CVE-2025-55136

ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...

CVE-2025-55136

ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...

CVE-2025-55136

ERC (Emotion Recognition in Conversation) up to version 0.3 is affected by insecure deserialization via jsonpickle when handling serialized objects. The vulnerability arises from unsafe deserialization in the serialization path. Public mentions in Red Hat, NVD, OSV, and PT-Security records confir...

CVE-2025-55136

ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...

CVE-2025-55136

ERC aka Emotion Recognition in Conversation through 0.3 has insecure deserialization via a serialized object because jsonpickle is used...

Emotion Recognition in Coversation 代码问题漏洞

Emotion Recognition in Coversation is an application by the individual developer Taewoon Kim. A code issue vulnerability exists in Emotion Recognition in Coversation version 0.3 and earlier, which stems from the use of jsonpickle leading to unsafe deserialization...

PT-2025-32270 · Erc · Erc

Name of the Vulnerable Software and Affected Versions: ERC aka Emotion Recognition in Conversation versions through 0.3 Description: ERC aka Emotion Recognition in Conversation is susceptible to insecure deserialization due to the use of jsonpickle when handling serialized objects. Recommendation...

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification

The proliferation of drones in civilian airspace has raised urgent security concerns, necessitating robust real-time surveillance systems. In response to the 2025 VIP Cup challenge tasks - drone detection, tracking, and payload identification - we propose a dual-stream drone monitoring framework...

Radio Adversarial Attacks on EMG-Based Gesture Recognition Networks

Surface electromyography EMG enables non-invasive human-computer interaction in rehabilitation, prosthetics, and virtual reality. While deep learning models achieve over 97% classification accuracy, their vulnerability to adversarial attacks remains largely unexplored in the physical domain. We...

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In-Context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems

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Non-Adaptive Adversarial Face Generation

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Device recognition is vital for security in wireless communication systems, particularly for applications like access control. Radio Frequency Fingerprint Identification RFFI offers a non-cryptographic solution by exploiting hardware-induced signal distortions. This paper proposes HyDRA, a Hybrid...

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BlowPrint: Blow-Based Multi-Factor Biometrics for Smartphone User Authentication

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