CubeFS up to 3.3.0 HandlerNode allocation of resources
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in CubeFS up to 3.3.0. The impacted element is an unknown function of the component HandlerNode. This manipulation causes allocation of resources. The identification of this vulnerability is CVE-2023-46738. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.
Details
A vulnerability has been found in CubeFS up to 3.3.0 and classified as critical. Affected by this vulnerability is some unknown processing of the component HandlerNode. The manipulation with an unknown input leads to a allocation of resources vulnerability. The CWE definition for the vulnerability is CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. As an impact it is known to affect availability. The summary by CVE is:
CubeFS is an open-source cloud-native file storage system. A security vulnerability was found in CubeFS HandlerNode in versions prior to 3.3.1 that could allow authenticated users to send maliciously-crafted requests that would crash the ObjectNode and deny other users from using it. The root cause was improper handling of incoming HTTP requests that could allow an attacker to control the ammount of memory that the ObjectNode would allocate. A malicious request could make the ObjectNode allocate more memory that the machine had available, and the attacker could exhaust memory by way of a single malicious request. An attacker would need to be authenticated in order to invoke the vulnerable code with their malicious request and have permissions to delete objects. In addition, the attacker would need to know the names of existing buckets of the CubeFS deployment - otherwise the request would be rejected before it reached the vulnerable code. As such, the most likely attacker is an inside user or an attacker that has breached the account of an existing user in the cluster. The issue has been patched in v3.3.1. There is no other mitigation besides upgrading.
The weakness was shared 01/03/2024. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-46738 since 10/25/2023. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 3.3.1 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
License
Website
- Product: https://github.com/cubefs/cubefs/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.3
VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Allocation of resourcesCWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: CubeFS 3.3.1
Patch: github.com
Timeline
10/25/2023 🔍01/03/2024 🔍
01/03/2024 🔍
01/23/2024 🔍
Sources
Product: github.comAdvisory: dd46c24873c8f3df48d0a598b704ef9bd24b1ec1
Status: Confirmed
CVE: CVE-2023-46738 (🔍)
GCVE (CVE): GCVE-0-2023-46738
GCVE (VulDB): GCVE-100-249619
Entry
Created: 01/03/2024 17:17Updated: 01/23/2024 16:09
Changes: 01/03/2024 17:17 (47), 01/23/2024 16:03 (2), 01/23/2024 16:09 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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