#grayscale");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}.rendered_html .bk-root .bk-tooltip table,.rendered_html .bk-root .bk-tooltip tr,.rendered_html .bk-root .bk-tooltip th,.rendered_html .bk-root .bk-tooltip td{border:none;padding:1px;}.bk-root .bk-toolbar-hidden{visibility:hidden;opacity:0;transition:visibility 0.3s linear, opacity 0.3s linear;}.bk-root .bk-toolbar{display:flex;flex-wrap:nowrap;align-items:center;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-toolbar .bk-logo{flex-shrink:0;}.bk-root .bk-toolbar.bk-above,.bk-root .bk-toolbar.bk-below{flex-direction:row;justify-content:flex-end;}.bk-root .bk-toolbar.bk-above .bk-logo,.bk-root .bk-toolbar.bk-below .bk-logo{order:1;margin-left:5px;margin-right:0px;}.bk-root .bk-toolbar.bk-left,.bk-root .bk-toolbar.bk-right{flex-direction:column;justify-content:flex-start;}.bk-root .bk-toolbar.bk-left .bk-logo,.bk-root .bk-toolbar.bk-right .bk-logo{order:0;margin-bottom:5px;margin-top:0px;}.bk-root .bk-toolbar-button{width:30px;height:30px;cursor:pointer;background-size:60% 60%;background-origin:border-box;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-toolbar-button:hover,.bk-root .bk-tool-overflow:hover{background-color:rgba(192, 192, 192, 0.15);}.bk-root .bk-toolbar-button:focus,.bk-root .bk-tool-overflow:focus,.bk-root .bk-toolbar-button:focus-visible,.bk-root .bk-tool-overflow:focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-toolbar-button::-moz-focus-inner,.bk-root .bk-tool-overflow::-moz-focus-inner{border:0;}.bk-root .bk-above .bk-toolbar-button{border-bottom:2px solid transparent;}.bk-root .bk-above .bk-toolbar-button.bk-active{border-bottom-color:#26aae1;}.bk-root .bk-below .bk-toolbar-button{border-top:2px solid transparent;}.bk-root .bk-below .bk-toolbar-button.bk-active{border-top-color:#26aae1;}.bk-root .bk-right .bk-toolbar-button{border-left:2px solid transparent;}.bk-root .bk-right .bk-toolbar-button.bk-active{border-left-color:#26aae1;}.bk-root .bk-left .bk-toolbar-button{border-right:2px solid transparent;}.bk-root .bk-left .bk-toolbar-button.bk-active{border-right-color:#26aae1;}.bk-root .bk-divider{content:" ";display:inline-block;background-color:lightgray;}.bk-root .bk-above .bk-divider,.bk-root .bk-below .bk-divider{height:10px;width:1px;}.bk-root .bk-left .bk-divider,.bk-root .bk-right .bk-divider{height:1px;width:10px;}.bk-root .bk-tool-overflow{color:gray;display:flex;align-items:center;}.bk-root .bk-above .bk-tool-overflow,.bk-root .bk-below .bk-tool-overflow,.bk-root .bk-horizontal .bk-tool-overflow{width:15px;height:30px;flex-direction:row;}.bk-root .bk-left .bk-tool-overflow,.bk-root .bk-right .bk-tool-overflow,.bk-root .bk-vertical .bk-tool-overflow{width:30px;height:15px;flex-direction:column;}.bk-root .bk-tool-icon-copy-to-clipboard{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUSDBoBvcHQeQAAAG9JREFUWMNjXLhsJcNAAiaGAQYwB/xHwh/Q+ITEkfHQCwEWND4jmeb8H/JpgBwfI6cNBhLSEkqaGXRpgFRAcZoZsmlg1AGjDhh1wKgDRh0w6gCaVcf/R2wIkNqw+D9s0wADvUNiyIYA47BJAwPuAAAj/Cjd0TCN6wAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-replace-mode{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC");}.bk-root .bk-tool-icon-append-mode{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-intersect-mode{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC");}.bk-root .bk-tool-icon-subtract-mode{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-clear-selection{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-box-select{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-box-zoom{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-zoom-in{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-zoom-out{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-help{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-hover{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4oVHp0SwAAAQJJREFUWMPtlsENgzAMRb8RQ5VJItFDOgaZAMaAA0iZpN3KPZSoEEHSQBCViI/G8pfNt/KAFFcPshPdoAGgZkYVVYjQAFCyFLN8tlAbXRwAxp61nc9XCkGERpZCxRDvBl0zoxp7K98GAACxxH29srNNmPsK2l7zHoHHXZDr+/9vwDfB3kgeSB5IHkgeOH0DmesJjSXi6pUvkYt5u9teVy6aWREDM0D0BRvmGRV5N6DsQkMzI64FidtI5t3AOKWaFhuioY8dlYf9TO1PREUh/9HVeAqzIThHgWZ6MuNmC1jiL1mK4pAzlKUojEmNsxcmL0J60tazWjLZFpClPbd9BMJfL95145YajN5RHQAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-crosshair{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-lasso-select{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-pan{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4lKssI9gAAAOtJREFUWMPVll0KwyAMgNPgoc0JzDX2Mtgp3csKErSamGabIEUo/T6bHz0ezxdsjPJ5kvUDaROem7VJAp3gufkbtwtI+JYEOsHNEugIN0mgM1wtsVoF1MnyKtZHZBW4DVxoMh6jaAW0MTfnBAbALyUwCD6UwEB4VyJN4FXx4aqUAACgFLjzrsRP9AECAP4Cm88QtJeJrGivdeNdPpko+j1H7XzUB+6WYHmo4eDk4wj41XFMEfBZGXpK0F/eB+QhVcXslVo7i6eANjF5NYSojCN7wi05MJNgbfKiMaPZA75TBVKCrWWbnGrb3DPePZ9Bcbe/QecAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-xpan{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4X4hxZdgAAAMpJREFUWMPtlsEKwjAMhr/pwOOedINJe/PobWXCfAIvgo/nA4heOiilZQqN2yE5lpD/I38SWt3uD9aMHSuHAiiAAmwaYCqoM/0KMABtQYDW11wEaHyiEei28bWb8LGOkk5C4iEEgE11YBQWDyHGuAMD0CeS30IQPfACbC3o+Vd2bOIOWMCtoO1mC+ap3CfmoCokFs/SZd6E0ILjnzrhvFbyEJ2FIZzXyB6iZ3AkjITn8WOdSbbAoaD4NSW+tIZdQYBOPyQKoAAKkIsPv0se4A/1UC0AAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-ypan{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4anK0lywAAAMVJREFUWMPtlzEKwzAMRX/S7rlpIMXeOnaLaME36FLo8XqCdNFghGljyc4kgQi2Q/SUj0F/eL7eMMTKz6j9wNlYPGRrFcSoLH4XxQPvdQeYuPOlcLbw2dRTgqvoXEaolWM0aP4LYm0NkHYWzyFSSwlmzjw2sR6OvAXNwgEcwAEcwAEcwAEcoGYk20SiMCHlmVoCzACoojEqjHBmCeJOCOo1lgPA7Q8E8TvdjMmHuzsV3NFD4w+1t+Ai/gTx3qHuOFqdMQB8ASMwJX0IEHOeAAAAAElFTkSuQmCC");}.bk-root .bk-tool-icon-range{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-polygon-select{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-redo{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-reset{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-save{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4UexUIzAAAAIRJREFUWMNjXLhs5X+GAQRMDAMMWJDYjGhyf7CoIQf8x2H+f0KGM9M7BBio5FNcITo408CoA0YdQM1cwEhtB/ylgqMkCJmFLwrOQguj/xTg50hmkeyARAYGhlNUCIXjDAwM0eREwTUGBgbz0Ww46oBRB4w6YNQBow4YdcCIahP+H5EhAAAH2R8hH3Rg0QAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-tap-select{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-undo{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-wheel-pan{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-wheel-zoom{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-box-edit{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4QfHjM1QAAAGRJREFUWMNjXLhsJcNAAiaGAQYsDAwM/+lsJ+OgCwGsLqMB+D8o08CoA0YdMOqAUQewDFQdMBoFIyoN/B/U7YFRB7DQIc7xyo9GwbBMA4xDqhxgISH1klXbDYk0QOseEeOgDgEAIS0JQleje6IAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-freehand-draw{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-poly-draw{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-point-draw{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEiERGWPELgAAA4RJREFUWMO1lr1uG1cQhb9ztdRSP7AF1QxgwKlcuZSqRC9gWUUUINWqTh5AnaFOnVPEteQmRuhCURqWsSqqc9IolREXdEvQBElxtdw7KURSFEVKu4w8wAKLxdw9Z+bMnRmZGXfZ29//II8th4WwGVNyIoQLYB5vxA9Caq04iUd9A+7ZlsNC2I7TdSd2hZXMJKlnTqp9jtl/GBaqoyQ0noFKpUIzBicYYc+DEFpxkglc4oVJa5gvDn8v1xV2irG3FM4NSVwjUKlUaMcpJhCGmSEJQ6QGD8M5WnHCd8+f3QCXpPLx8WNwv0j6Bm9FMK7FJ3WBE+R/2t7c/GBmFvSBrzRTCsyTDjXrxUgEMtpxynJYmJoBJ4VAybwVARgvL7Oik0okCodnKpVKX7P0leiVMb0VvbJT+upznK4vh0GIeQwwQStJkHQD3MwsCALTJRG7Qrdrj5m/djgYaIa0hlkRdJk26XEgC9txurccBtVW3IudBImmZuACUP+ZlIDBt9FKcubYNTcAH/X0RYM1E7utJPlqe+uZzPxUcEkiSS4sTT95n15Mud0xWC0o2PAWOCdK3KYZlFxfM+tHOcnMzNr1es18ug+cgsVjP4yBU/Ppfrter1m/+l0+zYygML1xRVHU7TSb1cSzBzoBzszsH+AMdJJ49jrNZjWKou6wBnwOzcyndBpNbuueURR1Dw8Pq35p9cc5p/Dy9Dypt7jXrtdGwQECS9NPhr6Gq6txUzNigE6zydLK6lTw12/KT4FGFEUfJX2YJNONq5tVs4ODA7sD/DnwJ/BoADZuE3tHFs12dna6d4C/BI6AlbyzI8ii2TTw12/KK33gb2cdXsNZoAntbZC2SeO4c9592k/5eNQbiwvFd1kJuFGwLJr1wSPg/SwpvyFBHufOeXcFeAlE97U/uCxOY+P3b+Bn4B3Q+L8EdJfD4a+/AbC4UBzPxiPg3wlHZquB28Cn2IuR9x3gr3uV4DbwfvSDOvi4uFA8BDZmIRHkjHpS9Ht9iRqd8+5G3g05mAGcQbsdiX5QJ428G7Kygo8XYdb1/K4NWVmjzkNge2sz84bs+ELmpDDLtqWsNZBXgvmw8CTtpWVMT7x5YWBjLARnwZfKQNYN2U2LPvrh+5nBt7c2M2/It9bArCTKR8eZN+SJ13AScPnoODeRdqNenH+wul5w2gUr2WUjMFAt8bZ/0axX/wNnv4H8vTFb1QAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-poly-edit{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-line-edit{background-image:url("data:image/png;base64,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");}.bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:" ";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:" ";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:" ";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:" ";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}
Dealing with a great amount of data can be time consuming, thus using Python can be very powerful to help analysts sort information and extract the most relevant data for their investigation. The open-source tools library, MSTICpy, for example, is a tool dedicated to threat intelligence. It aims to help threat analysts acquire, enrich, analyze, and visualize data. In this notebook, we will explore the data in depth using Python. We will dissect the available information and learn more about their process and operation. Eventually, we will see how we can take advantage of the available information to pivot and hunt for additional context and threat intelligence using the MSTICpy library.
This notebook will allow analysts to reuse the code and continue to search for the extracted information on their own. Additionally, it offers an out-of-the-box methodology for analyzing chat logs, extracting indicators of compromise, and improving threat intelligence and defense process using Python.
Through this notebook, we will explore the Conti Jabber leaks and provide a workflow of analysis using Python.
The notebook is composed of the following parts:
To use this notebook several library must be installed here is the list of the module, you can install them using pip.
The leaked chat logs are written in the Russian language, requiring the data to be translated to English for analysis. We adopted the translation methodology published here..
Since raw Jabber logs are saved using a file per day, they will need to be compiled in one JSON file so they can easily be manipulated with Python.
cat *.json | jq -cr > ../merged.json
Once the data is merged, they can be translated using the deep translator library.
# Code borrowed and adapted from @azobec
import json
from deep_translator import GoogleTranslator
# Creating the list
chatList = []
# opening the file merged.json
with open('merged2.json', encoding="utf8") as f:
for jsonObj in f:
logs = json.loads(jsonObj)
chatList.append(logs)
# Creating and adding the translated logs into translated_log.json.
with open('translated_log3.json', 'a+', encoding="utf8") as outfile:
outfile.write("[")
for line in chatList:
try:
translation = GoogleTranslator(source='auto', target='en').translate(line["body"])
line["LANG-EN"] = translation
# When a translation is not possible we handle the error and write a message
except Exception as e:
line["LANG-EN"] = "Error during Translation"
outfile.write(json.dumps(line, ensure_ascii = False).encode('utf8').decode())
outfile.write(",")
outfile.write("]")
After the logs are translated and loaded into a new file, it’s then possible to load the data into a dataframe for manipulation and exploration.
