EresusSecurity

Archive

Research archive, page 12

Page 12 of 159 published articles on AI security, application security, supply chain, and real attack chains.

Deserialization Threats

Joblib Model Suspicious Code Execution Detected at Model Load Time

Identifies suspicious execution sequences during a Joblib model load indicating potentially obstructed deserialization threats.

2026-04-27Read
Deserialization Threats

GGUF Model Template Containing Arbitrary Code Execution Detected

GGUF formats using raw Jinja templates without sandboxing are susceptible to arbitrary code execution attacks. Always use isolated environments for...

2026-04-10Read
Deserialization Threats

GGUF Metadata Parsing Flaws (Llama.cpp Buffer Overflows)

Identifies highly critical buffer overflow attacks manipulating the internal metadata and vocabulary tensors of GGUF files to exploit C++ parsers like...

2026-04-27Read
GuideCybersecurityOWASP Top 10 for LLM Applications

Automated Red Teaming for Agentic AI Workflows: What to Test and What to Measure

A practical framework for testing prompt injection, tool abuse, data exposure, excessive agency, and recovery in enterprise agent workflows.

2026-08-11Read
Deserialization Threats

Extraction-Triggered Environment Override (Path Overwriting)

An advanced attack where a malicious model archive weaponizes extraction processes to overwrite critical environment-level objects, seizing control of...

2026-04-27Read
GuideCybersecurityNIST AI Risk Management Framework

AI Security Testing for GenAI Applications: From Prompt Tests to Runtime Controls

A practical guide to assessing GenAI applications, agent permissions, RAG data flows, prompt injection, output handling, and runtime evidence.

2026-08-11Read
Deserialization Threats

Execution of Arbitrary Code via Model Config Architecture Targets

Identifying advanced threats where malicious executables are obfuscated as configuration objects inside an ML model archive, triggering Remote Code...

2026-04-27Read
Deserialization Threats

Joblib / Scikit-Learn Arbitrary Code Execution (ACE)

Identifies insecure object deserialization attacks utilizing the popular Scikit-Learn Joblib persistency library, granting attackers remote execution...

2026-04-27Read
ResearchAI SecurityMeta Llama 4 Model Card

Llama 4 Security Assessment: Scout vs. Maverick Deployment Risks

How to assess Llama 4 Scout and Maverick in a real application: model safeguards, prompt injection, output validation, local deployment, and supply-chain controls.

2026-08-11Read