CVE-2024-7042
"GraphCypherQAChain Langchainjs SQL Injection Vulnerability"
Description
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database.
INFO
Published Date :
Oct. 29, 2024, 1:15 p.m.
Last Modified :
Oct. 31, 2024, 6:36 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2024-7042
.
URL | Resource |
---|---|
https://github.com/langchain-ai/langchainjs/commit/615b9d9ab30a2d23a2f95fb8d7acfdf4b41ad7a6 | Patch |
https://huntr.com/bounties/b612defb-1104-4fff-9fef-001ab07c7b2d | Exploit Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-7042
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-7042
vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
Initial Analysis by [email protected]
Oct. 31, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/langchain-ai/langchainjs/commit/615b9d9ab30a2d23a2f95fb8d7acfdf4b41ad7a6 No Types Assigned https://github.com/langchain-ai/langchainjs/commit/615b9d9ab30a2d23a2f95fb8d7acfdf4b41ad7a6 Patch Changed Reference Type https://huntr.com/bounties/b612defb-1104-4fff-9fef-001ab07c7b2d No Types Assigned https://huntr.com/bounties/b612defb-1104-4fff-9fef-001ab07c7b2d Exploit, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:langchain:langchain:*:*:*:*:*:*:*:* versions up to (excluding) 0.3.1 -
CVE Received by [email protected]
Oct. 29, 2024
Action Type Old Value New Value Added Description A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. Added Reference huntr.dev https://huntr.com/bounties/b612defb-1104-4fff-9fef-001ab07c7b2d [No types assigned] Added Reference huntr.dev https://github.com/langchain-ai/langchainjs/commit/615b9d9ab30a2d23a2f95fb8d7acfdf4b41ad7a6 [No types assigned] Added CWE huntr.dev CWE-89 Added CVSS V3 huntr.dev AV:L/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-7042
is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-7042
weaknesses.