Unknown
Multiple Products
Appsmith is a platform to build admin panels, internal tools, and dashboards. In versions 1.94 and below, publicly accessible apps allow unauthenticat...
2026-01-22
Description
Appsmith is a platform to build admin panels, internal tools, and dashboards. In versions 1.94 and below, publicly accessible apps allow unauthenticated users to execute unpublished (edit-mode) actions by sending viewMode=false (or omitting it) to POST /api/v1/actions/execute. This bypasses the expected publish boundary where public viewers should only execute published actions, not edit-mode versions. An attack can result in sensitive data exposure, execution of edit‑mode queries and APIs, development data access, and the ability to trigger side effect behavior. This issue does not have a released fix at the time of publication.
AI Analyst Comment
Remediation
Update Appsmith is a platform to build admin Multiple Products to the latest version. Monitor for exploitation attempts and review access logs.
---METADATA---
VENDOR: NVIDIA
PRODUCT: Megatron-LM
AFFECTED_VERSIONS: All platforms; See vendor advisory for specific affected versions
---END_METADATA---
Description Summary:
A code injection vulnerability in NVIDIA Megatron-LM for all platforms allows an attacker to execute arbitrary code by providing malicious data to a vulnerable script.
Executive Summary:
NVIDIA Megatron-LM contains a high-severity code injection vulnerability that could allow an attacker to execute malicious code across all supported platforms.
Vulnerability Details
CVE-ID: CVE-2026-24149
Affected Software: NVIDIA Megatron-LM
Affected Versions: All platforms; See vendor advisory
Vulnerability: The vulnerability exists in a script within the Megatron-LM framework. An attacker can create malicious data that, when processed by the script, triggers a code injection, allowing for the execution of arbitrary commands in the context of the application.
Business Impact
This flaw poses a severe risk to AI and machine learning environments, potentially allowing an attacker to steal proprietary models, manipulate training data, or gain a foothold in high-performance computing clusters. The CVSS score of 7.8 indicates a High severity risk due to the potential for complete system compromise.
Remediation Plan
Immediate Action: Apply the security updates provided by NVIDIA for Megatron-LM immediately to patch the vulnerable script.
Proactive Monitoring: Review system logs for unusual process execution or network connections originating from the machine learning environment.
Compensating Controls: Implement strict input validation on all data processed by Megatron-LM scripts and isolate the training environment from the broader corporate network.
Exploitation Status
Public Exploit Available: false
Analyst Notes: As of February 5, 2026, there is no public information indicating active exploitation of this vulnerability. However, the nature of code injection in a widely used ML framework makes this a highly attractive target for sophisticated attackers.
Analyst Recommendation
NVIDIA Megatron-LM is a critical component in many AI pipelines. Organizations should prioritize patching this code injection vulnerability immediately to protect their intellectual property and computational resources from unauthorized access.