# Loading the data in a dataframe
import codecs
import pandas as pd
from IPython.display import Image
df = pd.read_json(codecs.open('translated_Log2.json', 'r', 'utf-8'))
# Print some information about the loaded dataframe
df.head()
Russian slang words not properly translated by the automated process can be translated by creating a dictionary. A dictionary off a list proposed here was used in this case to correctly translate the slang:
# Creating a dictionnary with the translated slang words
slang = {"Hell": "AD", "YES": "DA", "wheelbarrow": "host", "cars": "hosts", "cue balls": "bitcoin", "credits":"credentials", "vmik":"WMIC", "grid":"network", "facial expressions":"mimikatz", "firework":"firewall", "whining":"SQL", "school":"SQL", "balls":"shares", "zithers":"Citrix", "food":"FUD", "silkcode":"shellcode", "kosh":"cash", "toad":"jabber", "booze":"Emotet", "the trick or trick": "Trickbot", "BC":"BazarBackdoor", "backpack":"Ryuk", "lock":"ransomware"}
# Replacing the words in the translated column
df['LANG-EN'] = df['LANG-EN'].replace(slang, regex=True)
df['LANG-EN'].head(10)
# Static graph, you can double click on the graphic to get more details
df['ts'] = pd.to_datetime(df['ts']).dt.date
df['ts'] = pd.to_datetime(df['ts'])
# Sorting the data by datetime
data = df.groupby(df['ts'])['from'].count()
data.plot(kind='bar',figsize=(100,10),legend=True, title="Number of discussion per day")
# Dynamic graph using Bokeh
import pandas_bokeh
from bokeh.models import ColumnDataSource, HoverTool
from bokeh.plotting import figure, show
df['ts'] = pd.to_datetime(df['ts']).dt.date
df['ts'] = pd.to_datetime(df['ts'])
pandas_bokeh.output_notebook()
pd.set_option('plotting.backend', 'pandas_bokeh')
# Filter the result to manipulate only timestamp and number of discussion per day
data2 = pd.DataFrame(df.groupby(df['ts'])['from'].count().reset_index())
# Loading the filtered dataset into ColumnDataSource
source = ColumnDataSource(data2)
# Creating the figure with the size
p = figure(x_axis_type='datetime', plot_width=900, plot_height=500)
# Adding the hover tools
p.add_tools(HoverTool(tooltips=[('Date', '@ts{%F}'), ('Nb of discussion','@from{int}')],
formatters={'@ts':'datetime'}, mode='mouse'))
# Legend
p.title.text ='Activity discussion per day'
p.xaxis.axis_label = 'Date'
p.yaxis.axis_label = 'Number of discussion'
# diagram
p.line(x='ts', y='from', line_width=2, color='#851503', source=source)
# print the diagram
show(p)
Reading all the leak can be a bit time consuming so it could be interesting to build a simple search engine to search for specific occurence of a string into the chat logs. That way we can filter to specific data of interest such as bitcoin, usernames, malware name, exploit, CVE... to name a few.
# Import lib
import ipywidgets as widgets
from textsearch import TextSearch
from IPython.display import display
pd.set_option('display.max_colwidth', None)
#configure widget
keyword = widgets.Text(
value='',
placeholder='Enter your search',
description='Search:',
disabled=False
)
display(keyword)
# Configure click button
button = widgets.Button(description="search", icon='check') # (FontAwesome names without the `fa-` prefix))
display(button)
output = widgets.Output()
# Searching for the input word
@output.capture()
def userInput(b):
# store the search result in a list
result = []
print("[+] Searching the chat for occurence of: " + keyword.value)
# look for the string into the translated column
for i in df['LANG-EN']:
ts = TextSearch(case="ignore", returns="match")
words = keyword.value
ts.add(words)
# store the result into the list
if ts.findall(str(i)):
result.append(i)
# Filter and print the result
result = list(dict.fromkeys(result))
print('\n'.join(map(str, result)))
# get the input word
button.on_click(userInput)
display(output)
When analyzing chat logs, identifying the number of users and analyzing the most active ones can provide insight into the size of the group and roles of users within it. Using Python, the list of users can be extracted and saved in a text file.
