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Source channel @githubtrending · Post #15601 · Apr 5

#yara#awesome_list#blueteam#blueteam_tools#cti#detection#detection_engineering#dfir#hacktools#incident_response#ioc#iocs#ir#ransomware#redteam#rmm#security#siem#soc#threat_hunting#threat_intelligence You can access comprehensive security detection lists and threat hunting resources that help identify malicious activity across your infrastructure. These curated collections include indicators like suspicious file hashes, domain names, IP addresses, and behavioral patterns organized by threat type—from ransomware and phishing to command-and-control servers and vulnerable drivers. By integrating these lists into your security tools like SIEM platforms and endpoint detection systems, you gain immediate visibility into known threats while learning detection methodologies through guides and YARA rules. This accelerates your ability to hunt for compromises, validate security controls, and stay current with emerging attack techniques without building detection logic from scratch. https://github.com/mthcht/awesome-lists

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『怀旧小屋』

@PainlessDestiny · Post #2587 · 02/10/2025, 04:07 AM

#相册3.8.2.11 #Bokeh 2.0.19.0.0 解锁文档编辑(包含去屏纹、曲面矫正和笔迹消除) 解锁提取表格(需要小爱视觉/AI扫描)

djangoproject

@djangoproject · Post #468 · 10/16/2017, 08:30 AM

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf Python For #Data_Science Cheat Sheet The Python interactive visualization library #Bokeh enables high-performance visual presentation of large datasets in modern #web browsers.

『怀旧小屋』

@PainlessDestiny · Post #2611 · 02/28/2025, 01:30 PM

#小米相册#相册#小米相册编辑 #小米澎湃AI引擎#文件管理#Bokeh 来自小米15Ultra的App们 不建议在MIUI或者HyperOS上用 不接收来自MIUI/HyperOS/低于安卓14的反馈 相册和文件管理在高分辨率的屏幕上显示异常,暂时不知道怎么修 对于小米相册: 功能应该是解锁全了 对于小米相册编辑: 水印还是和之前一样,你想要正常的显示,可以手动改照片的EXIF 如果你发现你拍的照片点不进画框,但是截图可以,建议你打开EXIF随便改一个数字他就可以点进画框了,暂时还不知道是咋回事 部分AI功能可能失效(因为小米服务器Boom了) 其他的功能也基本解锁全了 对于文件管理: 没啥说的,就是移植包 小米澎湃引擎和Bokeh是相关组件,建议安装

djangoproject

@djangoproject · Post #352 · 06/25/2017, 08:57 AM

https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh