seclab-taskflow-agent

GitHub Security Lab Taskflow Agent The Security Lab Taskflow Agent is an MCP-enabled multi-Agent framework for declarative, YAML-driven agentic workflows. Built on top of the OpenAI Agents SDK, it uses Pydantic for grammar validation and Jinja2 for template rendering. Core Concepts The Taskflow...

CVE-2025-68664

CVE-2025-68664 All I Want for Christmas Is Your Secrets: LangGrinch Strikes LangChain Core CVE-2025-68664 Author: Yarden Porat Cyata Research: LangGrinch Vulnerability in LangChain Published: https://cyata.ai/blog/langgrinch-langchain-core-cve-2025-68664/ Yesterday LangChain published a critical...

RegoMender: A Multi-Agent Framework for Automated Rego Policy Repair

Policy-as-Code PaC has emerged as a foundational paradigm in cloud-native systems. However, repairing Rego policies remains challenging due to their strict syntax, declarative semantics, and specific verification requirements. Existing automated program repair APR methods are mainly designed for...

AWE

AWE: Adaptive Agents for Dynamic Web Penetration Testing Akshat Singh Jaswal · Ashish Baghel Accepted at NDSS LAST-X 2026 Abstract Modern web applications are increasingly produced through AI-assisted development and rapid no-code deployment pipelines, widening the gap between accelerating softwa...

CLEANSTART-2026-EE95279 Pydantic AI is a Python agent framework for building applications and workflows with Generative AI

Security vulnerability affects the py3-pydantic-ai package. Pydantic AI is a Python agent framework for building applications and workflows with Generative AI...

CLEANSTART-2026-QG98494 Pydantic AI is a Python agent framework for building applications and workflows with Generative AI

Security vulnerability affects the py3-pydantic-ai package. Pydantic AI is a Python agent framework for building applications and workflows with Generative AI...

CLEANSTART-2026-BF25173 Pydantic AI is a Python agent framework for building applications and workflows with Generative AI

Security vulnerability affects the py3-pydantic-ai package. Pydantic AI is a Python agent framework for building applications and workflows with Generative AI...

One Pipeline Does Not Fit All: TAILOR, a Type- and State-Aware Framework for CVE Reproduction

Growing vulnerability disclosure and widespread software reuse increase security teams' need for reproducible evidence to diagnose vulnerabilities, validate patches, and build regression tests. Producing such evidence at scale requires automated end-to-end CVE reproduction. Existing methods...

SR-Fraud: An Outcome-Supervised Reflective LLM Agent Framework for Non-Stationary Payment Fraud Detection

Real-time payment fraud detection is a non-stationary streaming prediction problem: adversaries adapt before supervised labels mature, and localized burst attacks can cause losses before retraining. Production systems typically rely on tabular classifiers and rules, which can struggle to capture...

Autonomous AI Agents Compromise Thousands of Credentials in Under Six Hours

Threat actors are continuing to leverage artificial intelligence AI to streamline their operations, with one financially motivated hacking group employing an autonomous, multi-agent attack framework to carry out a large-scale credential harvesting campaign within six hours. Google Threat...

CVE-2026-62674 Omnigent: Shared Agent Bundle Overwrite Leads to Authenticated Runner RCE

Omnigent is an open-source AI agent framework and meta-harness for orchestrating coding agents. Prior to 0.3.0, PUT /sessions/sessionid/agent checks LEVELEDIT permission for a session but does not reject a bound shared or template agent whose agent.sessionid is None. An authenticated user with ed...

Defending Retrieval-Augmented Intrusion Detection against Knowledge Poisoning and Prompt Injection

Retrieval-Augmented Generation RAG enables large language models to classify network flows and generate human-readable incident reports by retrieving semantically similar historical traffic from a vector knowledge base. However, the retrieval layer introduces vulnerabilities to knowledge poisonin...

CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability Detection

Detecting source code vulnerabilities is increasingly difficult as modern security flaws are rooted in complex causal dependencies between execution flows, control conditions, and program states. Despite recent advances in Large Language Models LLMs and multi-agent frameworks, existing approaches...

agent-framework-mem0 (>=1.0.0b260319, <=1.0.0b260609), engramd (>=0.1.0, <=0.1.1) +5 more potentially affected by CVE-2026-7597 via mem0ai (1.0.11)

mem0ai PYPI version 1.0.11 is affected by a known vulnerability. The following packages have a transitive dependency on mem0ai and may be impacted: - agent-framework-mem0 =1.0.0b260319, =0.1.0, =0.3.0, =0.1.0b0, =0.2.0, =1.0.0.6, =1.0.6.10 Source cves: CVE-2026-7597 Source advisory:...

Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning

Recent LLM-based systems have shown promising capabilities for security-focused code analysis. Malware understanding, however, poses a distinct challenge: analysts must reconstruct high-level malicious behaviors under partial observability from sparse, dispersed evidence intertwined with benign...

A Knowledge-Based Multi-Agent Framework for Security Control Recommendation

Hardening IT on-premises environments can be a daunting task for teams without access to adequate cybersecurity expertise. In this regard, Decision Support Systems DSS with embedded expert knowledge can assist users by guiding them with security recommendations to meet their objectives. This work...

AutoJack Attack Lets One Web Page Hijack AI Agent for Host Code Execution

Microsoft researchers have detailed an exploit chain, named AutoJack, that turns an AI browsing agent into a delivery vehicle for remote code execution. Steer the agent to load an attacker's web page, and that page's JavaScript can reach a privileged local service on the same machine and spawn a...

Improper Authentication

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...

Three Heads Are Better Than One: A Multi-Perspective Reasoning Framework for Enhanced Vulnerability Detection

Automated vulnerability detection is crucial for enhancing software security by identifying potential flaws that attackers could exploit, thereby reducing the reliance on labor-intensive manual code audits. Recent advancements have shifted towards leveraging large language models LLMs for...

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

The rapid proliferation of LLM-based autonomous agents in real operating system environments introduces a new category of safety risk beyond content safety: behavior jailbreak, where an adversary induces an agent to execute dangerous OS-level operations with irreversible consequences. Existing...