NVIDIA Triton Inference Server up to 26.05 allocation of resources
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.43 |
Summary
A vulnerability was found in NVIDIA Triton Inference Server up to 26.05. It has been rated as critical. Affected by this issue is some unknown functionality. This manipulation causes allocation of resources. The identification of this vulnerability is CVE-2026-47628. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability has been found in NVIDIA Triton Inference Server up to 26.05 and classified as critical. Affected by this vulnerability is an unknown function. 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:
NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker could cause an allocation of resources without limits. A successful exploit might lead to denial of service.
This vulnerability is known as CVE-2026-47628 since 05/19/2026. The exploitation appears to be easy. The attack can be launched remotely. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
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
Vendor
Name
Version
License
Website
- Vendor: https://www.nvidia.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 7.0
VulDB Base Score: 6.5
VulDB Temp Score: 6.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (nvidia): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
05/19/2026 CVE reserved08/18/2026 Advisory disclosed
08/18/2026 VulDB entry created
08/18/2026 VulDB entry last update
Sources
Vendor: nvidia.comStatus: Confirmed
CVE: CVE-2026-47628 (🔒)
GCVE (CVE): GCVE-0-2026-47628
GCVE (VulDB): GCVE-100-391909
Entry
Created: 08/18/2026 20:38Changes: 08/18/2026 20:38 (59)
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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