LangChain Prompt Loader LFI via Config Deserialization <1.2.22
CVE-2026-34070 Published on March 31, 2026

LangChain Core has Path Traversal vulnerabilites in legacy `load_prompt` functions
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.

NVD

Vulnerability Analysis

CVE-2026-34070 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. An automatable proof of concept (POC) exploit exists. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Type

What is a Directory traversal Vulnerability?

The software uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the software does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

CVE-2026-34070 has been classified to as a Directory traversal vulnerability or weakness.


Products Associated with CVE-2026-34070

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2026-34070 are published in these products:

Langchain Ai Langchain
 
Red Hat Ansible Automation Platform
 
Red Hat Openshift Lightspeed
 
Red Hat Openshift Ai
 

Affected Versions

langchain-ai langchain: Red Hat Ansible Automation Platform 2.5: Red Hat OpenShift AI 3.3: Red Hat OpenShift Lightspeed: Red Hat Ansible Automation Platform 2: Red Hat OpenShift AI (RHOAI):

Exploit Probability

EPSS
1.07%
Percentile
60.55%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.