Last analyzed Sep 9, 2026

Language Model Security Database

Explore primary-source AI security research, evaluated models, attack techniques, and defensive evidence.

985 research findings · 1119 evaluated models

Findings

985

Models evaluated

1119

Paper-evaluated models

Any selected model can match.

Refine by category

Findings match every selected category.

Attack Type1 selected

Attack Context1 selected

Architecture Components

Attack Surface

Impact

Advanced filters

Published fromPublished throughEvidence status

Research indexed from arXiv.

Filtered research findings

1 entry

Matches every word across titles, descriptions, sources, affected systems, and models.

Context privilege escalation in AI agent harnesses

Published Sep 1, 2026Analyzed Sep 9, 2026Source: arXiv

Context assembly can promote repository, tool or skill content into higher-priority instructions or persistent state. The paper studies 12 pinned agent-harness versions.

What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness

Evaluated models: GPT-5.5, GPT-5.4-mini, Claude Sonnet 4.6+4 more

GPT-5.5
GPT-5.4-mini
Claude Sonnet 4.6
Claude Opus 4.6
Gemini 2.5 Flash
Gemini 2.5 Pro
DeepSeek V4 Flash

Research methodology

Entries summarize publicly available primary-source security research. Model names reflect only systems explicitly evaluated by the cited paper, and measurements are research-reported unless independent verification is stated.

Discovery and publication are separate: new papers enter a candidate queue, then require human review and explicit approval before publication. Updates follow that review process, not a guaranteed daily publishing schedule. “Last analyzed” is the newest analysis date among published entries; it does not mean that all recent research has been covered.