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## https://sploitus.com/exploit?id=3F2A49D7-51F6-507C-8571-2D02A67EAE76
┌──(kali㉿kali)-[~/Desktop]
└─$ python -i mod-poc-msf-p3.PY
==================== Environment Check Step 0: Verify Operating System ====================
[+] Detection successful: Confirmed that the current system is Kali Linux
==================== Environment Check Step 1: Check if Ollama is Installed ====================
[+] Detection successful: Ollama is installed on the system
==================== AI Initialization Loading ====================
[*] Ollama service not detected; starting `ollama serve` in the current terminal
time=2026-07-27T08:20:21.259+08:00 level=INFO source=routes.go:1947 msg="server config" env="map [CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: LLAMA_ARG_FIT: LLAMA_ARG_FIT_TARGET: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:INFO OLLAMA_DEBUG_LOG_REQUESTS:false OLLAMA_EDITOR: OLLAMA_FLASH_ATTENTION:false OLLAMA_GO_TEMPLATE:true OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_IGPU_ENABLE: OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MAX_TRANSFER_STREAMS:4 OLLAMA_MODELS:/home/kali/. ollama/models OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NO_CLOUD:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:true ROCR_VISIBLE_DEVICES: http_proxy: https_proxy: no_proxy:]"
time=2026-07-27T08:20:21.259+08:00 level=INFO source=routes.go:1949 msg="Ollama cloud disabled: false"
time=2026-07-27T08:20:21.259+08:00 level=INFO source=images.go:883 msg="total blobs: 10"
time=2026-07-27T08:20:21.259+08:00 level=INFO source=images.go:890 msg="total unused blobs removed: 0"
time=2026-07-27T08:20:21.259+08:00 level=INFO source=routes.go:2004 msg="Listening on 127.0.0.1:11434 (version 0.32.4)"
time=2026-07-27T08:20:21.260+08:00 level=INFO source=runner.go:60 msg="discovering available GPUs..."
time=2026-07-27T08:20:21.262+08:00 level=INFO source=model_list_cache.go:112 msg="model list cache hydration complete" models=2 failures=0 elapsed=2. 574,794 ms
time=2026-07-27T08:20:21.518+08:00 level=INFO source=runner.go:405 msg="dropping integrated GPU; to enable, set OLLAMA_IGPU_ENABLE=1" id=0 library=Vulkan compute=0.0 name=Vulkan0 description="AMD Radeon Vega 8 Graphics (RADV RAVEN)" pci_id=0000:08:00.0
time=2026-07-27T08:20:21.518+08:00 level=INFO source=types.go:50 msg="inference compute" id=cpu library=cpu compute="" name=cpu description=cpu libdirs=ollama driver="" pci_id="" type="" total="5.7 GiB" available="3.8 GiB"
time=2026-07-27T08:20:21.518+08:00 level=INFO source=routes.go:2054 msg="vram-based default context" total_vram="0 B" default_num_ctx=4096
time=2026-07-27T08:20:21.652+08:00 level=INFO source=model_recommendations. go:177 msg="model recommendations cache sleep scheduled" wait=3h52m6.001909655s consecutive_failures=0
[AI is loading] 》》》 ======================================================================[GIN] 2026/07/27 - 08:20:23 | 200 | 532.718µs | 127.0.0.1 | GET "/api/tags"
[AI Loading] ======================================================================》》》 AI Loading Complete!
[+] Successfully connected to the Ollama AI API; the large model is ready!
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[1] Launch the interactive msfconsole
[2] AI-Metasploit custom IP and port scan
[3] Nmap custom port range scan
[4] Nmap: Enter only the IP address to quickly view the target’s open ports
[5] Exit the program (close the terminal window directly)
[6] Have a free-form conversation with the AI large model
[7] Hydra brute-force attack (custom dictionary + target IP)
[8] Sqlmap SQL injection vulnerability scan
[9] Wifite one-click wireless network test
[10] aircrack-ng handshake packet-based Wi-Fi password cracking
[11] airodump-ng: Capture traffic to generate CAP files
[12] arpspoof: ARP spoofing man-in-the-middle attack
[13] msfvenom: Generate a standard reverse-connection Trojan + msfconsole: Automatically listen for connections
[14] Nmap Internal Network Scan, Identifying Suspicious Camera/IoT Devices
[15] Reverse Tracing Trojan (Generate Traceback Trojan + Automatic IP Traceback Listening)
[16] One-Click Installation of All Program Dependencies
[17] Web Crawler + Backend Directory Brute-Force Scanning Tool
[18] AI-powered, fully automated tool for invoking multiple MSF modules to perform penetration scans on targets
[19] Brute-force tool for website login forms (username and password)
[20] DDoS stress testing tool (available only on authorized target machines)
java-mod-poc-msf>
The command to install ollmam is `curl -fsSL https://ollama.com/install.sh | sh`
If that doesn’t work, download the offline installer: `https://ollama.ac.cn/download/ollama-linux-amd64.tar.zst`
Command to install the offline package: `sudo tar -xzf ~/Desktop/ollama-linux-amd64.tar.zst -C /usr`