TERMIN
Zapytaj o termin
TRYB SZKOLENIA
Zapytaj o tryb szkolenia
Lokalizacja Termin Cena Wybierz
{{place.city}}
{{ event_pack_item.event_details.education_center.name }} ???
Nowość {{place.price}} netto
{{ place.price | zlotyPriceWithTax }} brutto
 
Skontaktuj się z nami
Dostępne terminy:
Lokalizacja i termin do uzgodnienia
Nowość {{place.price}} netto {{ place.price | zlotyPriceWithTax }} brutto
 
  • Liczba miejsc (dostępnych: {{ basketAddItem.free_seats}})
    {{ basketAddItem.city }}
    {{ basketAddItem.date }}
    Dodaj do koszyka LUB Zarezerwuj szkolenie
    Dodano do koszyka
    Liczba miejsc xxxxxxxxxx

Żeby dowiedzieć się, czy dane szkolenie będzie realizowane stacjonarnie skontaktuj się ze swoim Opiekunem lub zadaj pytanie przez Formularz kontaktowy

Szkolenie / Cyber Range...

Poligon Cybernetyczny Windows Backdooring

Warsztaty na bazie scenariusza Windows Backdooring są skierowane do administratorów bezpieczeństwa systemów z rodziny Windows i mają na celu zapoznanie uczestnika treningu z praktycznym podejściem do zagadnienia backdooringu. Trening skupia się przede wszystkim na identyfikacji różnych sposobów na jakie atakujący może uzyskiwać nieautoryzowany dostęp do systemu operacyjnego Windows.

 

Przeznaczenie szkolenia

Zadaniem trenującego jest identyfikacja i usunięcie, bądź unieszkodliwienie znalezionych backdoorów przy jednoczesnym utrzymaniu dostępności usług serwowanych przez maszyny zlokalizowane w sieci emulującej sieć Internet.

Korzyści wynikające z ukończenia szkolenia

Biorąc udział w treningu uczestnik :

  • Poznaje i uczy się jak wykorzystywać w praktyce narzędzia służące analizie systemów rodziny Windows, takie jak: Wireshark, RegShot, MS Message Analyzer, Process Hacker, narzędzia pakietu Sysinternals oraz natywne narzędzia dostępne w samym systemie,
  • Buduje „mindset” nastawiony na poszukiwanie w nadzorowanych przez siebie systemach anomalii, mogących świadczyć o wrogich działaniach skierowanych na utrzymanie dostępu do przejętych wcześniej systemów lub wskazujących na mogącą mieć miejsce exfiltrację danych z tychże systemów,.
  • Uczy się jak unieszkodliwiać / usuwać zidentyfikowane wcześniej backdoory oraz nabywa wiedzę i doświadczenie w zakresie hardenigu systemów Windows

Oczekiwane przygotowanie słuchaczy

  • Bardzo dobra znajomość systemów desktopowych oraz serwerowych z rodziny Windows (zalecane posiadanie certyfikatu MCSE)
  • Znajomość narzędzi z pakietu SysInternal
  • Podstawowa znajomość protokołów TCP/IP oraz narzędzi do analizy ruchu sieciowego (np. Wireshark)
  • W przypadku osób chętnych tylko na drugi dzień warsztatowy (poligon) wymagana znajomość podstaw utwardzania systemów oraz narzędzi do analizy i zapobiegania atakom.

Język szkolenia

  • Szkolenie: polski
  • Materiały: polski

AGENDA SZKOLENIA

Omówienie założeń oraz topologii sieciowej środowiska

Poligon cybernetyczny (4 h)

Podsumowanie i omówienie uzyskanych podczas treningu wyników.

 


