CVE-2025-23247VulnerabilityPublished 27 May 2025Updated 2 Jun 2025

CVE-2025-23247: NVIDIA CUDA Toolkit · CWE-130

Affects NVIDIA CUDA ToolkitSource CVE Database V5

Not known to be exploited · CVSS 4.4 Medium.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score

4.4Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.3% chance of exploitation in 30 days – higher than 23% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N

Attack Vector: Local
Attack Complexity: Low
Privileges Required: None
User Interaction: Required
Scope: Unchanged
Confidentiality: Low
Integrity: Low
Availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Local: The vulnerable component is not bound to the network stack and the attacker’s path is via read/write/execute capabilities. Either: the attacker exploits the vulnerability by accessing the target system locally (e.g., keyboard, console), or remotely (e.g., SSH); or the attacker relies on User Interaction by another person to perform actions required to exploit the vulnerability (e.g., tricking a legitimate user into opening a malicious document).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: Required: Successful exploitation of this vulnerability requires a user to take some action before the vulnerability can be exploited.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the impacted component.
Integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact on the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 27 May 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

AI-suggested

To mitigate this vulnerability, European organizations should: 1) Immediately audit and inventory all systems running NVIDIA CUDA Toolkit, focusing on versions up to 12.9. 2) Restrict access to the cuobjdump binary to trusted users only, employing strict file permissions and user role separation to minimize local attack surface. 3) Implement strict user environment controls and sandboxing for users who need to process ELF files with cuobjdump, reducing the risk of arbitrary code execution affecting broader systems. 4) Monitor for unusual activity related to ELF file processing and cuobjdump usage, including unexpected crashes or execution anomalies. 5) Until an official patch is released, consider disabling or limiting the use of cuobjdump in environments where it is not essential. 6) Educate users about the risks of processing untrusted ELF files and enforce policies to avoid running tools on files from unverified sources. 7) Maintain up-to-date endpoint protection and behavior-based detection systems that could identify exploitation attempts. 8) Prepare to deploy patches promptly once NVIDIA releases them, and test updates in controlled environments before widespread deployment.

Description

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a failure to check the length of a buffer could allow a user to cause the tool to crash or execute arbitrary code by passing in a malformed ELF file. A successful exploit of this vulnerability might lead to arbitrary code execution.

Impact

For European organizations, especially those engaged in AI research, scientific computing, and industries relying on GPU-accelerated applications, this vulnerability poses a moderate risk. Exploitation could allow attackers with local access to execute arbitrary code, potentially leading to unauthorized data access or manipulation within development environments. While the requirement for local access and user interaction limits remote exploitation, insider threats or compromised user accounts could leverage this vulnerability. Organizations using NVIDIA CUDA Toolkit in multi-user environments or shared computing clusters may face increased risk if proper user isolation is not enforced. The impact on critical infrastructure is limited but could affect research institutions, universities, and technology companies heavily invested in GPU computing. Since the vulnerability does not affect system-wide availability or require elevated privileges, the overall business disruption risk is moderate but should not be underestimated in sensitive environments.

CWE-130Improper Handling of Length Parameter Inconsistency (opens in a new tab)
Base weakness
The product parses a formatted message or structure, but it does not handle or incorrectly handles a length field that is inconsistent with the actual length of the associated data.
Implementation
When processing structured incoming data containing a size field followed by raw data, ensure that you identify and resolve any inconsistencies between the size field and the actual size of the data.
Implementation
Do not let the user control the size of the buffer.
Implementation
Validate that the length of the user-supplied data is consistent with the buffer size.
OWASP Cheat Sheets
XML Security (opens in a new tab)
Mass Assignment (opens in a new tab)
OWASP ASVS 4.0.3
V13.3.1 (opens in a new tab)
V5.1.4 (opens in a new tab)
V5.1.3 (opens in a new tab)
Attack patterns
Buffer Overflow via Parameter Expansion (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Description

AI analysisMachine-generated, updated 6 Jul 2025, 00:41 UTC

WeaknessesCWE-130

Technical details

References

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