Exploit discussion active in current signal (1 latest mentions)
Recommended action window: High priority (within 72h)
NVD description
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.
Priority
LOW
Exploitation
NONE
PoC
YES
Patch
AVAILABLE
Momentum
STABLE
If you run products in this scope, you should treat this CVE as relevant to your environment.
| Date | Total | Labels |
|---|
| 2026-03-30 | 4 | Disclosure3Patch1 |
| 2026-03-31 | 2 | General2 |
| 2026-04-01 | 1 | Disclosure1 |
everyone is now panicking about AI hacking we've been AI hacking 10.0 critical in MLFlow by AI security agent waclaude (button pushed by me lol) CVE-2025-15379 https://t.co/P8zC6x5KlE
Post summary
The tweet references CVE-2025-15379 but offers no concrete details, exploitation evidence, or remediation information.
you can read the NVD report here: https://nvd.nist.gov/vuln/detail/CVE-2025-15379
Post summary
The post merely provides a link to the NVD report for CVE‑2025‑15379 with no additional context or details.
[CVE-2025-15379: CRITICAL] Critical command injection vulnerability in MLflow version 3.8.0 enables arbitrary command execution. Upgrade to version 3.8.2 to fix the security flaw. #CyberSecurity#cve,CVE-2025-15379,#cybersecurity https://cvefind.com/CVE-2025-15379
Post summary
A critical command injection vulnerability in MLflow 3.8.0 is disclosed, and users are advised to upgrade to version 3.8.2 to mitigate the issue.
`MLflow` is vulnerable to command injection (CVE-2025-15379), potentially allowing arbitrary code execution. Assess impact in your `MLflow` deployments. #MLflow #CommandInjection #InfoSec https://www.pulsepatch.io/posts/cve-2025-15379-mlflow-command-injection
Post summary
The post alerts that MLflow is vulnerable to command injection (CVE‑2025‑15379), allowing arbitrary code execution, and urges users to assess the impact of the flaw.
CVE-2025-15379 A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function.… https://www.cve.org/CVERecord?id=CVE-2025-15379
Post summary
The CVE‑2025‑15379 reveals a command injection flaw in MLflow’s model serving initialization code, but no proof of concept, exploit, or patch information is provided.
🔴 CVE-2025-15379 - Critical A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a mod... https://www.thehackerwire.com/vulnerability/CVE-2025-15379/ https://t.co/FuHN61P2CN
Post summary
The tweet announces a critical command injection vulnerability in MLflow’s model serving container initialization, highlighting the affected function but lacking exploit, patch, or active exploitation details.
🚨 CVE-2025-15379: Command Injection in mlflow/mlfl... MLflow's `python_env.yaml` parsing becomes a shell injection goldmine - malicious model artifacts = instant RCE on depl... https://zerodaysignal.com/vulnerability/CVE-2025-15379 #netsec #vulnerability #CVE #sysadmin #zeroday
Post summary
The post announces a command‑injection flaw in MLflow’s python_env.yaml parsing that allows RCE, but provides no PoC, exploit, or patch information.
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| Part | Vendor | Product | Version | Target SW | Target HW |
|---|---|---|---|---|---|
| App | lfprojects | mlflow | - | - | - |