CVE-2026-25874: CWE-502 Deserialization of Untrusted Data in Hugging Face LeRobot
LeRobot through 0.5.1 contains an unsafe deserialization vulnerability in the async inference pipeline where pickle.loads() is used to deserialize data received over unauthenticated gRPC channels without TLS in the policy server and robot client components. An unauthenticated network-reachable attacker can achieve arbitrary code execution on the server or client by sending a crafted pickle payload through the SendPolicyInstructions, SendObservations, or GetActions gRPC calls.
AI Analysis
Technical Summary
CVE-2026-25874 is a critical vulnerability in Hugging Face's LeRobot product involving unsafe deserialization of untrusted data. The async inference pipeline uses Python's pickle.loads() to deserialize data received over unauthenticated and unencrypted gRPC channels in the policy server and robot client components. This unsafe deserialization allows an unauthenticated remote attacker to execute arbitrary code by sending maliciously crafted pickle payloads through the SendPolicyInstructions, SendObservations, or GetActions gRPC calls. The vulnerability affects version 0 of LeRobot and has a CVSS 4.0 base score of 9.3, reflecting high attack vector and impact metrics. No patch or official remediation level has been published as of the vulnerability disclosure date.
Potential Impact
An unauthenticated attacker with network access to the affected LeRobot components can achieve arbitrary code execution on both the server and client by exploiting unsafe deserialization over unauthenticated gRPC channels. This can lead to full compromise of the affected systems running LeRobot version 0. The vulnerability is critical due to the lack of authentication, encryption, and the use of insecure deserialization methods, allowing remote code execution without user interaction or privileges.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider restricting network access to the affected gRPC services, implementing network-level authentication or encryption (e.g., TLS), or disabling the vulnerable async inference pipeline components if feasible. Avoid exposing the policy server and robot client components to untrusted networks. Monitor vendor communications for updates on patches or official mitigations.
CVE-2026-25874: CWE-502 Deserialization of Untrusted Data in Hugging Face LeRobot
Description
LeRobot through 0.5.1 contains an unsafe deserialization vulnerability in the async inference pipeline where pickle.loads() is used to deserialize data received over unauthenticated gRPC channels without TLS in the policy server and robot client components. An unauthenticated network-reachable attacker can achieve arbitrary code execution on the server or client by sending a crafted pickle payload through the SendPolicyInstructions, SendObservations, or GetActions gRPC calls.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-25874 is a critical vulnerability in Hugging Face's LeRobot product involving unsafe deserialization of untrusted data. The async inference pipeline uses Python's pickle.loads() to deserialize data received over unauthenticated and unencrypted gRPC channels in the policy server and robot client components. This unsafe deserialization allows an unauthenticated remote attacker to execute arbitrary code by sending maliciously crafted pickle payloads through the SendPolicyInstructions, SendObservations, or GetActions gRPC calls. The vulnerability affects version 0 of LeRobot and has a CVSS 4.0 base score of 9.3, reflecting high attack vector and impact metrics. No patch or official remediation level has been published as of the vulnerability disclosure date.
Potential Impact
An unauthenticated attacker with network access to the affected LeRobot components can achieve arbitrary code execution on both the server and client by exploiting unsafe deserialization over unauthenticated gRPC channels. This can lead to full compromise of the affected systems running LeRobot version 0. The vulnerability is critical due to the lack of authentication, encryption, and the use of insecure deserialization methods, allowing remote code execution without user interaction or privileges.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider restricting network access to the affected gRPC services, implementing network-level authentication or encryption (e.g., TLS), or disabling the vulnerable async inference pipeline components if feasible. Avoid exposing the policy server and robot client components to untrusted networks. Monitor vendor communications for updates on patches or official mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-02-06T19:12:03.464Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69ea8d5f87115cfb685fc9c2
Added to database: 4/23/2026, 9:21:35 PM
Last enriched: 4/23/2026, 9:36:03 PM
Last updated: 4/23/2026, 10:23:52 PM
Views: 3
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