CVE-2026-44843

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.85 and 1.3.3, LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments. This vulnerability is fixed in 0.3.85 and 1.3.3.

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.85 and 1.3.3, LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments. This vulnerability is fixed in 0.3.85 and 1.3.3.

LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments.

Applications are exposed only when all of the following are true:

1. The application accepts untrusted structured input, such as JSON, from a user or network request.
2. The application does not validate or canonicalize that input into an inert schema before invoking LangChain.
3. Attacker-controlled nested dictionaries or lists are preserved in LangChain run inputs or outputs.
4. The application uses an affected API path that later deserializes that run data.

Known affected runtime surfaces include:

• RunnableWithMessageHistory
• astream_log()
• astream_events(version="v1")

Related unsafe deserialization patterns may also affect applications that explicitly load serialized LangChain prompt or runnable objects from untrusted sources, including shared prompt stores, Hub artifacts with model configuration, or other application-controlled serialization stores.

Applications that validate incoming requests against a fixed schema, such as coercing user input to a plain string or message-content field before invoking LangChain, are unlikely to expose this deserialization primitive.

This release also fixes a related secret-marker validation bypass in the serialization and deserialization layer (_is_lc_secret). That issue creates an additional path by which attacker-controlled constructor dictionaries can avoid escaping during dumps() -> loads() round-trips and reach LangChain object revival logic.

Impact

An attacker who can submit untrusted structured input to an affected application, and have that structure preserved in LangChain run data, may be able to inject LangChain serialized constructor payloads such as:

{
  "lc": 1,
  "type": "constructor",
  "id": ["langchain_core", "messages", "ai", "AIMessage"],
  "kwargs": {"content": "attacker-controlled content"}
}

If this payload reaches a broad load() call, LangChain may instantiate the referenced class instead of treating the payload as inert user data.

Realistic impacts include:

• Persistent chat-history poisoning when revived AIMessage, HumanMessage, or SystemMessage objects are stored by RunnableWithMessageHistory.
• Prompt injection or behavior manipulation if attacker-controlled messages are later included in model context.
• Instantiation of unexpected trusted LangChain objects with attacker-controlled constructor arguments.
• Possible credential disclosure or server-side requests if a reachable object reads environment credentials, creates clients, or contacts attacker-controlled endpoints during initialization.
• Additional prompt-template or runnable-configuration impacts in applications that separately load and execute untrusted serialized LangChain objects.

Remediation

LangChain will deprecate the affected APIs as part of this fix:

• RunnableWithMessageHistory
• astream_log()
• astream_events(version="v1")

These are older code paths that are no longer recommended for new applications. They were not previously marked as deprecated, but recent LangChain documentation has primarily directed users toward newer streaming and memory patterns, including the stream API. Applications should migrate to the currently recommended APIs rather than continue depending on these older surfaces.

Separately, LangChain will update load() and loads() to tighten deserialization behavior so broad object revival is not applied implicitly to untrusted or…

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.85 and 1.3.3, LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments. This vulnerability is fixed in 0.3.85 and 1.3.3.

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.85 and 1.3.3, LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments. This vulnerability is fixed in 0.3.85 and 1.3.3.

LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments.

Applications are exposed only when all of the following are true:

1. The application accepts untrusted structured input, such as JSON, from a user or network request.
2. The application does not validate or canonicalize that input into an inert schema before invoking LangChain.
3. Attacker-controlled nested dictionaries or lists are preserved in LangChain run inputs or outputs.
4. The application uses an affected API path that later deserializes that run data.

Known affected runtime surfaces include:

• RunnableWithMessageHistory
• astream_log()
• astream_events(version="v1")

Related unsafe deserialization patterns may also affect applications that explicitly load serialized LangChain prompt or runnable objects from untrusted sources, including shared prompt stores, Hub artifacts with model configuration, or other application-controlled serialization stores.

Applications that validate incoming requests against a fixed schema, such as coercing user input to a plain string or message-content field before invoking LangChain, are unlikely to expose this deserialization primitive.

This release also fixes a related secret-marker validation bypass in the serialization and deserialization layer (_is_lc_secret). That issue creates an additional path by which attacker-controlled constructor dictionaries can avoid escaping during dumps() -> loads() round-trips and reach LangChain object revival logic.

