PT-2026-32142

A Cross-site Scripting XSS vulnerability was identified in the from dict method of the AppLollmsMessage class in parisneo/lollms prior to version 2.2.0. The vulnerability arises from the lack of sanitization or HTML encoding of the content field when deserializing user-provided data. This allows ...

Exploit for Deserialization of Untrusted Data in Roundcube Webmail

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Exploit for CVE-2026-23869

⚡ CVE-2026-23869 — React2DoS Unauthenticated Remote Denial-o...

Exploit for CVE-2026-23869

⚡ CVE-2026-23869 — React2DoS Unauthenticated Remote Denial-o...

Exploit for Deserialization of Untrusted Data in Facebook React

markdown Summary CVE-2025-55182 Scanner is a high-perfor...

Deserialization of Untrusted Data

Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the session restoration process. An attacker can execute arbitrary memory deallocation by injecting a crafted session into the cache and triggering the application to call the relevant session restor...

CVE-2026-5507 Session Cache Restore — Arbitrary Free via Deserialized Pointer

When restoring a session from cache, a pointer from the serialized session data is used in a free operation without validation. An attacker who can poison the session cache could trigger an arbitrary free. Exploitation requires the ability to inject a crafted session into the cache and for the...

SUSE CVE-2026-5659

A vulnerability was found in pytries datrie up to 0.8.3. The affected element is the function Trie.load/Trie.read/Trie.setstate of the file src/datrie.pyx of the component trie File Handler. The manipulation results in deserialization. The attack can be launched remotely. The exploit has been mad...

Deserialization of Untrusted Data

Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data involving task management that allows authenticated users with task creation permissions to execute arbitrary code by injecting malicious properties into a serialized object. A user can bypass...

CVE-2026-39890 PraisonAI Affected by Remote Code Execution via YAML Deserialization in Agent Definition Loading

PraisonAI is a multi-agent teams system. Prior to 4.5.115, the AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags such as !!js/function and !!js/undefined. This allows an attacker to craft a malicious YAML file that, when parsed,...

CVE-2026-39890

Prais onAI’s AgentService.loadAgentFromFile parses YAML with js-yaml without disabling dangerous tags (e.g., !!js/function, !!js/undefined), enabling attacker to upload a malicious agent definition and achieve remote code execution on the server. Affected software: PraisonAI (before 4.5.115). Roo...

CVE-2026-39890 PraisonAI Affected by Remote Code Execution via YAML Deserialization in Agent Definition Loading

PraisonAI is a multi-agent teams system. Prior to 4.5.115, the AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags such as !!js/function and !!js/undefined. This allows an attacker to craft a malicious YAML file that, when parsed,...

CVE-2026-39890 PraisonAI Affected by Remote Code Execution via YAML Deserialization in Agent Definition Loading

PraisonAI is a multi-agent teams system. Prior to 4.5.115, the AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags such as !!js/function and !!js/undefined. This allows an attacker to craft a malicious YAML file that, when parsed,...

Deserialization of Untrusted Data

Overview PraisonAI is a PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent...

GHSA-32VR-5GCF-3PW2 PraisonAI Vulnerable to Remote Code Execution via YAML Deserialization in Agent Definition Loading

Summary The AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags such as !!js/function and !!js/undefined. This allows an attacker to craft a malicious YAML file that, when parsed, executes arbitrary JavaScript code. An attacker can...

Deserialization of Untrusted Data

Overview praisonai is a PraisonAI TypeScript AI Agents Framework - Node.js, npm, and Javascript AI Agents Framework Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the YAML deserialization in the loadAgentFromFile function. An attacker can execute...

PraisonAI Vulnerable to Remote Code Execution via YAML Deserialization in Agent Definition Loading

Summary The AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags such as !!js/function and !!js/undefined. This allows an attacker to craft a malicious YAML file that, when parsed, executes arbitrary JavaScript code. An attacker can...

Deserialization of Untrusted Data

Overview praisonaiagents is a Praison AI agents for completing complex tasks with Self Reflection Agents Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the YAML deserialization in the loadAgentFromFile function. An attacker can execute arbitrary code...

EUVD-2026-20638

PraisonAI Vulnerable to Remote Code Execution via YAML Deserialization in Agent Definition Loading...

CVE-2026-32590 Mirror-registry: remote code execution using pickle deserialization

A flaw was found in Red Hat Quay's handling of resumable container image layer uploads. The upload process stores intermediate data in the database using a format that, if tampered with, could allow an attacker to execute arbitrary code on the Quay server...