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langchain_core-0.1.23-py3-none-any.whl: 7 vulnerabilities (highest severity is: 9.3) #53

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langchain_core-0.1.23-py3-none-any.whl: 7 vulnerabilities (highest severity is: 9.3)#53
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Mend: dependency security vulnerabilitySecurity vulnerability detected by Mend
@mend-bolt-for-github

Description

@mend-bolt-for-github
mend-bolt-for-github
bot
opened on Mar 29, 2026
Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Vulnerabilities

Vulnerability Severity CVSS Dependency Type Fixed in (langchain_core version) Remediation Possible**
CVE-2025-68664 Critical 9.3 langchain_core-0.1.23-py3-none-any.whl Direct 0.3.81 ❌
CVE-2025-65106 High 8.2 langchain_core-0.1.23-py3-none-any.whl Direct 0.3.80 ❌
CVE-2024-28088 High 8.1 langchain_core-0.1.23-py3-none-any.whl Direct langchain - 0.1.12 ❌
CVE-2026-34070 High 7.5 langchain_core-0.1.23-py3-none-any.whl Direct https://github.com/langchain-ai/langchain.git - langchain-core==1.2.22,langchain-core - 1.2.22 ❌
CVE-2024-1455 Medium 5.9 langchain_core-0.1.23-py3-none-any.whl Direct langchain-core - 0.1.35 ❌
CVE-2024-10940 Medium 5.3 langchain_core-0.1.23-py3-none-any.whl Direct 0.1.53 ❌
CVE-2026-26013 Low 3.7 langchain_core-0.1.23-py3-none-any.whl Direct 1.2.11 ❌

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

Details

CVE-2025-68664

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

Found in base branch: main

Vulnerability Details

LangChain is a framework for building agents and LLM-powered applications. Prior to versions 0.3.81 and 1.2.5, a serialization injection vulnerability exists in LangChain's dumps() and dumpd() functions. The functions do not escape dictionaries with 'lc' keys when serializing free-form dictionaries. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in versions 0.3.81 and 1.2.5.

Publish Date: 2025-12-23

URL: CVE-2025-68664

CVSS 3 Score Details (9.3)

Base Score Metrics:

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

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-c67j-w6g6-q2cm

Release Date: 2025-12-23

Fix Resolution: 0.3.81

Step up your Open Source Security Game with Mend here

CVE-2025-65106

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

Found in base branch: main

Vulnerability Details

LangChain is a framework for building agents and LLM-powered applications. From versions 0.3.79 and prior and 1.0.0 to 1.0.6, a template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This vulnerability affects applications that accept untrusted template strings (not just template variables) in ChatPromptTemplate and related prompt template classes. This issue has been patched in versions 0.3.80 and 1.0.7.

Publish Date: 2025-11-21

URL: CVE-2025-65106

CVSS 3 Score Details (8.2)

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: Low
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-6qv9-48xg-fc7f

Release Date: 2025-11-20

Fix Resolution: 0.3.80

Step up your Open Source Security Game with Mend here

CVE-2024-28088

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

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: langchain - 0.1.12

Step up your Open Source Security Game with Mend here

CVE-2026-34070

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

Found in base branch: main

Vulnerability Details

LangChain is a framework for building agents and LLM-powered applications. Prior to version 1.2.22, multiple functions in langchain_core.prompts.loading read files from paths embedded in deserialized config dicts without validating against directory traversal or absolute path injection. When an application passes user-influenced prompt configurations to load_prompt() or load_prompt_from_config(), an attacker can read arbitrary files on the host filesystem, constrained only by file-extension checks (.txt for templates, .json/.yaml for examples). This issue has been patched in version 1.2.22.

Publish Date: 2026-03-31

URL: CVE-2026-34070

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: High
    • Integrity Impact: None
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Release Date: 2026-03-28

Fix Resolution: https://github.com/langchain-ai/langchain.git - langchain-core==1.2.22,langchain-core - 1.2.22

Step up your Open Source Security Game with Mend here

CVE-2024-1455

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

Found in base branch: main

Vulnerability Details

A vulnerability in the langchain-ai/langchain repository allows for a Billion Laughs Attack, a type of XML External Entity (XXE) exploitation. By nesting multiple layers of entities within an XML document, an attacker can cause the XML parser to consume excessive CPU and memory resources, leading to a denial of service (DoS).
Mend Note: The description of this vulnerability differs from MITRE.

Publish Date: 2024-03-26

URL: CVE-2024-1455

CVSS 3 Score Details (5.9)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • 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-q84m-rmw3-4382

Release Date: 2024-03-26

Fix Resolution: langchain-core - 0.1.35

Step up your Open Source Security Game with Mend here

CVE-2024-10940

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

Found in base branch: main

Vulnerability Details

A vulnerability in langchain-core versions >=0.1.17,<0.1.53, >=0.2.0,<0.2.43, and >=0.3.0,<0.3.15 allows unauthorized users to read arbitrary files from the host file system. The issue arises from the ability to create langchain_core.prompts.ImagePromptTemplate's (and by extension langchain_core.prompts.ChatPromptTemplate's) with input variables that can read any user-specified path from the server file system. If the outputs of these prompt templates are exposed to the user, either directly or through downstream model outputs, it can lead to the exposure of sensitive information.

Publish Date: 2025-03-20

URL: CVE-2024-10940

CVSS 3 Score Details (5.3)

Base Score Metrics:

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

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-5chr-fjjv-38qv

Release Date: 2025-03-20

Fix Resolution: 0.1.53

Step up your Open Source Security Game with Mend here

CVE-2026-26013

Vulnerable Library - langchain_core-0.1.23-py3-none-any.whl

Building applications with LLMs through composability

Library home page: https://files.pythonhosted.org/packages/b1/e9/7e624fe4a7619821331ad2e943fbfc2eab7465cf97ee95158c435a276d3e/langchain_core-0.1.23-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_core-0.1.23-py3-none-any.whl

Dependency Hierarchy:

  • ❌ langchain_core-0.1.23-py3-none-any.whl (Vulnerable Library)

Found in base branch: main

Vulnerability Details

LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.get_num_tokens_from_messages() method fetches arbitrary image_url values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image URLs in user input. This vulnerability is fixed in 1.2.11.

Publish Date: 2026-02-10

URL: CVE-2026-26013

CVSS 3 Score Details (3.7)

Base Score Metrics:

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

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Release Date: 2026-02-10

Fix Resolution: 1.2.11

Step up your Open Source Security Game with Mend here

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