eosphoros-ai db-gpt up to 0.6.0 Multipart Request resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in eosphoros-ai db-gpt up to 0.6.0. This issue affects some unknown processing of the component Multipart Request Handler. The manipulation leads to resource consumption. This vulnerability is uniquely identified as CVE-2024-10829. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in eosphoros-ai db-gpt up to 0.6.0 and classified as critical. This issue affects an unknown code of the component Multipart Request Handler. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:
A Denial of Service (DoS) vulnerability in the multipart request boundary processing mechanism of eosphoros-ai/db-gpt v0.6.0 allows unauthenticated attackers to cause excessive resource consumption. The server fails to handle excessive characters appended to the end of multipart boundaries, leading to an infinite loop and complete denial of service for all users. This vulnerability affects all endpoints processing multipart/form-data requests.
It is possible to read the advisory at huntr.com. The identification of this vulnerability is CVE-2024-10829 since 11/04/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.5VulDB Meta Temp Score: 7.5
VulDB Base Score: 7.5
VulDB Temp Score: 7.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (@huntr_ai): 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: 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: 🔍
| 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
11/04/2024 🔍03/20/2025 🔍
03/20/2025 🔍
07/17/2025 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2024-10829 (🔍)
GCVE (CVE): GCVE-0-2024-10829
GCVE (VulDB): GCVE-100-300227
Entry
Created: 03/20/2025 12:05Updated: 07/17/2025 15:43
Changes: 03/20/2025 12:05 (63), 07/17/2025 15:43 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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