cve-2024-1455
Vulnerability from cvelistv5
Published
2024-03-26 14:03
Modified
2024-08-15 15:56
Severity ?
EPSS score ?
Summary
Billion Laughs Attack leading to DoS in langchain-ai/langchain
References
Impacted products
▼ | Vendor | Product |
---|---|---|
langchain-ai | langchain-ai/langchain |
{ "containers": { "adp": [ { "providerMetadata": { "dateUpdated": "2024-08-01T18:40:21.288Z", "orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE" }, "references": [ { "tags": [ "x_transferred" ], "url": "https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6" }, { "tags": [ "x_transferred" ], "url": "https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3" } ], "title": "CVE Program Container" }, { "affected": [ { "cpes": [ "cpe:2.3:a:langchain-ai:langchain-ai\\/langchain:*:*:*:*:*:*:*:*" ], "defaultStatus": "unknown", "product": "langchain-ai\\/langchain", "vendor": "langchain-ai", "versions": [ { "lessThan": "0.1.35", "status": "affected", "version": "0", "versionType": "custom" } ] } ], "metrics": [ { "other": { "content": { "id": "CVE-2024-1455", "options": [ { "Exploitation": "poc" }, { "Automatable": "no" }, { "Technical Impact": "partial" } ], "role": "CISA Coordinator", "timestamp": "2024-08-15T15:55:06.717038Z", "version": "2.0.3" }, "type": "ssvc" } } ], "providerMetadata": { "dateUpdated": "2024-08-15T15:56:19.154Z", "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP" }, "title": "CISA ADP Vulnrichment" } ], "cna": { "affected": [ { "product": "langchain-ai/langchain", "vendor": "langchain-ai", "versions": [ { "lessThan": "0.1.35", "status": "affected", "version": "unspecified", "versionType": "custom" } ] } ], "descriptions": [ { "lang": "en", "value": "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). " } ], "metrics": [ { "cvssV3_0": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0" } } ], "problemTypes": [ { "descriptions": [ { "cweId": "CWE-776", "description": "CWE-776 Improper Restriction of Recursive Entity References in DTDs", "lang": "en", "type": "CWE" } ] } ], "providerMetadata": { "dateUpdated": "2024-04-16T11:10:22.131Z", "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai" }, "references": [ { "url": "https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6" }, { "url": "https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3" } ], "source": { "advisory": "4353571f-c70d-4bfd-ac08-3a89cecb45b6", "discovery": "EXTERNAL" }, "title": "Billion Laughs Attack leading to DoS in langchain-ai/langchain" } }, "cveMetadata": { "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "assignerShortName": "@huntr_ai", "cveId": "CVE-2024-1455", "datePublished": "2024-03-26T14:03:46.647Z", "dateReserved": "2024-02-12T16:51:50.188Z", "dateUpdated": "2024-08-15T15:56:19.154Z", "state": "PUBLISHED" }, "dataType": "CVE_RECORD", "dataVersion": "5.1", "meta": { "nvd": "{\"cve\":{\"id\":\"CVE-2024-1455\",\"sourceIdentifier\":\"security@huntr.dev\",\"published\":\"2024-03-26T14:15:08.450\",\"lastModified\":\"2024-04-16T12:15:09.230\",\"vulnStatus\":\"Awaiting Analysis\",\"descriptions\":[{\"lang\":\"en\",\"value\":\"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). \"},{\"lang\":\"es\",\"value\":\"XMLOutputParser en LangChain utiliza el m\u00f3dulo etree del analizador XML en la biblioteca est\u00e1ndar 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 trav\u00e9s de un endpoint en un servicio web. Esto permitir\u00eda que una parte malintencionada intentara manipular el LLM para producir un payload malicioso para el analizador que comprometer\u00eda 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 trav\u00e9s de un servicio web\"}],\"metrics\":{\"cvssMetricV30\":[{\"source\":\"security@huntr.dev\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\",\"baseScore\":5.9,\"baseSeverity\":\"MEDIUM\"},\"exploitabilityScore\":2.2,\"impactScore\":3.6}]},\"weaknesses\":[{\"source\":\"security@huntr.dev\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-776\"}]}],\"references\":[{\"url\":\"https://github.com/langchain-ai/langchain/commit/727d5023ce88e18e3074ef620a98137d26ff92a3\",\"source\":\"security@huntr.dev\"},{\"url\":\"https://huntr.com/bounties/4353571f-c70d-4bfd-ac08-3a89cecb45b6\",\"source\":\"security@huntr.dev\"}]}}" } }
Loading...
Loading...
Sightings
Author | Source | Type | Date |
---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.