Kod szkolenia BS-P-SWB / PL AA 1d
   array(6) {
  ["id"]=>
  string(36) "59A57512-901B-4B47-8484-1EC5B1E95F57"
  ["name"]=>
  string(14) "Vector Synergy"
  ["iscertificatevendor"]=>
  int(1)
  ["iscontentvendor"]=>
  int(1)
  ["imagehash"]=>
  string(25990) "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAU0AAAHKCAYAAACHRRmkAAAACXBIWXMAAAsSAAALEgHS3X78AAAgAElEQVR4nO2dC3hU1bn3905mcoNkkjACgkCsosEqF6VRDlWiKNRaNSiltj2tSKFHrBywgEo/OWJBLSIVqkdtQQqeXrxgCdpSpaCJdylVghfwWkLkEhxIhoRMbmS+5x3WDpPJJNlr77Xv/9/z7EeBuay995r/fm/rXXI0GpXMQJblqZIkTTXlywAAniMajRabcc4+Ey9sgSRJ40z8PgAAEE4KLikAAKgHogkAABxANAEAgAOIJgAAcADRBAAADiCaAADAAUQTAAA4gGgCAAAHZha3q+Lmm28+PHfu3HrcRABAY2NjxnnnndfPThfCdqJ5zjnn1J955plDbDAUAADoBNxzAADgAKIJAAAcQDQBAIADiCYAAHAA0QQAAA4gmgAAwAFEEwAAOIBoAgAABxBNAADgAKIJAAAc2G4ZJS+rXt53eOWLlVir7jJ++lX58f/cX5bq9evgNvyjRvmyf/WrgU4+LceL5u79x+o/r45grbrLaKysrDxevRf31X1UOv2M4J4DAAAHEE0AAOAAogkAABxANAEAgAOIJgAAcADRBAAADiCaAADAAUQTAAA4gGgCAAAHEE0AAOAAogkAABxANAEAgAOIJgAAcADRBAAADiCaAADAAUQTAAA4gGgCAAAHEE0AAODA8dtd6OHyc/M//+llp51x9QWnSDv31kmPbfkytGHbodRwpDXPuWcFADASz4nmafkZof8aPzB1xmWn5QWyfGcofz98cLb02LRhwcemDZNe3V0jPbSpsurlD2uCza1tmdaOGABgJzwhmmm+lMgPxvY/NvPy04LDB2cHe3r9JYV5dAyi/3/hX19Ja8r3QUABADFcLZpFZwSq5l01ZNDVF5xCYqdJ8Mh1v/qCU9oF9MG/VVZt+zw8SPhgAQCOwHWimeB+CxU3RUDDDa3SX/55KLK2fH8IAgqAt3C8aPpS5Qxe91svgSyfdNO4AZk3jRvQLqD3lf772JdHGg3/bgCAtTheNG+5YlC/pd8fKml1v/USJ6CZlaFG6dm3D9b8duu+4xBQANyJ4+s0hwQzbDCKE9BY5n2nIO/Th8YGdy8fK829akg4kOmrscPYAABiQHG7QZCALplyZuDg4+Py3llcJE0dNyAEAQXA+UA0TUCpAY0XUIrDuv7EAXAhEE2TUQQ0/MSlmc/893DpWyP6VEFAAXAOnl5GaTWJNaBURP9ixWGUMAFgYyCaNgE1oAA4A4imzUhWAwoBBcA+QDRtTLyAogYUAHsA0XQISg3ovO8USBBQ9yGnpTVGm5vtU3QMugSi6UDiBRR9QB2O3x/pNWeOnDVtWkwwj+/bJ7XRUVcntbz9dmW0rs7X8t57rbF/27t3iNcvlx2AaDqc+D6gEFBn4S8qCgUeeSQoZ2e3jzt14MDYQaSPH59UJFu2bYv9t+mVV6ql1tbG1vffT2mrqWk7fuBAX6mlBe0LDQai6SLiBfTy+/518I2Pa/t7/ZrYEXLFs5cta0ufMEFTaMVfVKT8t1+yf2/dvVuKHj1Klmmk9eOPDx3fuzfl+J49bdHGxoy2Q4eSvgeoB6LpUi44PUd+4+Nar18G25Fx/fWh3nfc0cG6FI2vsDD2if6iIrI6O1mr0bo6qXXXrvYQAP1d85tv+qTW1laEAHoGoulSrhoV7PebF/d6/TLYBjknJxx4+OGAv6jI8sQdCbZirXYXAiBRrV+yJNR28CCSjXFgGaVLGTHYOEsG8JE1fXq4z5YtAUWonACNNX38eKnPK68Eafy45SeBaLoUqvHEmnZrSenfP5S3YYPUa+7cgJHuuNHQ+Ok86HwcexICgWi6mNNPyTzi9WtgCT5fQ8y6fOWVoBJfdPwpFRbGrE6KydpgOJYC0XQx48/Nb/X6NTAbX2FhKP/FF7PIOnPj+WUvWRLMWbmygepLbTAcS4BouphzB/Xu6/VrYBaxMqLFiyN5GzYElTpLt5I+YUJW/t//npk6YIAnPRmIpos5o18mCp1NgIrU+7z+ekbG5Mmeud70YMjfujU/fcIEzwknRNPFXFKIRUFGQmVE5KrmrltnaN2lnclZuTKfLGwvnTNE0+Wcmpte7fVrYASUEKEyInJV3Xd2fJCFTdl1r8Q5IZouZ1CfjGavXwORkHWZu25dLCHiVesyGZRd90qcE6LpckZ/LafN69dAFFRGFHznHc1F6k2bNzd8NWyYpByhoqKaY8uXh2lZoxugOGdeaWm+24UToulyioflYS2xTnxDh1YrRepaP4maaBydN0+O/7toXV1ew+rVgcOXXx6mf3cDZH27PUEE0XQ5w4fAhdSMz9fQa/78xrznn++np0idLMnwzJmhrtq2RY8eDdTeeKNrLE6JJYjcKpwQTZdDDYsBP0qRutIcWA91d911pKemFySckaeeqnHTrSLhdOO6dU90OXp1d4208JnPq+I3J6N12bTMcOKIPj7qCOTm8pwz+mVWfl4dgZuuAr29LhNpWLOmsWnz5nw1r4386U/Hs2bMEHcyNoBCGqlDhkTqFi50TQ2rq0WTdnOccP+/Qjv31tMPoMNujs2tbZkfHzg28OMDxyRqoUYietnX80LTxg0cRNvpuomLzsz1fV6N3h09kayTuh6ovdqxZctUW6pkjZKL7rasPCv6d41wulY0aeuHS+7Z3tjU2qbKYiARfbHi8KAXKw5LgUxfzaSivsfvvOb0oBvc28IBWZ6vJewOI3pd0l4/tdOn05OqR6GQs7Nr0i+7rCHtiitcu/5SEc7IH//YywbD0YUrRZME8+J7tkdICLW8n/bXWVu+X6Lj66f1rv7ZhEE5tJWu+JGaQ9GZASwN6gIjOqnHEj8//vERqaUlqVtOIukfNao+/Yorgv4xYzJTBw6k++P6e0TC6Tv3XMdbm64Uzesf2hlqVmlh9sSHX9b3u2XNLmnOkx9HfjC2/zEnWp9oSNwZ6g2Zs3RpUHQn9aatW6WGlSurj+/ff3IvHr8/4j/nnFDG5MmeEslkuKFVnutE865nPgsbsRc4Wa1ry/fTIRWdEaiad9UQx8Q+qSExhRywQ+UJKKPba+5coXOkcf36SP2yZc2UBZf8/hz/iBFVaePH9067+OI8X2FhZmJMHTgX14nm6pf3Gb4ChrLwU36zMyZE0y8bmDLjstMCdrc+++emN3hdNKmMKOeRR6h1m7Bel40bNkjHVqxoTgkEjmZNn56WdvHFEkTS3bhKNF/411eSWmHI7eUL3/e9oWlK+7TwsVapbFdNbGe+Lw41pHx6sCEmvqGjLTldfSb9/fK/VUp0fGtEn6rbvj1kkF1Ll6ghMVUKeBIqUr/ttpSsadOEu+K0dLBPeXmaJEnYGtcjuEo0X/+ktlrN5C0Z3ffIn2ed1ylIf/UFp3Rby0gJptqGE83Q//ZeqLr1eLQx3NDqe/uz2tZPDzZIM1Z9dKSppS1r3lUFGT+6+NSYW2wXaDnlo/+oss14zILKiLLvu8+QxsC08RjwHq4SzZcqDve4vcMlhXmhP886T5PFMTwuoXJJYZ6jLIshp3hsZZDfH8l58MGoqCJ1ABRctYyyta2tW9FM96U0PjN7uCd/RMM9lkHPXb06k7fXJTXNoBglAN3hKkuT4o/d/ftDPz47aieX2WyGD+6trI5yNVSs7i8qUpXsobhk8z/+sa/plVd6pxYUpOauXt3b7dcH6MNVCtJdEoiWSTq5QF0EmxdcEBwy6zVaJeVqX733/PlpXf0brdRpeeutSOP69aGWjz4KxjoP+Xx5LFGE7iagRzxjdtG6cq+XgZCV/erdozMuXLjNBqMxCL8/kj5xYoeHY8zt3rixuunFF1NZt6H2kiAqcg889phr9icHxuMq0aT9cA7UNiVN0FxzQV8kBFhs8/4bhjYueOpTV1pVGddcc0zOzm4XzcNjxtS11dZmJ6uqMKLIHbgfVyWCstJTGrv6N2xne5I5Vw7OoLIru4xHJFkzZ3YQwWhDgz/x4ynmqbcTO/AurhLNof2z0FRZJY//ZFj+4GCGq4Qz7ZJLqhLrMXOffjqDtqtQ/qzsIgl3HGjFVe752LNye1NrN9AzFN/cvOCC/OF3vKW5G5TdyPrJTzrFrEkcabsKSgBR9yFfYSHccR3QNWw7elQyYrGAU3CVZfbdi/qjIQUHtF5+3cyvRx0z4G6ghE53u0TSjxzWpT5IMGuuv