# Extracting all the users
userfrom = df['from']
userto = df['to']
# Dropping duplicate and concatenate dataframe
user = pd.concat([userfrom.drop_duplicates(), userto.drop_duplicates()], ignore_index=True)
user = user.drop_duplicates()
# Save userlist to txt for additional hunting
user.to_csv(r'IOC\userlist.txt', header=None, index=None, sep='\t', mode='a')
# Static graphic
%matplotlib inline
df.groupby('from').count().ts.sort_values(ascending=False).iloc[:50].plot.barh(figsize=(15,10), title="Most active users")
# Filtering and extracting the 10 most active users
user = pd.DataFrame(df.groupby('from').count().ts.sort_values(ascending=False).reset_index())
user.columns = user.columns.str.replace('ts', 'count')
user.head(10)
# Transforming the data, the weight corresponding to the number of message send between 2 users.
df_weight = df.groupby(["from", "to"], as_index=False).count()
df_weight = df_weight.drop(['body','LANG-EN'], axis = 1)
df_weight.columns = df_weight.columns.str.replace('ts', 'weight')
df_weight.head(5)
# Importing the pyvis lib
from pyvis.network import Network
# Configuring the graph option
conti_net = Network(height='800px', width='100%', bgcolor='#222222', font_color='white', notebook = True)
# set the physics layout of the network, here we used the barnes hut
conti_net.barnes_hut()
conti_data = df_weight
# Split the data
sources = conti_data['from']
targets = conti_data['to']
weights = conti_data['weight']
edge_data = zip(sources, targets, weights)
# Browsing the data to construct the network graph
for e in edge_data:
src = e[0]
dst = e[1]
w = e[2]
conti_net.add_node(src, src, title=src)
conti_net.add_node(dst, dst, title=dst)
conti_net.add_edge(src, dst, value=w*10)
neighbor_map = conti_net.get_adj_list()
# add user data to node hover data
for node in conti_net.nodes:
node['title'] += ' <br> - Discussion with:<br>' + '<br>'.join(neighbor_map[node['id']])
node['value'] = len(neighbor_map[node['id']])
conti_net.show('conti_leak.html')
Besides processing chat logs to analyze user activity and connections, Python can also be used to extract and analyze threat intelligence. This section shows how the MSTICPy library can be used to extract IOCs and how it can be used for additional threat hunting and intelligence.
# Imports and configuration
from IPython.display import display, HTML
from msticpy.sectools import IoCExtract
import matplotlib.pyplot as plt
import sys
import warnings
from msticpy import init_notebook
init_notebook(namespace=globals());
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 50)
pd.set_option('display.max_colwidth', 100)
MSTICPy is a Python library used for threat investigation and threat hunting. The library can connect to several threat intelligence providers, as well as Microsoft tools like Microsoft Sentinel. It can be used to query logs and to enrich data. It’s particularly convenient for analyzing IOCs and adding more threat contextualization.
# We clean the dataframe to remove None value
df['LANG-EN'] = df['LANG-EN'].fillna('').apply(str)
# Initiate the IOC extractor
ioc_extractor = IoCExtract()
ioc_df = ioc_extractor.extract(data = df, columns = ['LANG-EN'])
display(HTML("<h4>IoC patterns found in chat logs.</h4>"))
display(ioc_df.head(10))
# Extracting BTC addresses
# Adding the regex
extractor = IoCExtract()
extractor.add_ioc_type(ioc_type='btc', ioc_regex='^(?:[13]{1}[a-km-zA-HJ-NP-Z1-9]{26,33}|bc1[a-z0-9]{39,59})$')
# Check that it added ok
print(extractor.ioc_types['btc'])
# Use it in our data set and create a new df
btc_df = ioc_extractor.extract(data=df, columns=['LANG-EN']).query('IoCType == \'btc\'')
display(HTML("<h4>BTC addresses found in chat logs.</h4>"))
display(btc_df.head(10))
display(HTML("<h4>Merging, filtering and sorting</h4>"))
# Merging dataframe
ioc_df = pd.concat([ioc_df, btc_df], axis=0).drop_duplicates(subset='Observable').reset_index(drop=True)
#ioc_df = ioc_df.drop_duplicates(subset='Observable', inplace=True)
# Removing IPV6 rows because they are false positive
ioc_df = ioc_df[ioc_df["IoCType"].str.contains("ipv6") == False]
ioc_df
# Save IOC to CSV
ioc_df.to_csv("IOC\\full_ioc.csv")
# Overview of the IOC in the dataset
ioc_df["IoCType"].value_counts()
ioc_df = ioc_df[ioc_df["Observable"].str.contains("privnote.com")==False ]
ioc_df = ioc_df[ioc_df["Observable"].str.contains("qaz.im")==False ]
ioc_df
df_ip = ioc_df.loc[ioc_df["IoCType"] == "ipv4"]
df_ip['IoCType'].count()
# load all configured providers
ti_lookup = TILookup(providers = ["VirusTotal", "GreyNoise", "OTX"])
