Full Report
TL;DR: A critical deserialization vulnerability (CVSS 9.8 – CVE-2025-27520) in BentoML (v1.3.8–1.4.2) lets attackers execute remote code without…
Analysis Summary
The provided article excerpt confirms the existence of a vulnerability in BentoML that allows Remote Code Execution (RCE) on AI servers, but **it lacks specific technical details, CVE identifiers, severity scores, affected versions, or explicit patching information.** The summary below reflects only the information that could be inferred or is strongly implied by the title and context.
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# Vulnerability: Remote Code Execution in BentoML
## CVE Details
- CVE ID: Information not provided in the text.
- CVSS Score: Information not provided in the text.
- CWE: Information not provided in the text.
## Affected Systems
- Products: BentoML (Framework used for serving AI models).
- Versions: Specific vulnerable versions are not detailed in the provided text.
- Configurations: Likely affects deployments/servers running vulnerable BentoML instances.
## Vulnerability Description
The article indicates a critical vulnerability exists within the BentoML framework that could allow a remote attacker to achieve Remote Code Execution (RCE) on servers hosting AI models. The context strongly suggests an issue related to input handling or serialization/deserialization commonly found in serving frameworks.
## Exploitation
- Status: Exploitation status (in the wild or PoC availability) is **not specified** in the provided text, though the presence of a public report suggests active research or disclosure.
- Complexity: Implied to be potentially **High** given the outcome is RCE.
- Attack Vector: Likely **Network**, given it affects remote servers.
## Impact
- Confidentiality: High (Likely full system compromise).
- Integrity: High (Likely full system compromise).
- Availability: High (Likely system disruption or complete takeover).
## Remediation
### Patches
- Specific patch versions are **not provided** in the source text. Users should consult the official BentoML security advisory immediately.
### Workarounds
- Workarounds are **not detailed** in the source text. General security practice suggests restricting network access to deployment endpoints until patched.
## Detection
- Detection strategies are **not detailed** in the source text. Monitoring server process activity for unexpected shell commands or unauthorized file modifications is advised.
## References
- Vendor advisories: Information not provided in the text.
- Relevant links: The primary source link is `hackread.com/bentoml-vulnerability-remote-code-execution-ai-servers/` (defanged).