95121fw4irRJBE4LT8jlOzfaNmj+SPSDm3RsWTDF+1HuKHHxU6aKBndN2vuVUMc/0Po9bOfOb65rd2pX768ri0UavaylSm5cWO1X5ScnvTH85dth1J5P6sy1ChNWbmzmgTMLB55qUrqf3O5NPH+d6V7S//dfpz98zdi4mkES6acGaDlpaadpGCoqS/rDA4MgrbuaHz66ezUIUNcvae5Glwnmtd9o28mLZdM/HvqsUkiqAZqzEFiWTj3DemFd78ybY35jFUfSfP/9AkV6Xf6N/q7mHjOfUMyQsRpeWlXVrrdScnLO+rEcTuJo3Pm1NNw0y691LtL6hiuE01KcNByyWT/Nv+Pn3TropMYjf5/71RT8Xe8WA4JqjNiyIWmz1jx972NagU6bmzSH14/0OPr9oYaY1bolJU7Jd7v6A66br/+z7OQJAGdoAbLbTU1seWl6Zdf7vkWeK58atByyce3VHVaZ01CSFZkYvMKErqf/98n1bS1RbIi6MQGwySOFXvrpG2fhWt2729ooNZwVYeb+ipZ6JLRfRuoFlLteEn8HtnM17bthXe/ih3/r+R0adbEwULa0D3zTjVZE1h7Ddqh5E/9kiXtxpXvnHM8Pz9ca2o/M3tEMFk5De0ftP3eC4OxJYU9iKXCg3/dk1Qc2T4vHTL2XfXq7I5HXtqr+TzJZf+/1w9Q+VAncefl/245t3fr8eiR0u2HuMYPtGP3LXsb1qxpijY1pUsnKhA+p3Ui1o/KWlwrmiQgL8wfmUmubDwU26S90I+3Scd7EkuFhc9+rmojLC2CSVTsred9SwfIZa8MRXSLJkHjn7lmV2ht+X646l1AQte6a1eHf2ypqKhpO3SoQ2y1+c03fVJra3uAuq2mJidaV9dhHmVOnVrd+447bOny0nlGfv/79j/7L7pI30R1Ca4O6tLWE49OGxa5Zc2uDtamEe3RtAom8ZqAxI7IbTYemzYsWHRGoNN1czpU4N62b1/7WbTV1Uktb79dGX9ax/fuTTm+Z09bwt9129GfoW2HydZWcYFpwcRbmUTa2LED7DpWM3F9Joy1gzNUAGg5olbBJF5acL706q4aEvOYxbiT0/IMZIq/jWZcN1G0HT7cu/7ee0+In8+XkcxyixVmf/vbjdHm5kRzXI0gGkbr++/bNhnb+NRTzZT7Uf6c9s1vOmP7VYPxRPmAkQJA5U3bFl+oKwZIVmKipUjx1p2VJ0SU3PfurNFAL5/0f68dkGhfIpE4RTijx471ifzhD32UP2dce22n1T8Nv/tdONrcbLsGHW01NYbvnqoF6mDPukPFkHNy9sjZ2QV2HKvZeKbmigTgjH6Z0tXLdghda7125tfbjOgGn0xIKfNf+VVjLHP/6u5aaWdlXax+k2KaP139Uaxs6daJg6QfXTxASHxTcpjFqRD5wx9C2UuWdAjBRJ5+2pbiZFeOPfBAnSRJ7aLpKyyMeP2aKHiqUJVE6LW7R2dO/NW74dpjrbqtDlpFUzLavD6dVCpFx9UXnPSSKlkSSHHvKZNOGfWrzz9F+tE3T+3wWq04TTgbn3++V/aSJe1/Jtc8MQEDuubYypVN8VYmkX7ZZeggxvBcdT+Jzu4HxwaKFr5zZG+oUbNbTdtn2GGTNrIo6ejKvaell9dccIrujdWMstQNoaUlkwqylaWViZlu0DWULIusWdNpcYj/wgvPxmU7gSefHuROf7x8bP7UcQM0LxucNXFQs503aSMRJVf9rklfE7YTpWKp0wNDyAcaSP2yZc3Kp6fYuMGEysy8aRz97/+u7ZQsS009hg5RJ/G0yU2lNVSS5E+VG3jeR6Ix/zsFnuz6TQLsBOGMHj0aIGtTYm3haO8g60dlb8gtb/3oo9zEQaYWFPzb69cmHs/HKcjtfH3RN7J4mlXY3co0GqcIZ/3ixTLFM4m0MWMc28XJDKiLUcPjj6cn+6q0b3yj05YhXsbzoikxEaCllWrbo8247DTP7y2jCKedOyORm1m/dGlsfMm6utsBOS3N8uJ22q2zdvr0Lh+AaRMnnmbuiOwNRJNBluNLC84P0k6N3b2OREJUOY/TUR42dt5rqPG554JNmzc3UFd3/wUXHLTBkNpJHTDgSN6mTZZOJrLEa2+4oSm2/3sXpF10ERo8xwHRTIC6E02/dGBdV/9+XVHf41aNzY7Qw4aK++0snEfnzZPJmspeurS/XWKbMcEsLc23sgt6bJVUScmR+KWS8dCunVk339xk2QBtCkQzASogX/3Kvi7TzVeNCnq+n