ti_lookup.provider_status
# Don't forget to reload the providers once you specified the api key in the config file.
ti_lookup.reload_providers()
ip_intel = ti_lookup.lookup_iocs(data = df_ip["Observable"])
ip_intel.head(10)
# Saving the IP into a csv file.
ip_intel.to_csv("IOC\\ipintel.csv")
# Removing the ip with severity == information
ip_intel = ip_intel[ip_intel["Severity"].str.contains("information")==False ]
# You can also make a request for a single IP.
result = ti_lookup.lookup_ioc(observable="203.76.105.227")
ti_lookup.result_to_df(result).T
from msticpy.nbtools.ti_browser import browse_results
ip_intel = pd.read_csv("IOC\\ipintel.csv")
ti_selector = browse_results(data = ip_intel, height="200px")
ti_selector
# Getting the geo result for one ip
msticpy.settings.refresh_config()
iplocation = GeoLiteLookup()
loc_result, ip_entity = iplocation.lookup_ip(ip_address = '203.76.105.227')
display(ip_entity[0])
# Creating the map using the folium module
iploc = []
for ip in ip_intel["Ioc"]:
loc_result, ip_entity = iplocation.lookup_ip(ip_address = ip)
iploc += ip_entity
folium_map = FoliumMap(zoom_start = 2)
folium_map.add_ip_cluster(ip_entities = iploc, color = 'red')
folium_map.center_map()
folium_map
# Filtering URL
url_intel = ioc_df.loc[(ioc_df['IoCType'] == "url")]
url_intel
# Saving to csv file
url_intel.to_csv("IOC\\urlintel.csv")
# Sorting the value
url_intel.sort_values('Observable', ascending = True)
# It could be interesting to filter to dll, jpg, exe, onion
url_intel[url_intel['Observable'].str.contains(".exe|.dll|.jpg|.zip|.7z|.rar|.png")]
url_intel[url_intel['Observable'].str.contains(".onion")]
url_intel[url_intel['Observable'].str.contains("prntscr.com|prnt.sc")]
btc_intel = ioc_df.loc[(ioc_df['IoCType'] == "btc")]
btc_intel.head(10)
# Visualizing transaction for a single BTC address
your_btc_address = 'bc1qxxe0uz8dp820mnl7q5w3a2z9y4zgq9cr6smlf6' # Genesis Block
transactions_url = 'https://blockchain.info/rawaddr/' + your_btc_address
df_btc = pd.read_json(transactions_url)
df_btc
# Loading the VT API key
from msticpy.common.provider_settings import get_provider_settings
from msticpy.sectools.vtlookupv3 import VTLookupV3, VTEntityType
import nest_asyncio
vt_key = get_provider_settings("TIProviders")["VirusTotal"].args["AuthKey"]
# Instantiate vt_lookup object
vt_lookup = VTLookupV3(vt_key)
nest_asyncio.apply()
# Instantiate vt_lookup object
IP = "109.230.199.73"
ip_relation = vt_lookup.lookup_ioc_relationships(observable = IP, vt_type = 'ip_address', relationship = 'downloaded_files')
ip_relation
hash_details = vt_lookup.get_object("cf0a85f491146002a26b01c8aff864a39a18a70c7b5c579e96deda212bfeec58", "file")
hash_details
contacted_domain = vt_lookup.lookup_ioc_relationships(observable = "cf0a85f491146002a26b01c8aff864a39a18a70c7b5c579e96deda212bfeec58", vt_type = 'file', relationship = 'contacted_domains')
contacted_domain
multiple_result = vt_lookup.lookup_iocs_relationships(ip_relation, relationship = 'contacted_domains')
multiple_result
This blog outlines how Python can be used to find valuable threat intelligence from data sets such as chat logs. It also presents details on how processing data using the MSTICPy library can be useful for enriching and hunting within environments, as well as collecting additional threat context. This notebook can be adapted for your own purpose or for other data source.