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CVE-2026-34070

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.

CVSS 3.1 · 7.5 High EPSS 1.4% KEV · Not listed
Vendors
Langchain Langchain-ai
Products
Langchain Core Langchain
CVE-2026-26013

LangChain affected by SSRF via image_url token counting in ChatOpenAI.get_num_tokens_from_messages

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.

CVSS 3.1 · 3.7 Low EPSS < 1% KEV · Not listed
Vendors
Langchain Langchain-ai
Products
Langchain Core Langchain
CVE-2026-40087

LangChain has incomplete f-string validation in prompt templates

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.84 and 1.2.28, LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same attribute-access validation as PromptTemplate. In particular, DictPromptTemplate and ImagePromptTemplate could accept templates containing attribute access or indexing expressions and subsequently evaluate those expressions during formatting. Second, f-string validation based on parsed top-level field names did not reject nested replacement fields inside format specifiers. In this pattern, the nested replacement field appears in the format specifier rather than in the top-level field name. As a result, earlier validation based on parsed field names did not reject the template even though Python formatting would still attempt to resolve the nested expression at runtime. This vulnerability is fixed in 0.3.84 and 1.2.28.

CVSS 3.1 · 5.3 Medium EPSS < 1% KEV · Not listed
Vendors
Langchain Langchain-ai
Products
Langchain Core Langchain
CVE-2024-58340

LangChain <= 0.3.1 MRKLOutputParser ReDoS

LangChain versions up to and including 0.3.1 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.

CVSS 4.0 · 8.7 High EPSS < 1% KEV · Not listed
Vendors
Langchain Langchain-ai
Products
Langchain Langchain Core Langchain
CVE-2025-68664

LangChain serialization injection vulnerability enables secret extraction in dumps/loads APIs

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.

CVSS 3.1 · 9.3 Critical EPSS 42.9% KEV · Not listed
Vendors
Langchain Langchain-ai
Products
Langchain Core Langchain