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NVIDIA Megatron Bridge CVE-2026-24249

| EUVDEUVD-2026-41017 HIGH
Code Injection (CWE-94)
2026-07-01 nvidia GHSA-h8c2-j9cr-f3p6
7.8
CVSS 3.1 · Vendor: nvidia
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Severity by source

Vendor (nvidia) PRIMARY
7.8 HIGH
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI
7.8 HIGH

Local vector since the attacker must supply serialized data to a local process (AV:L); a low-privileged user triggers it without interaction (PR:L, AC:L, UI:N); deserialization RCE yields full C/I/A impact.

3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
4.0 AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (nvidia).

CVSS VectorVendor: nvidia

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

2
Analysis Generated
Jul 01, 2026 - 15:55 vuln.today
CVE Published
Jul 01, 2026 - 14:57 cve.org
HIGH 7.8

DescriptionCVE.org

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.

AnalysisAI

Deserialization of untrusted data in NVIDIA Megatron Bridge for Linux allows a low-privileged local attacker to achieve code execution, privilege escalation, data tampering, and information disclosure. Megatron Bridge is NVIDIA's model-interoperability tooling used to convert and load large-language-model checkpoints in the Megatron/PyTorch training stack, where unsafe object deserialization (CWE-94) lets attacker-controlled serialized data run arbitrary code in the process context. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Obtain low-privileged local access
Delivery
Plant malicious serialized checkpoint/config
Exploit
Victim job loads untrusted data
Execution
Unsafe deserialization executes payload
Persist
Escalate privileges, run arbitrary code
Impact
Exfiltrate or tamper with data

Vulnerability AssessmentAI

Exploitation Exploitation requires the attacker to (1) have local access with at least low privileges (PR:L) on the host running Megatron Bridge, and (2) be able to supply or influence a serialized input - a model checkpoint, saved state, or config - that Megatron Bridge subsequently deserializes/loads. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS vector CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H scores 7.8 (High) and is internally consistent with a deserialization flaw: local attack vector (AV:L) reflects that the attacker must supply data to a process on the host, low complexity (AC:L) and low privileges (PR:L) mean an authenticated local user with minimal rights can trigger it without user interaction, and the High confidentiality, integrity and availability impacts reflect full code execution in the victim process. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker with a low-privileged local account on a shared GPU training host (or who can influence a model checkpoint pulled into a pipeline) plants a maliciously crafted serialized checkpoint or config. When a victim user or automated job runs Megatron Bridge to load or convert that artifact, the embedded payload executes during deserialization, running arbitrary code as the victim and enabling privilege escalation, data theft, or tampering. …
Remediation Upgrade NVIDIA Megatron Bridge to the fixed version listed in NVIDIA's advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5841 - no exact fix version is provided in the input data, so the vendor advisory must be consulted (no vendor-released patch version independently confirmed at time of analysis). … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: inventory all systems running NVIDIA Megatron Bridge for Linux; identify which systems run multi-tenant workloads or process sensitive models. …

Sign in for detailed remediation steps and compensating controls.

Threat intelligence, references, and detailed analysis are available after sign-in.

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CVE-2026-24249 vulnerability details – vuln.today

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