VMDragonSlayer

VMDragonSlayer Project will be public by mid-October Refactoring In Progress Advanced Virtual Machine Detection and Analysis Framework VMDragonSlayer is a comprehensive framework for analyzing binaries protected by Virtual Machine VM based protectors such as VMProtect 2.x/3.x, Themida, and custom...

trajan

Trajan: Escáner de Seguridad CI/CD Trajan escanea pipelines de CI/CD en busca de vulnerabilidades de seguridad que los atacantes utilizan para comprometer las cadenas de suministro de software. Es compatible con GitHub Actions, GitLab CI, Azure DevOps, Jenkins y JFrog. Qué hace Trajan analiza...

pyt

.. image:: https://travis-ci.org/python-security/pyt.svg?branch=master :target: https://travis-ci.org/python-security/pyt .. image:: https://readthedocs.org/projects/pyt/badge/?version=latest :target: http://pyt.readthedocs.io/en/latest/?badge=latest .. image::...

sBOMBPath

sBOMBPath Finds whether user input in your Python code can re...

foxguard v0.13.0

foxguard Fast local security scanning for code, secrets, dependencies, and crypto risk. Integrated into 0sec, the open cybersecurity harness. npx foxguard . Why 200+ built-in rules across 12 source languages, plus config and manifest checks Taint tracking for 14 languages, with cross-file analysi...

The Implications of Linguistic Illegibility for LLM Security

LLMs are trained to generate natural language. However, various strands of evidence indicate that an LLM's externalized linguistic outputs and mechanistically-extracted linguistic features can be an unreliable lens for understanding internal model computation. We introduce the term "linguistic...

Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement Architecture

AI agents performing cryptographic operations signing Git commits, authenticating API calls, issuing certificates currently store private keys in software-accessible locations: plaintext files, environment variables, or container memory. Any process with sufficient read privileges can extract the...

Understanding and Evaluating Claw-Like Agent Security through a Computer-Systems Lens

Claw-like AI agents e.g., OpenClaw are always-on processes with persistent access to credentials, files, tools, and external services. They take on system-level responsibilities -- installing packages, maintaining state, scheduling subtasks, and mediating I/O -- making security failures far more...

Demystifying and Detecting Agentic Workflow Injection Vulnerabilities in GitHub Actions

GitHub Actions is increasingly used to deploy LLM-based agents for repository-centric tasks such as issue triage, pull-request review, code modification, and release assistance. These agentic workflows extend traditional CI/CD automation with agentic capabilities but also create a new injection...

Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents

Autonomous Large Language Model LLM agents are increasingly deployed to conduct complex tasks by interacting with external tools, APIs, and memory stores. However, processing untrusted external data exposes these agents to severe security threats, such as indirect prompt injection and unauthorize...

Securing AI Agents with Information-Flow Control

As AI agents become increasingly autonomous and capable, ensuring their security against vulnerabilities such as prompt injection becomes critical. This paper explores the use of information-flow control IFC to provide security guarantees for AI agents. We present a formal model to reason about t...

Mozilla: Cross-Origin Image leak via Offscreen Canvas

The Mozilla Foundation Security Advisory describes this flaw as: Offscreen Canvas did not properly track cross-origin tainting, which could be used to access image data from another site in violation of same-origin policy...

Mozilla: Offscreen Canvas could have bypassed cross-origin restrictions

The Mozilla Foundation Security Advisory describes this flaw as: Offscreen Canvas did not properly track cross-origin tainting, which could have been used to access image data from another site in violation of same-origin policy...

SUSE CVE-2018-4278

In Safari before 11.1.2, iTunes before 12.8 for Windows, iOS before 11.4.1, tvOS before 11.4.1, iCloud for Windows before 7.6, sound fetched through audio elements may be exfiltrated cross-origin. This issue was addressed with improved audio taint tracking...

GitHub Security Lab: codeql-go: Expand Go standard library taint-tracking models to 63 packages, 554 models and 733 tests (from ~13 packages, ~103 models, ~50 tests)

This bug was reported directly to GitHub Security Lab...

DEBIAN-CVE-2018-4278

In Safari before 11.1.2, iTunes before 12.8 for Windows, iOS before 11.4.1, tvOS before 11.4.1, iCloud for Windows before 7.6, sound fetched through audio elements may be exfiltrated cross-origin. This issue was addressed with improved audio taint tracking...

CVE-2018-4278

In Safari before 11.1.2, iTunes before 12.8 for Windows, iOS before 11.4.1, tvOS before 11.4.1, iCloud for Windows before 7.6, sound fetched through audio elements may be exfiltrated cross-origin. This issue was addressed with improved audio taint tracking...

PT-2018-16519

Name of the Vulnerable Software and Affected Versions Safari versions prior to 11.1.2 iTunes versions prior to 12.8 for Windows iOS versions prior to 11.4.1 tvOS versions prior to 11.4.1 iCloud for Windows versions prior to 7.6 Description The issue allows sound fetched through audio elements to ...

UBUNTU-CVE-2018-4278

In Safari before 11.1.2, iTunes before 12.8 for Windows, iOS before 11.4.1, tvOS before 11.4.1, iCloud for Windows before 7.6, sound fetched through audio elements may be exfiltrated cross-origin. This issue was addressed with improved audio taint tracking...

Apache Struts2 S2-052 (CVE-2017-9805)

In this post I'll describe how I customized a standard lgtm query to find a remote code execution vulnerability in Apache Struts. A more general announcement about this vulnerability can be found here. It has been assigned CVE-2017-9805, a security bulletin can be found here on the Struts website...