pipecat-ai pipecat up to 0.0.93 Pickle livekit.py deserialize deserialization

Summaryinfo

A vulnerability was found in pipecat-ai pipecat up to 0.0.93. It has been classified as critical. This affects the function deserialize of the file src/pipecat/serializers/livekit.py of the component Pickle Handler. The manipulation leads to deserialization. This vulnerability is uniquely identified as CVE-2025-62373. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability, which was classified as critical, has been found in pipecat-ai pipecat up to 0.0.93. This issue affects the function deserialize of the file src/pipecat/serializers/livekit.py of the component Pickle Handler. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

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.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-62373 since 10/10/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 0.0.94 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-209570). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• pipecat-ai

Name

• pipecat

Version

• 0.0.1
• 0.0.2
• 0.0.3
• 0.0.4
• 0.0.5
• 0.0.6
• 0.0.7
• 0.0.8
• 0.0.9
• 0.0.10
• 0.0.11
• 0.0.12
• 0.0.13
• 0.0.14
• 0.0.15
• 0.0.16
• 0.0.17
• 0.0.18
• 0.0.19
• 0.0.20
• 0.0.21
• 0.0.22
• 0.0.23
• 0.0.24
• 0.0.25
• 0.0.26
• 0.0.27
• 0.0.28
• 0.0.29
• 0.0.30
• 0.0.31
• 0.0.32
• 0.0.33
• 0.0.34
• 0.0.35
• 0.0.36
• 0.0.37
• 0.0.38
• 0.0.39
• 0.0.40
• 0.0.41
• 0.0.42
• 0.0.43
• 0.0.44
• 0.0.45
• 0.0.46
• 0.0.47
• 0.0.48
• 0.0.49
• 0.0.50
• 0.0.51
• 0.0.52
• 0.0.53
• 0.0.54
• 0.0.55
• 0.0.56
• 0.0.57
• 0.0.58
• 0.0.59
• 0.0.60
• 0.0.61
• 0.0.62
• 0.0.63
• 0.0.64
• 0.0.65
• 0.0.66
• 0.0.67
• 0.0.68
• 0.0.69
• 0.0.70
• 0.0.71
• 0.0.72
• 0.0.73
• 0.0.74
• 0.0.75
• 0.0.76
• 0.0.77
• 0.0.78
• 0.0.79
• 0.0.80
• 0.0.81
• 0.0.82
• 0.0.83
• 0.0.84
• 0.0.85
• 0.0.86
• 0.0.87
• 0.0.88
• 0.0.89
• 0.0.90
• 0.0.91
• 0.0.92
• 0.0.93

Website

• Product: https://github.com/pipecat-ai/pipecat/

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Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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