Impact

An attacker who can submit untrusted structured input to an affected application, and have that structure preserved in LangChain run data, may be able to inject LangChain serialized constructor payloads such as:

{
  "lc": 1,
  "type": "constructor",
  "id": ["langchain_core", "messages", "ai", "AIMessage"],
  "kwargs": {"content": "attacker-controlled content"}
}

If this payload reaches a broad load() call, LangChain may instantiate the referenced class instead of treating the payload as inert user data.

Realistic impacts include:

• Persistent chat-history poisoning when revived AIMessage, HumanMessage, or SystemMessage objects are stored by RunnableWithMessageHistory.
• Prompt injection or behavior manipulation if attacker-controlled messages are later included in model context.
• Instantiation of unexpected trusted LangChain objects with attacker-controlled constructor arguments.
• Possible credential disclosure or server-side requests if a reachable object reads environment credentials, creates clients, or contacts attacker-controlled endpoints during initialization.
• Additional prompt-template or runnable-configuration impacts in applications that separately load and execute untrusted serialized LangChain objects.

Remediation

LangChain will deprecate the affected APIs as part of this fix:

• RunnableWithMessageHistory
• astream_log()
• astream_events(version="v1")

These are older code paths that are no longer recommended for new applications. They were not previously marked as deprecated, but recent LangChain documentation has primarily directed users toward newer streaming and memory patterns, including the stream API. Applications should migrate to the currently recommended APIs rather than continue depending on these older surfaces.

Separately, LangChain will update load() and loads() to tighten deserialization behavior so broad object revival is not applied implicitly to untrusted or…

LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments.

Applications are exposed only when all of the following are true:

1. The application accepts untrusted structured input, such as JSON, from a user or network request.
2. The application does not validate or canonicalize that input into an inert schema before invoking LangChain.
3. Attacker-controlled nested dictionaries or lists are preserved in LangChain run inputs or outputs.
4. The application uses an affected API path that later deserializes that run data.

Known affected runtime surfaces include:

• RunnableWithMessageHistory
• astream_log()
• astream_events(version="v1")

Related unsafe deserialization patterns may also affect applications that explicitly load serialized LangChain prompt or runnable objects from untrusted sources, including shared prompt stores, Hub artifacts with model configuration, or other application-controlled serialization stores.

Applications that validate incoming requests against a fixed schema, such as coercing user input to a plain string or message-content field before invoking LangChain, are unlikely to expose this deserialization primitive.

This release also fixes a related secret-marker validation bypass in the serialization and deserialization layer (_is_lc_secret). That issue creates an additional path by which attacker-controlled constructor dictionaries can avoid escaping during dumps() -> loads() round-trips and reach LangChain object revival logic.

Impact

An attacker who can submit untrusted structured input to an affected application, and have that structure preserved in LangChain run data, may be able to inject LangChain serialized constructor payloads such as:

{
  "lc": 1,
  "type": "constructor",
  "id": ["langchain_core", "messages", "ai", "AIMessage"],
  "kwargs": {"content": "attacker-controlled content"}
}

If this payload reaches a broad load() call, LangChain may instantiate the referenced class instead of treating the payload as inert user data.

Realistic impacts include:

• Persistent chat-history poisoning when revived AIMessage, HumanMessage, or SystemMessage objects are stored by RunnableWithMessageHistory.
• Prompt injection or behavior manipulation if attacker-controlled messages are later included in model context.
• Instantiation of unexpected trusted LangChain objects with attacker-controlled constructor arguments.
• Possible credential disclosure or server-side requests if a reachable object reads environment credentials, creates clients, or contacts attacker-controlled endpoints during initialization.
• Additional prompt-template or runnable-configuration impacts in applications that separately load and execute untrusted serialized LangChain objects.

Remediation

LangChain will deprecate the affected APIs as part of this fix:

• RunnableWithMessageHistory
• astream_log()
• astream_events(version="v1")

These are older code paths that are no longer recommended for new applications. They were not previously marked as deprecated, but recent LangChain documentation has primarily directed users toward newer streaming and memory patterns, including the stream API. Applications should migrate to the currently recommended APIs rather than continue depending on these older surfaces.

Separately, LangChain will update load() and loads() to tighten deserialization behavior so broad object revival is not applied implicitly to untrusted or…

TuxCare rebuilt langchain-core to address 1 CVE. Fixed in 0.3.83.post2+tuxcare.

Root has patched CVE-2026-44843 in the langchain-core package for Root:PyPI. Multiple fixed versions available.