerability is limited to GET requests, as POST requests are not possible, but the impact on confidentiality, integrity, and availability is significant due to the potential for stolen credentials and state-changing interactions with internal APIs.

Publish Date: 2024-06-06

URL: CVE-2024-3095

CVSS 3 Score Details (7.7)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Changed
  • Impact Metrics:
    • Confidentiality Impact: High
    • Integrity Impact: None
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-q25c-c977-4cmh

Release Date: 2024-06-06

Fix Resolution: 0.1.6

Step up your Open Source Security Game with Mend here

CVE-2024-58340

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

LangChain contain a regular expression denial-of-service (ReDoS) vulnerability in the MRKLOutputParser.parse() method (libs/langchain/langchain/agents/mrkl/output_parser.py). The parser applies a backtracking-prone regular expression when extracting tool actions from model output. An attacker who can supply or influence the parsed text (for example via prompt injection in downstream applications that pass LLM output directly into MRKLOutputParser.parse()) can trigger excessive CPU consumption by providing a crafted payload, causing significant parsing delays and a denial-of-service condition.
Mend Note: The description of this vulnerability differs from MITRE.

Publish Date: 2026-01-12

URL: CVE-2024-58340

CVSS 3 Score Details (7.5)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: None
    • Integrity Impact: None
    • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Release Date: 2026-01-12

Fix Resolution: https://github.com/langchain-ai/langchain.git - langchain-classic==1.0.2,langchain-classic - 1.0.2

Step up your Open Source Security Game with Mend here

CVE-2024-3571

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability 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.

Publish Date: 2024-04-16

URL: CVE-2024-3571

CVSS 3 Score Details (6.5)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: High
    • Integrity Impact: None
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-3571

Release Date: 2024-04-16

Fix Resolution: 0.0.353

Step up your Open Source Security Game with Mend here

CVE-2024-2057

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

A vulnerability was found in LangChain langchain_community 0.0.26. It has been classified as critical. Affected is the function load_local in the library libs/community/langchain_community/retrievers/tfidf.py of the component TFIDFRetriever. The manipulation leads to server-side request forgery. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 0.0.27 is able to address this issue. It is recommended to upgrade the affected component. The identifier of this vulnerability is VDB-255372.

Publish Date: 2024-03-01

URL: CVE-2024-2057

CVSS 3 Score Details (6.3)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: Low
    • Integrity Impact: Low
    • Availability Impact: Low

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Release Date: 2024-03-01

Fix Resolution: 0.1.12

Step up your Open Source Security Game with Mend here

CVE-2024-7042

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits 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.

Publish Date: 2024-10-29

URL: CVE-2024-7042

CVSS 3 Score Details (4.9)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Local
    • Attack Complexity: High
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: Low
    • Integrity Impact: Low
    • Availability Impact: Low

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-6m59-8fmv-m5f9

Release Date: 2024-10-29

Fix Resolution: @langchain/community - 0.3.3

Step up your Open Source Security Game with Mend here

CVE-2024-2965

Vulnerable Library - langchain-0.0.350-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/72/e1/5b6da1b7feba08791e6351c323b0a6f6f4c0d553bc2fd9a9d8c4872373df/langchain-0.0.350-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/4/langchain-0.0.350-py3-none-any.whl

Dependency Hierarchy:

  • langchain-0.0.350-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

A Denial-of-Service (DoS) vulnerability exists in the SitemapLoader class of the langchain-ai/langchain repository, affecting all versions. The parse_sitemap method, 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.

Publish Date: 2024-06-06

URL: CVE-2024-2965

CVSS 3 Score Details (4.2)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Physical
    • Attack Complexity: High
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: None
    • Integrity Impact: None
    • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-3hjh-jh2h-vrg6

Release Date: 2024-06-06

Fix Resolution: 0.2.5

Step up your Open Source Security Game with Mend here

Metadata

Metadata

Assignees

No one assigned

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions