langchain-ai langchain up to 0.1.5 Web Research Retriever server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in langchain-ai langchain up to 0.1.5. This affects an unknown function of the component Web Research Retriever. The manipulation leads to server-side request forgery. This vulnerability is documented as CVE-2024-3095. It is possible to launch the attack on the physical device. There is not any exploit available.
Details
A vulnerability was found in langchain-ai langchain up to 0.1.5 and classified as problematic. This issue affects an unknown code of the component Web Research Retriever. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality. The summary by CVE is:
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.
The advisory is shared at huntr.com. The identification of this vulnerability is CVE-2024-3095 since 03/29/2024. The exploitation is known to be difficult. An attack has to be approached locally. Neither technical details nor an exploit are publicly available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.8
VulDB Base Score: 1.8
VulDB Temp Score: 1.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.7
NVD Vector: 🔍
CNA Base Score: 4.8
CNA Vector (huntr.dev): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
CAPEC: 🔍
ATT&CK: 🔍
Physical: Yes
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/29/2024 🔍06/06/2024 🔍
06/06/2024 🔍
10/18/2024 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2024-3095 (🔍)
GCVE (CVE): GCVE-0-2024-3095
GCVE (VulDB): GCVE-100-267341
Entry
Created: 06/06/2024 21:31Updated: 10/18/2024 06:21
Changes: 06/06/2024 21:31 (63), 06/08/2024 04:37 (1), 10/18/2024 06:21 (11)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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