Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Local vector confirmed by framework context; PR:L reflects minimum user-level access needed to reach the deserialization surface; full C/I/A impact consistent with arbitrary code execution via gadget chain.
Primary rating from Vendor (nvidia).
CVSS VectorVendor: nvidia
Lifecycle Timeline
2DescriptionCVE.org
NVIDIA Megatron Bridge contains a vulnerability where an attacker could cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.
Articles & Coverage 2
AnalysisAI
Deserialization of untrusted data in NVIDIA Megatron Bridge allows a local low-privileged attacker to achieve code execution, tamper with data, and disclose sensitive information on the affected host. The CVSS:3.1 score of 7.8 (High) with a local attack vector reflects that exploitation requires an existing foothold on the system, but the low privilege requirement and no user interaction needed make post-access exploitation straightforward. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires an existing local session on the affected host with at least low-privilege user access (PR:L per CVSS vector). … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 3.1 vector AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H yields a score of 7.8 High, reflecting high-impact exploitation that nonetheless requires a local low-privileged session - limiting exposure compared to network-reachable vulnerabilities. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | Full exploit scenario with step-by-step reproduction available after sign-in. |
| Remediation | No exact patched version number is confirmed from the provided data. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Begin immediately by identifying and inventorying all systems running NVIDIA Megatron Bridge within 24 hours, documenting installed versions and each system's role in your ML pipeline. …
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Same weakness CWE-502 – Deserialization of Untrusted Data
View allSame technique Information Disclosure
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-69318
GHSA-8468-j3f4-p5f8