33 matches found
Decepticon
Decepticon — Autonomous Red Team Agent "Another AI hacker? Let us guess — it runs nmap and writes a report." !Live hosted apphttps://img.shields.io/badge/Live%20App-app.decepticon.red-FF2D55?logo=roc...
Decepticon
Decepticon — Autonomous Red Team Agent "Another AI hacker? Let us guess — it runs nmap and writes a report." !Live hosted ap...
cve-2026-61732-lab
CVE-2026-61732 — Decepticon ChatML role-boundary forgery lab A self-contained, disposable lab that reproduces GHSA-g5f9-3xfg-p9mf / CVE-2026-61732: Decepticon , an autonomous red-team agent, wrapped web-crawl output into LLM messages without neutralizing ChatML special-token literals. On a...
Decepticon 1.5.4
Decepticon is an AI-powered autonomous red team framework designed to automate penetration testing and adversary simulation. It integrates AI agents with security tools to perform reconnaissance, vulnerability discovery, exploitation, and post-exploitation activities. The framework supports...
Decepticon 1.5.2
Decepticon is an AI-powered autonomous red team framework designed to automate penetration testing and adversary simulation. It integrates AI agents with security tools to perform reconnaissance, vulnerability discovery, exploitation, and post-exploitation activities. The framework supports...
Decepticon v1.2.2
Decepticon — Autonomous Red Team Agent "Another AI hacker? Let us guess — it runs nmap and writes a report." Commercial product demo ☁️ Don't want to self-host? Decepticon is live in the cloud. Skip the Docker setup — run autonomous red-team engagements right from your browser. Open-source CLI dem...
Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
SummaryDecepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
PYSEC-2026-4034 Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
SummaryDecepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
SummaryDecepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
PYSEC-2026-4032 Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
PYSEC-2026-4033 Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
PT-2026-105791
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
PT-2026-105790
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
PT-2026-105789
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...
Exploit for CVE-2026-61732
CVE-2026-61732 — Decepticon ChatML role-boundary forgery lab...
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Overview decepticon-sdk is a Decepticon plugin author SDK: protocols, fixtures, scaffolding Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component 'Injection' via UntrustedOutputMiddleware.formatenvelope and...
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Overview decepticon-core is a Decepticon contract layer: pure types, protocols, plugin contracts, registry primitives Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component 'Injection' via...
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Overview decepticon is an AI-powered autonomous red team testing framework Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component 'Injection' via UntrustedOutputMiddleware.formatenvelope and...
Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context
Summary Decepticon wraps web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK Bring Your Own Key deployment model, users configure their own LLM credentials to any OpenAI-compatible...