2AiinAOH9zbnq56S0tmeObMUEpOjpTz4IOW74mUPmHCkfytW/Ot7G6kCObx/fs7ld2RoGffd58UfOedQK/Zs5MKqpeBaCZAreO6+3eRjTHcBAnnO4vVx4XNpu3gwSCJhO/rX8/KXrzYMmuz1/z5jTkrV1raeo+s7sOXXx5OFEx/UVEod906iQQ9Y9Ik6wZocyCacdz1zGdhah1nmwE5kN/NOMe2149E4siVV8YE02zhpIQPCVLWtGmWxjBJMGumTIlQSVbsL/z+SPqVV9bnb9ki5a5bF+xuR09wAs/v96FA3dgffqkqrbvX+FLlY2QsmDowi6FGIENO6bziqCtsnyRracmsW7jQ1K/0FRaGcp98Mmh1s2GqW61buJASPpkUr8z8wQ8ysqZNy7RzE2Q7AtFkLPvrnnBza1u3pUStx6OeyyLSEsxLfvnPyNmn9jq67Idn9etJFEXuW+R0yLrsvXBhNGPyZEutb4pf1i1YUN20dWs/ildm3Xorud+eL5vTCtxzxuqX96ELThJi24L8zzcyK/bW+c+7/c0GCmF093rqvOR5/P5I1vTp4T6vv56hZmvhpq1bDbtiMXf8+99vbqurS0W8UgwQTdqk7F9fUYs1Vf4nZde9hpIdT5HllOV/qwycekt5uHT7oaRLT9eU7+PbIc5NMLEMvvFGZq+5cwNq3N66u+4KNf7xj90+iLQSefJJKbJunRT47W/TEK8UB9zzkz90VStGNu88XDN8cLbnUugxi/Pu0RkX37M9Qm31vv/w+9KpuenVWekn95hnm87ZcuWNYfj9EVqimTFlyqD08eNj8UI1X0UWIJVBUVY/55FHhI6OYpf1v/xlSlSSomljxnzVunv3ICvrQd0GRFOSpJc/rFEdc/rt1n3H533Hmw2slaWTJJzUHu5AbZOnalbl7OyalLy8o6kFBSn+0aN7p118cZ6vsDBT7QNXUrbEXbo0RCuVJEkK+oYOrU4fP17IdaT140fvuCMmxMrfNb/66qDmV1+NiXvGNdccy5o5MwgB1YfnRZPcbZ7+kFSSRL0qvVqvScKZbJdPN0Hi6B81qp6E0T9iRJ5v2DBlm11tm6cxsaQtNxrWrUuTWlraRS37gQd0Cyb1wDx2//2xRA8JcdIXUY/R556jQ0ofP76614IF/SCe2vC8aJK7zftDoL3St997oWdXBtED48+zzmt4bXftV/TnrR8cic2jr+qac47UtziyfiW2ZHD69DZmPWoWx0QSxLJDxprin77CQl1Z7GPLl4cb1q71S62tqucjiSslnzKuvz7U+447LC+FchqeF83d+xsaeH8gtF86JUJKRvfNMm5k9obOvWR03w4NdM+9/c1Kp4kmuce977qrn7+oSFgJDgll00svRRrXrw+1VFSQ697ps2kpZa+5czWvDCJXPDxrVri9SF0DsWYmL7zQmL1sWVv6hAmencu8eF403/6stlXFyzpx42Mfyq/dnSmsK7oboESQU04jTix1ewyU1CEXmfZQb37zTd/xL74YyBJCSWOdJJhal1LS99T94hehlm3bgsnEmBdqn3d09uzYmLKXLLF0PbxT8LxoaoXioJQQocQIhPPEiirb7x3EoPXfWdOmdSuWZMm11dXFhFBi+5MnbrebZKuKHreu0COYca648GL5ps2b81s/+CDWeQnC2T0QTR2QSHxz0T8bVt5YKLMdGw2BVtnYfXlihRPqV/3+SN4zz2T6Cgs7XEyy3po2bapp3rq1vvWLL3on7FwpbA8fimFqcclFuOJqoLX51Mgjd926APYE6hqIpk5ajkezblmzS/rfzVXVv/7RWf1EZNXJaqMteal+tHxXTb+yhaPTJMneorntszB3Qs1MaPlg4MknO/SvpHrGY//7v8dYiY6w5E8ilGQKPPxwgDduGr/8UYQrruo7jx4N1H7ve420mgkWZ3IgmoKg5BCV4VBnd2pUTH031QoolTB9Xh2JvPFx7ZGXPzzii6t/HDT3qiHh4YOzu20kYge0JNRMw++PxAsmdXKvW7iwhVluhoYUtGaoYwXqtMdRc7PpVRoU56Q2enDVkwPRFAzVcf7mxb0SHUQg01cTzPEfTfYtbAWN8qOl/3YonMvt5Qs7ZddLrQk1M8hdvTpTEcyjs2cfofid0V9LiSaqwfQVFnLFHylUcPTWW0Otu3db2uSDXPWjs2eHA2vWoLFHAp4XzT6901I+rzautSKtaVe7rj2R+743NE3PrpdkwYaPtUplu2oqed97am5aTtGZgfZx52