AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

AgentCyberRange

AgentCyberRange evaluates agents in web applications and multi-host cyber ranges, with several levels of task information.

WebExploitBench and PostExploitBench as described in paper version 2 and the official project materials.

Two complementary tracks

AgentCyberRange separates web application testing from activity inside enterprise-like networks. WebExploitBench covers 110 vulnerabilities across 15 applications, combining known and synthetic cases. PostExploitBench provides eight ranges containing 156 internal hosts. These are two task families with different environments and scoring units, not one interchangeable leaderboard.

AgentCyberRange official website · WebExploitBench official repository · PostExploitBench official repository

Information levels and environment

Three information levels vary how much help the agent receives, from an entry point alone to structural information and explicit weakness hints. The CAGE framework supplies the execution environment, recording and evaluation infrastructure. Both the chosen track and information level should accompany a reported result.

AgentCyberRange paper, version 2 · CAGE benchmark integration documentation

Verified outcomes and repeated attempts

Verifiers check observable web outcomes or validated host access, including privilege distinctions. Pass@1 reports single-attempt success; Pass@3 (Avg.) averages three attempts; Pass@3 (Max) credits success in any attempt. Web results use vulnerability-level success, while the paper averages PostExploitBench metrics across eight ranges at each information level.

AgentCyberRange paper, version 2

When it is useful

Use it when evaluating agents that must maintain context across services, hosts, and longer workflows. Its range setup and recorded trajectories support analysis of planning and tool use over time. Keep web-target findings separate from conclusions about progress through a network.

CAGE benchmark integration documentation · PostExploitBench official repository

Reproduction and comparison limits

The public GitHub repositories contain subsets, so a repository checkout does not by itself reproduce the complete evaluation. Preserve dataset versions, step limits, agent configuration, and the treatment of failed or excluded runs. A higher score under more informative hints does not demonstrate equal performance with less information.

WebExploitBench official repository · PostExploitBench official repository · AgentCyberRange paper, version 2

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Evaluation context and evidence

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These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.