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Source channel @githubtrending · Post #15477 · Feb 7

#typescript#penetration_testing#pentesting#security_audit#security_automation#security_tools Shannon is a free, open-source AI pentester (Lite edition) that autonomously scans your web app's source code, finds vulnerabilities like injections and auth bypasses, then executes real exploits via browser to prove them. Launch with one Docker command using Anthropic API; it delivers pentester-grade reports with copy-paste PoCs in 1-1.5 hours for ~$50. It beat humans with 96% success on benchmarks, finding 20+ critical flaws in OWASP apps. You benefit by testing code daily on non-production setups, closing security gaps from yearly manual pentests, and shipping confidently without hackers striking first. https://github.com/KeygraphHQ/shannon

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djangoproject

@djangoproject · Post #240 · 01/25/2017, 10:03 AM

http://www.aparat.com/v/4nbc9 This talk gives a quick overview of Python's capabilities as a #data_processing and #machine_learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for #classification and #prediction#tasks.