Lyrie
Critical CVE
CVSS 9.83 sources verified·1 min read
By Lyrie Threat Intelligence·4/24/2026

CRITICAL: CVE-2025-62373 (CVSS 9.8) — multiple products

CVE: CVE-2025-62373

CVSS: 9.8 (3.1) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Severity: CRITICAL

Status: Critical advisory

Affected

_See vendor advisory_

Summary

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Versions 0.0.41 through 0.0.93 have a vulnerability in LivekitFrameSerializer – an optional, non-default, undocumented frame serializer class (now deprecated) intended for LiveKit integration. The class's deserialize() method uses Python's pickle.loads() on data received from WebSocket clients without any validation or sanitization. This means that a malicious WebSocket client can send a crafted pickle payload to execute arbitrary code on the Pipecat server. The vulnerable code resides in src/pipecat/serializers/livekit.py (around line 73), where untrusted WebSocket message data is passed directly into pickle.loads() for deserialization. If a Pipecat server is configured to use LivekitFrameSerializer and is listening on an external interface (e.g. 0.0.0.0), an attacker on the network (or the internet, if the service is exposed) could achieve remote code execution (RCE) on the server by sending a malicious pickle payload. Version 0.0.94 contains a fix. Users of Pipecat should avoid or replace unsafe deserialization and improve network security configuration. The best mitigation is to stop using the vulnerable LivekitFrameSerializer altogether. Those who require LiveKit functionality should upgrade to the latest Pipecat version and switch to the recommended LiveKitTransport or another secure method provided by the framework. Additionally, always follow secure coding practices: never trust client-supplied data, and avoid Python pickle (or similar unsafe deserialization) in network-facing components.

Verified Sources

References

  • https://github.com/pipecat-ai/pipecat/security/advisories/GHSA-c2jg-5cp7-6wc7
  • https://github.com/pipecat-ai/pipecat/security/advisories/GHSA-c2jg-5cp7-6wc7

_Validated by the Lyrie Threat Intelligence Pipeline — 3 independent sources confirmed before publication. No speculation._

Lyrie Verdict

A vulnerability of this severity is exactly what Lyrie's anti-rogue-AI defense is built for: continuous, autonomous monitoring that doesn't wait for human reaction time.

Validated sources

  1. [1]NVD
  2. [2]GitHub Advisory
  3. [3]MITRE