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Status published
Medium
CVE-2024-1455
Billion Laughs Attack leading to DoS in langchain-ai/langchain
Vulnerability Description
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).
Impact Analysis
Refer to official advisory for detailed impact metrics.
Remediation
Ensure systems are updated to the latest vendor-supplied patch levels.
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Credits & Attribution
No credits recorded in the NVD database.
References
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CVE-2025-6985
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High
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CVE-2025-6984
Sensitive Information Disclosure Due to Insecure XML Parsing in langchain-ai/langchain
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CVE-2025-68665
LangChain serialization injection vulnerability enables secret extraction
High
8.6
CVE-2025-68664
LangChain serialization injection vulnerability enables secret extraction in dumps/loads APIs
Critical
9.3
Affected Vendor
langchain-ai
View all reports →Affected Software
langchain-ai/langchain
Vulnerable Versions:
unspecified
Timeline
Official Publish:
March 26th, 2024
Last Modified:
August 15th, 2024
Added to House:
July 22nd, 2026
CVSS Vectors
V3:
CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses (CWE)
MITRE ATT&CK TTPs
No associated TTPs found for this vulnerability.