| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.6 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in NVIDIA Megatron-LM. This affects an unknown function of the file tasks/orqa/unsupervised/nq.py. Performing a manipulation results in code injection. This vulnerability is reported as CVE-2025-23349. The attack requires a local approach. No exploit exists. It is suggested to upgrade the affected component.
Details
A vulnerability was found in NVIDIA Megatron-LM (the affected version is unknown). It has been classified as critical. This affects an unknown code of the file tasks/orqa/unsupervised/nq.py. The manipulation with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
NVIDIA Megatron-LM for all platforms contains a vulnerability in the tasks/orqa/unsupervised/nq.py component, where an attacker may cause a code injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.
This vulnerability is uniquely identified as CVE-2025-23349 since 01/14/2025. The exploitability is told to be easy. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
Upgrading eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
License
Website
- Vendor: https://www.nvidia.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.8VulDB Meta Temp Score: 7.6
VulDB Base Score: 7.8
VulDB Temp Score: 7.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.8
CNA Vector (nvidia): 🔒
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: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: No
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: UpgradeStatus: 🔍
0-Day Time: 🔒
Timeline
01/14/2025 CVE reserved09/24/2025 Advisory disclosed
09/24/2025 VulDB entry created
09/24/2025 VulDB entry last update
Sources
Vendor: nvidia.comStatus: Confirmed
CVE: CVE-2025-23349 (🔒)
GCVE (CVE): GCVE-0-2025-23349
GCVE (VulDB): GCVE-100-325707
Entry
Created: 09/24/2025 15:32Changes: 09/24/2025 15:32 (61)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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