Megatron Bridge
Monthly
Local code execution and privilege escalation in NVIDIA Megatron Bridge (Linux) stems from unsafe handling of dynamically managed code resources, rooted in an insecure deserialization flaw (CWE-502). A low-privileged local user who can influence the data or model artifacts Megatron Bridge loads can achieve arbitrary code execution, escalate privileges, tamper with data, and disclose information. NVIDIA self-reported the issue with a CVSS 3.1 base score of 7.8; there is no public exploit identified at time of analysis and it is not listed in CISA KEV.
Local privilege escalation and code execution in NVIDIA Megatron Bridge for Linux stems from unsafe deserialization of attacker-controlled input (CWE-502), allowing a low-privileged local user to achieve arbitrary code execution, tamper with data, and disclose information. NVIDIA reported the flaw with no public exploit identified at time of analysis, and it is not listed in CISA KEV; no EPSS score was provided. Megatron Bridge is an ML/LLM training framework, so impact centers on shared GPU/training hosts rather than internet-facing services.
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. There is no public exploit identified at time of analysis and it is not listed in CISA KEV, but the CVSS 7.8 (High) rating with full C/I/A impact makes it a meaningful risk on shared or multi-tenant ML infrastructure.
Arbitrary code execution in NVIDIA Megatron Bridge for Linux stems from improper control of code generation (CWE-94), allowing an attacker who convinces a user to process a malicious artifact to run code in the context of the training/inference workload. Successful exploitation can escalate privileges, tamper with data, and disclose information. There is no public exploit identified at time of analysis, and the flaw is not listed in CISA KEV; the CVSS 3.1 vector (AV:L/UI:R) indicates local access with user interaction is required.
Insecure deserialization in NVIDIA Megatron Bridge for Linux (CWE-502) lets an attacker who supplies a crafted serialized object achieve code execution, privilege escalation, data tampering, and information disclosure when a local user loads that data. The CVSS 3.1 vector (AV:L/AC:L/PR:N/UI:R) shows the attack is local and hinges on the victim opening attacker-controlled content, with no public exploit identified at time of analysis. Megatron Bridge is a specialized NVIDIA library for bridging large-language-model training frameworks, so exposure is concentrated in ML/AI training and research environments rather than general enterprise fleets.
Arbitrary code execution in NVIDIA Megatron Bridge on Linux arises from unsafe reflection (CWE-470), where externally-controlled input selects which classes or code resources are dynamically loaded. A local attacker who convinces a user to load a crafted artifact (e.g., a malicious model, checkpoint, or configuration) can trigger code execution, privilege escalation, data tampering, and information disclosure. There is no public exploit identified at time of analysis, and it is not listed in CISA KEV.
Arbitrary code execution in NVIDIA Megatron Bridge for Linux arises from unsafe deserialization of untrusted data (CWE-502), allowing an attacker who tricks a user into loading a crafted serialized object to execute code, escalate privileges, tamper with data, and disclose information. The flaw affects the Megatron Bridge model-conversion/training tooling and is locally exploitable but hinges on victim interaction (UI:R). No public exploit code has been identified and the issue is not in CISA KEV, so there is currently no evidence of active exploitation.
Arbitrary code execution and privilege escalation in NVIDIA Megatron Bridge on Linux arises from unsafe deserialization of untrusted data, allowing a local attacker who convinces a user to load a malicious serialized object to run code, tamper with data, and disclose information. NVIDIA (the reporting vendor) rates it 7.8 (High); the CVSS vector requires local access and user interaction, so exploitation is not remote-unauthenticated. There is no public exploit identified at time of analysis and it is not listed in CISA KEV.
Arbitrary code execution in NVIDIA Megatron Bridge (all versions per the NVIDIA advisory) arises from unsafe deserialization of untrusted data (CWE-502), where an attacker supplies a crafted serialized object — typically a malicious model checkpoint or configuration artifact — that a user loads locally, yielding code execution, privilege escalation, data tampering, and information disclosure. The CVSS 3.1 base score is 7.8 (High) with a local vector requiring user interaction (AV:L/UI:R) and no attacker privileges. There is no public exploit identified at time of analysis and it is not listed in CISA KEV; no EPSS score was provided.
Server-side request forgery in NVIDIA Megatron Bridge for Linux allows an attacker to coerce the software into issuing attacker-controlled requests, potentially leading to disclosure of sensitive information. The flaw (CWE-918) was reported by NVIDIA itself and carries a vendor CVSS 3.1 score of 7.8; notably the vector is scored as local with required user interaction (AV:L/UI:R) rather than a classic remote SSRF, which security teams should reconcile against the SSRF classification. There is no public exploit identified at time of analysis and it is not listed in CISA KEV.
Deserialization of untrusted data in NVIDIA Megatron Bridge for Linux (CWE-502) can lead to arbitrary code execution, privilege escalation, data tampering, and information disclosure when a user loads attacker-controlled data. The CVSS 3.1 vector (AV:L/AC:L/PR:N/UI:R) indicates a local attack requiring the victim to open or process a malicious artifact — consistent with unsafe deserialization of a model checkpoint, config, or serialized object. There is no public exploit identified at time of analysis and the CVE is not listed in CISA KEV; EPSS was not provided.
