EUVD-2026-69304
GHSA-hqqv-w5gg-rxj6
Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Local access with low privileges required to reach the deserialization endpoint; full triad impact consistent with successful gadget-chain RCE.
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 exposes AI training infrastructure to code execution, data tampering, and information disclosure by local low-privileged attackers. The vulnerability (CWE-502) resides in a bridge component of the Megatron-LM distributed training framework, used extensively in large-scale LLM training clusters. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires a local account on the target system with at minimum low-level operating system privileges (PR:L per CVSS vector), meaning the attacker must either already have a shell or code execution on the host, or hold a legitimate but restricted user account. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 7.8 score reflects a locally exploitable, low-complexity flaw with full confidentiality, integrity, and availability impact - a serious profile once an attacker establishes a local foothold. … 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 | The primary remediation is to apply any patch or updated release issued by NVIDIA per their product security advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5868. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours, conduct an immediate inventory of all systems running NVIDIA Megatron-LM and identify which teams or projects depend on Megatron Bridge components to establish scope of exposure. …
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More in Nemo Megatron Bridge
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Deserialization of untrusted data in NVIDIA Megatron Bridge enables a local low-privileged attacker to achieve code exec
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Deserialization of untrusted data in NVIDIA Megatron Bridge allows a local attacker with low privileges to achieve code
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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
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