NVIDIA TensorRT-LLM deserialization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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8.3$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in NVIDIA TensorRT-LLM. Affected is an unknown function. This manipulation causes deserialization. This vulnerability is registered as CVE-2025-23254. The attack needs to be launched locally. No exploit is available.

Detailsinfo

A vulnerability has been found in NVIDIA TensorRT-LLM (version now known) and classified as critical. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering.

It is possible to read the advisory at nvidia.custhelp.com. This vulnerability is known as CVE-2025-23254 since 01/14/2025. The exploitation appears to be easy. Attacking locally is a requirement. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/01/2025).

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.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.3
VulDB Meta Temp Score: 8.3

VulDB Base Score: 7.8
VulDB Temp Score: 7.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector (nvidia): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/14/2025 🔍
05/01/2025 +106 days 🔍
05/01/2025 +0 days 🔍
05/01/2025 +0 days 🔍

Sourcesinfo

Vendor: nvidia.com

Advisory: nvidia.custhelp.com
Status: Confirmed

CVE: CVE-2025-23254 (🔍)
GCVE (CVE): GCVE-0-2025-23254
GCVE (VulDB): GCVE-100-307075

Entryinfo

Created: 05/01/2025 19:06
Changes: 05/01/2025 19:06 (59)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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