prismor v1.33.0

Prismor Runtime security hooks for Claude Code, Codex, and other AI coding agents. Prismor can also be used in observe mode to see agent session activity and dangerous actions in a local self-serve dashboard Website • Onboard with Skill !Trae / Trae CNht...

prismor v1.32.0

Prismor Runtime security hooks for Claude Code, Codex, and other AI coding agents. Prismor can also be used in observe mode to see agent session activity and dangerous actions in a local self-serve dashboard Website • Onboard with Skill !Trae / Trae CNht...

prismor v1.31.0

Prismor Runtime security hooks for Claude Code, Codex, and other AI coding agents. Prismor can also be used in observe mode to see agent session activity and dangerous actions in a local self-serve dashboard Website • Onboard with Skill !Trae / Trae CNht...

bromure agentic-coding-v4.4.2

Bromure Secure, ephemeral computing in disposable Linux VMs on macOS. → Full details, screenshots, and downloads at bromure.io This repo ships two sibling apps, both built on Apple's Virtualization.framework: Bromure — every browser session runs in a throwaway Linux VM. Close the window, the VM i...

prismor v1.30.3

Prismor Runtime security hooks for Claude Code, Codex, and other AI coding agents. Prismor can also be used in observe mode to see agent session activity and dangerous actions in a local self-serve dashboard Website • Onboard with Skill !Trae / Trae CNht...

IssueTrojanBench: Benchmarking AI Coding Agents against Malicious Issue Requests

AI coding agents powered by LLMs are increasingly integrated into real-world software development, where they generate, edit, and execute code with autonomous access to local files and tools. Coding agents inherit security risks from both the LLM backbone, where adversarial prompts, poisoned...

prismor v1.30.0

Prismor Runtime security hooks for Claude Code, Codex, and other AI coding agents. Prismor can also be used in observe mode to see agent session activity and dangerous actions in a local self-serve dashboard Website • Onboard with Skill !Trae / Trae CNht...

The Prover Is the Judge: Verified Security Software from AI Coding Agents in Ada/SPARK

AI coding agents produce code faster than humans can review it. In our approach, the prover is the judge of whether the code is correct. Under a verifier-driven loop, AI agents wrote and verified bare-metal security software in Ada/SPARK spanning classical and post-quantum cryptography, TLS 1.3,...

Baselines Before Architecture: Evaluating Coding Agents for Autonomous Penetration Testing

Recent autonomous penetration testing papers report high benchmark scores while adding multi-component security harnesses around frontier LLMs. Because these systems often change both architecture and backbone model, it is difficult to tell how much performance comes from the harness rather than...

Flounder 0.3.1

Flounder turns modern coding agents into an end-to-end security audit system. Give it an authorized target boundary - a repository, source tree, package, deployed clue, or prior run - and the agent can prepare the workspace, read the code and supporting material, map the attack surface, dig into...

Agent Data Injection Attacks Are Realistic Threats to AI Agents

AI agents act on behalf of user prompts, consuming external data and taking actions based on the agent context. Prior research on AI agent security has primarily focused on indirect prompt injection IPI. Its most well-studied category is instruction injection, where attacker-controlled untrusted...

GuardFall Exposes Open-Source AI Coding Agents to Decades-Old Shell Injection Risks

The safety check that is supposed to stop an AI coding agent from running a dangerous command can be walked straight past using a shell trick that has been public for decades. New research from Adversa AI, which is named the bypass GuardFall , found it works against ten of the eleven popular...

How Humans, Bots, and Agents Communicate about Vulnerabilities in Pull Requests

Developers may reference vulnerabilities in pull request discussions through both explicit identifiers, such as CVEs or GHSAs, and implicit security-related language e.g., "unauthorized access" or "SQL injection". Prior work has primarily focused on explicit identifiers, potentially overlooking...

Agentjacking: Researchers Show How One Fake Bug Report Can Hijack AI Coding Agents

Tenet researchers reveal how fake Sentry bug reports can trick AI coding agents into running code, exposing a new Agentjacking risk for developers today...

Trust Me, Import This: Dependency Steering Attacks Via Malicious Agent Skills

LLM-powered coding agents increasingly make software supply chain decisions. They generate imports, recommend packages, and write installation commands. Prior work showed that these systems can hallucinate non-existent package names, which attackers may register as malicious packages. In this...

MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents

Coding agents often pass per-prompt safety review yet ship exploitable code when their tasks are decomposed into routine engineering tickets. The challenge is structural: existing safety alignment evaluates overt requests in isolation, leaving models blind to malicious end-states that emerge from...

Supply-Chain Poisoning Attacks against LLM Coding Agent Skill Ecosystems

LLM-based coding agents extend their capabilities via third-party agent skills distributed through open marketplaces without mandatory security review. Unlike traditional packages, these skills are executed as operational directives with system-level privileges, so a single malicious skill can...

test-xss

test-xss "test." Install bash np...

QueryIPI: Query-Agnostic Indirect Prompt Injection on Coding Agents

Modern coding agents integrated into IDEs combine powerful tools and system-level actions, exposing a high-stakes attack surface. Existing Indirect Prompt Injection IPI studies focus mainly on query-specific behaviors, leading to unstable attacks with lower success rates. We identify a more sever...

Takedown: How It's Done in Modern Coding Agent Exploits

Coding agents, which are LLM-driven agents specialized in software development, have become increasingly prevalent in modern programming environments. Unlike traditional AI coding assistants, which offer simple code completion and suggestions, modern coding agents tackle more complex tasks with...