FKIE_CVE-2024-58340
Vulnerability from fkie_nvd - Published: 2026-01-12 23:15 - Updated: 2026-01-21 17:57
Severity
Summary
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.
References
| URL | Tags | ||
|---|---|---|---|
| disclosure@vulncheck.com | https://github.com/langchain-ai/langchain | Product | |
| disclosure@vulncheck.com | https://huntr.com/bounties/e7ece02c-d4bb-4166-8e08-6baf4f8845bb | Exploit, Issue Tracking, Third Party Advisory | |
| disclosure@vulncheck.com | https://www.langchain.com/ | Product | |
| disclosure@vulncheck.com | https://www.vulncheck.com/advisories/langchain-mrkloutputparser-redos | Third Party Advisory |
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"configurations": [
{
"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:langchain:langchain:*:*:*:*:*:*:*:*",
"matchCriteriaId": "6E9D0E05-1453-4F45-BA4F-C188E1639974",
"versionEndIncluding": "0.3.1",
"vulnerable": true
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "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."
},
{
"lang": "es",
"value": "Las versiones de LangChain hasta la 0.3.1 inclusive contienen una vulnerabilidad de denegaci\u00f3n de servicio por expresi\u00f3n regular (ReDoS) en el m\u00e9todo MRKLOutputParser.parse() (libs/langchain/langchain/agents/mrkl/output_parser.py). El analizador aplica una expresi\u00f3n regular propensa a retrocesos al extraer acciones de herramientas de la salida del modelo. Un atacante que puede suministrar o influir en el texto analizado (por ejemplo, mediante inyecci\u00f3n de prompt en aplicaciones posteriores que pasan la salida del LLM directamente a MRKLOutputParser.parse()) puede desencadenar un consumo excesivo de CPU al proporcionar una carga \u00fatil manipulada, causando retrasos significativos en el an\u00e1lisis y una condici\u00f3n de denegaci\u00f3n de servicio."
}
],
"id": "CVE-2024-58340",
"lastModified": "2026-01-21T17:57:56.537",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
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"cvssMetricV40": [
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"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
},
"published": "2026-01-12T23:15:51.780",
"references": [
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"source": "disclosure@vulncheck.com",
"tags": [
"Product"
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"url": "https://github.com/langchain-ai/langchain"
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"source": "disclosure@vulncheck.com",
"tags": [
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"url": "https://huntr.com/bounties/e7ece02c-d4bb-4166-8e08-6baf4f8845bb"
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{
"source": "disclosure@vulncheck.com",
"tags": [
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"url": "https://www.langchain.com/"
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{
"source": "disclosure@vulncheck.com",
"tags": [
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"url": "https://www.vulncheck.com/advisories/langchain-mrkloutputparser-redos"
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"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-1333"
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"source": "disclosure@vulncheck.com",
"type": "Primary"
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]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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