CVE-2024-1455

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).

CVSS v3 5.9 MEDIUM

5.9^/10

CVSS v3 : MEDIUM

V3 Legend

Vector : AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Exploitability : 2.2 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity HIGH

Privileges Required NONE

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3
https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6
https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3
https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6

Configurations

No configuration.

History

21 Nov 2024, 08:50

Type	Values Removed	Values Added
References	~~() https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3 -~~	() https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3 -
References	~~() https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6 -~~	() https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6 -

16 Apr 2024, 12:15

Type	Values Removed	Values Added
References		() https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3 -
Summary		(es) XMLOutputParser en LangChain utiliza el módulo etree del analizador XML en la biblioteca estándar de Python que tiene algunas vulnerabilidades XML; consulte: https://docs.python.org/3/library/xml.html Esto afecta principalmente a los usuarios que combinan un LLM (o agente) con `XMLOutputParser` y exponen el componente a través de un endpoint en un servicio web. Esto permitiría que una parte malintencionada intentara manipular el LLM para producir un payload malicioso para el analizador que comprometería la disponibilidad del servicio. Un ataque exitoso se basa en: 1. Uso de XMLOutputParser 2. Pasar entradas maliciosas al XMLOutputParser, ya sea directamente o intentando manipular un LLM para que lo haga en nombre del usuario 3. Exponer el componente a través de un servicio web
Summary	(en) The XMLOutputParser in LangChain uses the etree module from the XML parser in the standard python library which has some XML vulnerabilities; see: https://docs.python.org/3/library/xml.html This primarily affects users that combine an LLM (or agent) with the `XMLOutputParser` and expose the component via an endpoint on a web-service. This would allow a malicious party to attempt to manipulate the LLM to produce a malicious payload for the parser that would compromise the availability of the service. A successful attack is predicated on: 1. Usage of XMLOutputParser 2. Passing of malicious input into the XMLOutputParser either directly or by trying to manipulate an LLM to do so on the users behalf 3. Exposing the component via a web-service	(en) 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).

26 Mar 2024, 14:15

Type	Values Removed	Values Added
New CVE

Information

Published : 2024-03-26 14:15

Updated : 2024-11-21 08:50

NVD link : CVE-2024-1455

Mitre link : CVE-2024-1455

CVE.ORG link : CVE-2024-1455

JSON object : View

Products Affected

No product.

CWE

CWE-776

Improper Restriction of Recursive Entity References in DTDs ('XML Entity Expansion')

5.9 /10