b5uq0UCB1tydE8UAOhOKLiFpshmHqy8kYmerTQ/NZbAbLKUY7UEc+L5uiv5bRt+9yQfgm6ICvzpnEDND/lf1++P3LLml2KFSssmTF13IAQ7Ref+PdaHwxGEitY/+lPY9eQBMkwwey4RJFbLOPXoRsyPh1QGCNtzBgJbvpJPN/lqHhYnjBBEQlZmXo+7hdPf9psxLj+9MbBXpSoiocsWjvSe/78NPqxk8vbsHq1WDfT74/4R4yoomYbp+zcmZm9ZImmNd0k5jWTJkl2FEyJJYZoRZMNhmIbPC+aw4fY7wma5kuJ6ClholZ31IlI7KhOQDFYatgc/3eUxDLiu3RB2zhMnBi7hrQuW+RHy+npTdT+Lfepp6izkabPICGvmTQpJFzMDSDy9NPoNRuH50WT6h8pWWODobTzg7H9j+l5/4N/qzS0pyVtCxJvbX5QVX/IyO/TArVrU6xMVrIjDNrytvbHP9a8gRzFCWmvIquTPWqhulUjGyU7Dc/HNIkxZwXqX6w4bJuY3MzLT9P1Y9pRWWfoj5Gszb/881C7Naw07LAT6VdcEbsGVLRuRCkUCR4lljJ/+MP2OGlLRUVN26FDSSslFKJ1db7GjRsd116o8ZlnqtLHj/dWr9QugGhKkjRt3MBBL1YctsFITpQo6WlyTPFFM5YzUsxUEc2DtU22y676x4yJjY1W+RhVP0qJpabNm+P/yrACeatpee+93m48Ly143j0nrr7glFgc0QZDkb5z/ilJt5FQC1uZYzgUM6UMvWTTzLmSlElcLw60QS46hToARLMdvXFEUVx7wSm6XLcDtc3duociua/038fsmjkH4mmDaMaAaDLuvOZ0WwTl9WbzzYwv0uqn35ftN6S0SQ8pffsKzZaDExzfu9d+VRIWANFkUBa96IyApTspUohAbzej1rY2U5czPvXWQduti287dKg9W+4fNQpxe0G0fvyx7aokrACiGcfiKWdYmh0c1Ccdk1IwGdddh41wgFAgmnFQV6Lhg3trrr/Tiy8lBVaRIGhpIkF7fdNyShecErAJEM0Enpk9wrLY5vhz83W71hDeEzS/9lp7hip78WK/xcNxBf6LLrLlkmOzgWgmQDFFakphq0FxIEJ43UDTCy/EElQNa9Y0pg4enOUrLHTsPbULKWjaEQOimYRf3TA0SF2GbDcwFVBLN9sP0gRaP/20H9UVNj79dHX4v/6ruveCBUE5La3R9SduICnYJz0GRDMJ1MPysWnDTHfpRJQLxffA9DrUqCMlLy+Fsum106dHMiZPlr1+TTTj90e0dHFyIxDNLqB9vc1200WUC4nYo8gtUKMOOSenT+x0WloyI3/6U7rXr4lWUgcNOuLMkYsHotkN5KbTnj9mfZ+ofcPPPrUXlm4wml97DV3HBZBRUoLryIBodgO56c/dNjzoT5U7rAffvXysIckiarRB2/Xq5T+/2R8THAgl/dvfhgvDgGj2AO2LQ/uax7+KMuy05cM7i4ukr5/WW+iSvZc/PKJ7qdp3L+qPCQ6EkdK/fwjxzJNANFVALdDuv2FoJxOQBHX7vRf2e3TasEi6L0VIZnZt+X7dFiyJuplhBeBuMn/wg1Tc4pNANFUy58rBGSWj+x5JJkYkqpUPX5whwmXf9nl4UOIePFr4RcnpvUSeP/Aofn8k84Yb4LnEAdHk4M+zzsv/9X+elXTFECtTClK885LCPF3iuerlL3X3WyMht9s2HsB5ZN14YzN2ouwIRJMTaljcHeQav7Tg/OBLC87XHO9cvqlSyH2ZftlA3F+gHZ+vQdkCGZwEPyqDoHpJinf+edZ5Dbyri6gr+oq/79UdI10y5cyAU1c2AevJmjq1BVZmZyCaBkNF8gceHReYe9UQLvG6e/3nURGxTb37pwNvQktOYWUmB6JpEmT1UYmS2qw21WxOWblTd2KJYpuiy6KA++m9cGEUVmZyIJomQiVKnz40NqjW6nx1d01Q2bxMD2v+65x+tErojH6Zlcpxam46hBQkxTd0aHXG5MmG72jqVNB70QLI6pwwvI909bIdkZ622529bnf0gtOzY4KrFXrvjl9dxF2dnGzTtJ2V9dL8P31i34sLdJP9wAP9cBW7BpamRVCiaOfSMZmDgxndNkJoOR7NuuSe7Y0i4pu80BgTj8aW4yhjcjFZ06eHfYWFXr8M3QLRtBAqT9q2+MJ8KprvbhRNrW0ZRQvfOWKFcCZi5hbBwFxSBww40mvuXCR/egCiaTFUFE9F8z0J595QYz4Jp4iGHnrY/sVRzBk34m5tcwkAACAASURBVPM1BJ58Mt/rl0EN+AHYBLXCOfyOtyI799ZZNujD9c1tln05MIzsu++W0ZRDHRBNG6FGOClx9M1F/2yY/ruP9r3wr68ksy1PUT0/gX1InzDhCLLl6oFo2gw1wknJoT++cWDglN/slArnviENve2NkIjSJDX0lO0HzoLimNlLlsAt5wCiaUNIOHn2X//ySGPwljW7Mk+9pTxcuv1Qg4q3aMLKsAAwAL8/QnFMFLHzAdG0KZsXXMC9IyatWf/+w+9nff/h9w3Zz+WxLV+iR6eLyF29OhNxTH4gmjaFsuov3Xl+IHGrDTWUbj+UL1o4yf1fW74/aVs84Dx6zZ/f6C8qwp3TAETTxtBKnl9+90xN94iEU0SnJIm55bQyySGXDfQAJX6ypk3LwHXSBkTT5lDHeK1NjUV0SqL3T/zVu2FKPjnv6oFEKPGTs3IlEj86gGg6gN/NOKfTjphqoEz3sr/u6TYuSqLYXdnShPv/FaJYqReus9uhDdLySkshmDqBaDoAWm6p1U1/+KWqLvtpkttdOO+NcGUoebXSHX/+tHrn3nrEMd0AZcofeyyITLl+IJoOgdx0LV3YydqkIvhESDAvvmd7hKzIIcHOpZdUuvSbF/ei241LyHvmmUw04hADRNNBPP3fwzW5yWW7airj/0yZcFpVpBSqkyUbDwnqjY99KCf/NOA0shcvjkAwxQHRdBDUmk1LF/ZwQ2t731QSTCqEVxI7iTtWUozz+od2hrDyxx2QYGKJpFggmg7j7uu+xu0y76isi4nmzDW7QiSY8f8WzPF3aPV28xO7jtAKI09dVJeCNeXGANF0GLSFMG9sc9ywvEYqdk9WnD60f1b7HCArlOo7vXdV3QcJphtKi8LhsNqm15UqXiMEiKYDmfvtIVzt2Z54ZV+/rsTwa32zYp9FccxEKxQ4Ezc14fjqq6/UNr3eY/BQ2jFTNHeoedHLL788xPihOJsZl52Wx3MC1Pm9q387d1DvvkoBu7evqjtQajFRWmQcZopmraoX1ap6maehdelFZwSqRFyDM/plxrYKRgG7C0AtpinAPXcoU8cNEJKs2fDPQ020VbAXr6Gr8PkaUItpDhBNh3LdN/oKiT8+vuXLdC9eP7dB21VAMM0BoulQyEU/+9Re+7x+HcCJNm9uLS168803fSpeJnk6EVRWVmb8SFzCxBF91E4o4FLc3uYtHA6rbdPlPtGMRqPI8AjmqlFBrA33MGjzZg1wzx0MLasE3kROS2v0Qps3jhJE04wys0VTVdX+Z599Zlp1v9M5NTedey06cD65Tz+d4YXSIo4SRFXhPxGYLZqmxR28Qn5vf6cznXxhv3qvXxc346WuRXas2zZbNFVdAY6MmeehdeXx14C6Fs3/zpDeXr8ubsVrTTh27FBtQLrW0lR1YhwZM8/jS5U7ZE4nFfU9ThuypflSkrdjB45FzskJu2VNuRqam5tVz2EzE822TARh/bl6EjPoMy8/Lba65/RTMg3Z+xxYR+66dQEvLZHcu3fvIZUvNTUHYrZoqirCxPpzbVDLOLIyifHn5sNadxEZ118f8tqKn08++UStPpmaK7FlTBMF7tqIbxlH3YscNnzQBeSW977jDs/1B/j888/VtkA0LZ4pmS2a0WhU9clxNB8FjO9e1L+9cJO6F+G6uIPe8+enebFzkR1rNCWLYpqq4g8HDhzg3ufby1CruPgN0lD47g58Q4dWe3XLij17VHvdprqmVoimqivxj3/8AzE5DuZdNWSQYwYLVNP7rrs8u1SWo9zI1TFNSe1TYefOnYjJqYQSQLR3UCIoO3I2ZGX6i4o8ee48qwKj0ajrRVPV42P79u2Iyankvu8NTUv2ykF90tWWbAAbkjV7tmetTI4FLuUGD6UTtnXPyTTnKW71KpVfNQprSAzsA2XM08eP9+wdee2119QW8ZuaOZesEE2eDPoXX3yBAu0e+NHFp8YaEgN3kTV9OteOo26Dw9N0v2gyVJnUmzZtghrooOpwE+LCDiXzhhs8W/5AHqYd15wrWCWaqk70hRdeQJNdHTS3tsFtdyD+ESOqvLyj5LvvvhtS+1oez1UUVommqgw6x9MGANeQMXmyp3cH3bhxo9ouXaYngSS7W5q0Br2qqkr1UwcAN5A+caKnPYQXX3xRbWjCkvXWlogmq6tSVYf17LPPHjd+RO5j5946r18CR+J115wznukd0WSoOmHENbVR24AFVU4kbfx4TzeQ3rJlC088