NVIDIA Megatron Bridge contains a vulnerability in a data shuffling tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering. [CVSS 7.8 HIGH]
NVIDIA Megatron Bridge contains a vulnerability in a data merging tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering. [CVSS 7.8 HIGH]
Local code execution and privilege escalation in NVIDIA Megatron Bridge (Linux) stems from unsafe handling of dynamically managed code resources, rooted in an insecure deserialization flaw (CWE-502). A low-privileged local user who can influence the data or model artifacts Megatron Bridge loads can achieve arbitrary code execution, escalate privileges, tamper with data, and disclose information. NVIDIA self-reported the issue with a CVSS 3.1 base score of 7.8; there is no public exploit identified at time of analysis and it is not listed in CISA KEV.
Local privilege escalation and code execution in NVIDIA Megatron Bridge for Linux stems from unsafe deserialization of attacker-controlled input (CWE-502), allowing a low-privileged local user to achieve arbitrary code execution, tamper with data, and disclose information. NVIDIA reported the flaw with no public exploit identified at time of analysis, and it is not listed in CISA KEV; no EPSS score was provided. Megatron Bridge is an ML/LLM training framework, so impact centers on shared GPU/training hosts rather than internet-facing services.
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. There is no public exploit identified at time of analysis and it is not listed in CISA KEV, but the CVSS 7.8 (High) rating with full C/I/A impact makes it a meaningful risk on shared or multi-tenant ML infrastructure.
Arbitrary code execution in NVIDIA Megatron Bridge for Linux stems from improper control of code generation (CWE-94), allowing an attacker who convinces a user to process a malicious artifact to run code in the context of the training/inference workload. Successful exploitation can escalate privileges, tamper with data, and disclose information. There is no public exploit identified at time of analysis, and the flaw is not listed in CISA KEV; the CVSS 3.1 vector (AV:L/UI:R) indicates local access with user interaction is required.
Insecure deserialization in NVIDIA Megatron Bridge for Linux (CWE-502) lets an attacker who supplies a crafted serialized object achieve code execution, privilege escalation, data tampering, and information disclosure when a local user loads that data. The CVSS 3.1 vector (AV:L/AC:L/PR:N/UI:R) shows the attack is local and hinges on the victim opening attacker-controlled content, with no public exploit identified at time of analysis. Megatron Bridge is a specialized NVIDIA library for bridging large-language-model training frameworks, so exposure is concentrated in ML/AI training and research environments rather than general enterprise fleets.
Arbitrary code execution in NVIDIA Megatron Bridge on Linux arises from unsafe reflection (CWE-470), where externally-controlled input selects which classes or code resources are dynamically loaded. A local attacker who convinces a user to load a crafted artifact (e.g., a malicious model, checkpoint, or configuration) can trigger code execution, privilege escalation, data tampering, and information disclosure. There is no public exploit identified at time of analysis, and it is not listed in CISA KEV.
Arbitrary code execution in NVIDIA Megatron Bridge for Linux arises from unsafe deserialization of untrusted data (CWE-502), allowing an attacker who tricks a user into loading a crafted serialized object to execute code, escalate privileges, tamper with data, and disclose information. The flaw affects the Megatron Bridge model-conversion/training tooling and is locally exploitable but hinges on victim interaction (UI:R). No public exploit code has been identified and the issue is not in CISA KEV, so there is currently no evidence of active exploitation.
Arbitrary code execution and privilege escalation in NVIDIA Megatron Bridge on Linux arises from unsafe deserialization of untrusted data, allowing a local attacker who convinces a user to load a malicious serialized object to run code, tamper with data, and disclose information. NVIDIA (the reporting vendor) rates it 7.8 (High); the CVSS vector requires local access and user interaction, so exploitation is not remote-unauthenticated. There is no public exploit identified at time of analysis and it is not listed in CISA KEV.
Arbitrary code execution in NVIDIA Megatron Bridge (all versions per the NVIDIA advisory) arises from unsafe deserialization of untrusted data (CWE-502), where an attacker supplies a crafted serialized object — typically a malicious model checkpoint or configuration artifact — that a user loads locally, yielding code execution, privilege escalation, data tampering, and information disclosure. The CVSS 3.1 base score is 7.8 (High) with a local vector requiring user interaction (AV:L/UI:R) and no attacker privileges. There is no public exploit identified at time of analysis and it is not listed in CISA KEV; no EPSS score was provided.
Server-side request forgery in NVIDIA Megatron Bridge for Linux allows an attacker to coerce the software into issuing attacker-controlled requests, potentially leading to disclosure of sensitive information. The flaw (CWE-918) was reported by NVIDIA itself and carries a vendor CVSS 3.1 score of 7.8; notably the vector is scored as local with required user interaction (AV:L/UI:R) rather than a classic remote SSRF, which security teams should reconcile against the SSRF classification. There is no public exploit identified at time of analysis and it is not listed in CISA KEV.
Deserialization of untrusted data in NVIDIA Megatron Bridge for Linux (CWE-502) can lead to arbitrary code execution, privilege escalation, data tampering, and information disclosure when a user loads attacker-controlled data. The CVSS 3.1 vector (AV:L/AC:L/PR:N/UI:R) indicates a local attack requiring the victim to open or process a malicious artifact — consistent with unsafe deserialization of a model checkpoint, config, or serialized object. There is no public exploit identified at time of analysis and the CVE is not listed in CISA KEV; EPSS was not provided.
NVIDIA Megatron Bridge contains a vulnerability in a data shuffling tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering. [CVSS 7.8 HIGH]
NVIDIA Megatron Bridge contains a vulnerability in a data merging tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering. [CVSS 7.8 HIGH]