diff --git a/benchmarks/prompt-bench/.env.example b/benchmarks/Prompt2PwnBench/.env.example
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rename from benchmarks/prompt-bench/.env.example
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diff --git a/benchmarks/prompt-bench/README.md b/benchmarks/Prompt2PwnBench/README.md
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diff --git a/benchmarks/prompt-bench/main.py b/benchmarks/Prompt2PwnBench/main.py
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rename from benchmarks/prompt-bench/main.py
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diff --git a/benchmarks/prompt-bench/metrics.ipynb b/benchmarks/Prompt2PwnBench/metrics.ipynb
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diff --git a/benchmarks/prompt-bench/metrics_experiment/.gitkeep b/benchmarks/Prompt2PwnBench/metrics_experiment/.gitkeep
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rename from benchmarks/prompt-bench/metrics_experiment/.gitkeep
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diff --git a/benchmarks/prompt-bench/prompts.yml b/benchmarks/Prompt2PwnBench/prompts.yml
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rename from benchmarks/prompt-bench/prompts.yml
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diff --git a/benchmarks/prompt-bench/requirements.txt b/benchmarks/Prompt2PwnBench/requirements.txt
similarity index 100%
rename from benchmarks/prompt-bench/requirements.txt
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diff --git a/benchmarks/prompt-bench/results/.gitkeep b/benchmarks/Prompt2PwnBench/results/.gitkeep
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diff --git a/benchmarks/prompt-bench/server.py b/benchmarks/Prompt2PwnBench/server.py
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rename from benchmarks/prompt-bench/server.py
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diff --git a/benchmarks/prompt-bench/terminal_output/.gitkeep b/benchmarks/Prompt2PwnBench/terminal_output/.gitkeep
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rename from benchmarks/prompt-bench/terminal_output/.gitkeep
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diff --git a/benchmarks/prompt-bench/utils/helpers.py b/benchmarks/Prompt2PwnBench/utils/helpers.py
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rename from benchmarks/prompt-bench/utils/helpers.py
rename to benchmarks/Prompt2PwnBench/utils/helpers.py
diff --git a/benchmarks/prompt-bench/utils/portswigger_labs.json b/benchmarks/Prompt2PwnBench/utils/portswigger_labs.json
similarity index 100%
rename from benchmarks/prompt-bench/utils/portswigger_labs.json
rename to benchmarks/Prompt2PwnBench/utils/portswigger_labs.json
diff --git a/benchmarks/prompt-bench/utils/portswiggerbot.py b/benchmarks/Prompt2PwnBench/utils/portswiggerbot.py
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rename from benchmarks/prompt-bench/utils/portswiggerbot.py
rename to benchmarks/Prompt2PwnBench/utils/portswiggerbot.py
diff --git a/benchmarks/prompt-bench/utils/topics_prefixes.json b/benchmarks/Prompt2PwnBench/utils/topics_prefixes.json
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rename from benchmarks/prompt-bench/utils/topics_prefixes.json
rename to benchmarks/Prompt2PwnBench/utils/topics_prefixes.json
diff --git a/benchmarks/README.md b/benchmarks/README.md
index 17b35129..cc0cc14e 100644
--- a/benchmarks/README.md
+++ b/benchmarks/README.md
@@ -13,7 +13,7 @@ Currently, this are the benchmarks included:
 | [CTIBench](https://github.com/xashru/cti-bench) | Benchmark focused on evaluating LLM models' capabilities in understanding and processing Cyber Threat Intelligence (CTI) information. |
 | [PentestPerf](https://gitlab.com/aliasrobotics/alias_research/caiextensions/pentestperf) | An internal benchmarking framework that measures penetration testing capabilities of LLM models in a proprietary set of IT, OT and robotics scenarios. Reach out if you wish to cooperate in this direction. |
 | [CyberPII-Bench](https://github.com/aliasrobotics/cai/tree/main/benchmarks/cyberPII-bench/) | Benchmark designed to evaluate the ability of LLM models to maintain privacy and handle **Personally Identifiable Information (PII)** in cybersecurity contexts. Built from real-world data generated during offensive hands-on exercises conducted with **CAI (Cybersecurity AI)**. |
-| [Prompt-Bench](https://github.com/aliasrobotics/cai/tree/main/benchmarks/prompt-bench/) | Benchmark designed to evaluate a fully automated integration of LLMs (Large Language Models) with no HITL (Human-in-the-Loop) into web application attack scenarios using **CAI (Cybersecurity AI)**. Its goal is to test various prompting strategies and different LLMs to assess their effectiveness in identifying vulnerabilities within web applications. |
+| [Prompt2PwnBench](https://github.com/aliasrobotics/cai/tree/main/benchmarks/Prompt2PwnBench/) | Benchmark designed to evaluate a fully automated integration of LLMs (Large Language Models) with no HITL (Human-in-the-Loop) into web application attack scenarios using **CAI (Cybersecurity AI)**. Its goal is to test various prompting strategies and different LLMs to assess their effectiveness in identifying vulnerabilities within web applications. |