CVE-2024-3095
Apache Langchain SSRF Vulnerability
Description
A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component of langchain-ai/langchain version 0.1.5. The vulnerability arises because the Web Research Retriever does not restrict requests to remote internet addresses, allowing it to reach local addresses. This flaw enables attackers to execute port scans, access local services, and in some scenarios, read instance metadata from cloud environments. The vulnerability is particularly concerning as it can be exploited to abuse the Web Explorer server as a proxy for web attacks on third parties and interact with servers in the local network, including reading their response data. This could potentially lead to arbitrary code execution, depending on the nature of the local services. The vulnerability is limited to GET requests, as POST requests are not possible, but the impact on confidentiality, integrity, and availability is significant due to the potential for stolen credentials and state-changing interactions with internal APIs.
INFO
Published Date :
June 6, 2024, 7:15 p.m.
Last Modified :
Oct. 17, 2024, 7:44 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
4.0
Exploitability Score :
3.1
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-2024-3095.
| URL | Resource |
|---|---|
| https://huntr.com/bounties/e62d4895-2901-405b-9559-38276b6a5273 | 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-2024-3095 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-3095 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. 17, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N Changed Reference Type https://huntr.com/bounties/e62d4895-2901-405b-9559-38276b6a5273 No Types Assigned https://huntr.com/bounties/e62d4895-2901-405b-9559-38276b6a5273 Exploit, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:langchain:langchain:*:*:*:*:*:*:*:* versions from (including) 0.1.5 up to (excluding) 0.2.9 -
CVE Received by [email protected]
Jun. 06, 2024
Action Type Old Value New Value Added Description A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component of langchain-ai/langchain version 0.1.5. The vulnerability arises because the Web Research Retriever does not restrict requests to remote internet addresses, allowing it to reach local addresses. This flaw enables attackers to execute port scans, access local services, and in some scenarios, read instance metadata from cloud environments. The vulnerability is particularly concerning as it can be exploited to abuse the Web Explorer server as a proxy for web attacks on third parties and interact with servers in the local network, including reading their response data. This could potentially lead to arbitrary code execution, depending on the nature of the local services. The vulnerability is limited to GET requests, as POST requests are not possible, but the impact on confidentiality, integrity, and availability is significant due to the potential for stolen credentials and state-changing interactions with internal APIs. Added Reference huntr.dev https://huntr.com/bounties/e62d4895-2901-405b-9559-38276b6a5273 [No types assigned] Added CWE huntr.dev CWE-918 Added CVSS V3 huntr.dev AV:P/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-3095 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-2024-3095
weaknesses.