E6KZ9EVlZajX1MC7/65rFP6hwHDSLr7Y000DNmzYoDaea0k8U7JYNEvVvpDn6QNOUHW4ERuuOQ2/3zN7/3TF+vXr1cZzLesfaZlosvb0FWpey/H0AYytHxxBjavD8J9zjqeNA0r6cjQgV210icbq7S5UPS04nj6AcbC2KQvXwln4zjvP06uAHn300VSVL620oj5TwWrRXKvmRfT0efvtt6uMH457CEda0VDTYfgvusjTe2M99dRTti41UrBUNNnTIqzmtU888QRcdJW8uhtN751I6sCBnj13cs05mg5b5ppLNtmNUtUFgIuunr+9F0ISyIF4OQnE4ZqHo9EoRFPNi8hF37RpE1x0Fbz9abjZ9oMEHfH7PV1W9/jjj6t1zS0VTMkOosmeGqpc9FWrVmFLBxXsqKxDKMNhpJ56qmcbRlO+wglZcwU7WJqS2gtRWlqKXSp7gJZPorsRcBJLly5VawxZ7ppLNhJNVVl06YQZb5cx25LNOw/joeJAUvLyPDmv6+rqDpMxpBLLBVOyi2iyNaSqGng8/vjjAeNH5Fz+8PpBbH3sQLxao/noo4/yLMJQbVwZiZ2ebqouCJUloGYzOeGGVunjA8e8W7cCHAeHEVRpVYOORBwnmsSCBQuQEErCX/55CI1NgGOgahiO2kxbWJmSnUST9djcqOa11PmopqZGVcbdS6wt34/GJsAxLFu2jMf4gWh2geoLc/vttyfd69urkGu+7fMwLHCHEq2r81SDlQ8++KCajB+VbGRGlS2wlWiycgJVCaHVq1dnwto8yaqXv0TW3MG0vPeep7pGL1y4kKe5+AoDh8KNHcscVFubDzzwgKe7wsSzfFMlSrGAIyBjh6PMyDYJIAU7/tBWqF0hREuv0NX9RIOO2mOtKMVyMNHGxgyvnCtnaG2RgUPRhO1EkzUnVr0e/aGHHvL8OuuHNlWiBMvhtB065Im9sMjKpNCaypfTCiDbJIAU7OrSqX663HnnnQEvxzYrQ43SixWHkQByAdE69+8gymll2iqWqWBL0WSZsnVqX+/lTPr8P36CNnAuoXXXLlefH2XMeaxMiCY/qq1Nr2bSycp84d2vsMWxS2ipqHB1BcSsWbO4MuYsVGc7bCuavNbmdddd57lECKxMd9GyfXu9W8+toqIixFGXaVsrU7K5pSnxWJt0Q+jGGDsc+wAr0320vPdeb7eeW0lJCU+PV9tamZLdRZPX2uS8MY7mp6s+wpJJlxGtq8s7vm+f687riSee4Nn/x9ZWpuQAS1PisTbpxtANMnY41kN1ma/urkF3dhfS8tZbrqo7bmpqapw3b55rrEzJCaLJrM171L6ebpDbk0Lf+81OLB91KY3r17vqof/DH/6wjWMri0q7W5mSQyxNiWeVEN2gGTNm+I0fkjXc9cxnYaz+cS8tH33kGg+CcgzPPfdcFsdbFtndypScIprsQqp20+lGlZWVuc5Np/1/lv+tEoLpZlpaMpu2bnX8Cba0tDRw5hjK7bj6JxmOafIQjUbJ2qxQ+/pJkyYFKZ5i7KjMg1q/TfzVu3DLPUBk1SrHL4v9xS9+kcKR/JHsuMa8K5zWGWeO2heSm07xFGOHYx43P7HrCNxyb9BSUTHIyUsqyS1/8MEHeRqQrLNbJ6PucJRosgurugTJLW7678v3R0q3H8q3wVCASTT87neO9Co0uOVhHmPIDjixB+MctUkhibnpTs6mUxzzljW7sI+5x4g8/bQjvaRbbrlF5nXLnZD8icdxosku8FS1ryc33alLLEkwL75nu+f7hXoRKnRvXL/eUfeevDqOhhwSS/7YvsQoEUd2+2bbYpSrfT0tsVy6dKmjrE1K/Fz/0M5Qc2sbrEyPUr9smWN6xZI3R14dx1vCPMaPnXDyFglTedx06rvplLXpJJhFC9858uWRRqz68TDRo0cDTrE2L7vssgBHEbvE3HLbbJbGg2NFk11wrgBycXGx7cuQFMHcG2pE4gdI9YsXy3bPpM+fP79xx44dPG9xpFuu4OjNuFgxrKq90iUW37zoootsuxcLBBMkEm1uzrBzJv255547wlle5Fi3XMENOxhyuen0RJwxY4btXB5K+gyZ9VojBBMk0rB6dcCO3Y8qKyuPTJ8+nXe+znGqW67geNFk2fQSnvdQho+ekMaNio/S7YcaKEve1NrmmR0JAR9Hb73VVvF42gW2uLg4nzOOudEpSyW7wxV7ZbOid9WdkIjJkyfn2yExRA04vv/w+1nIkoPuaN29O9iwZo1t4vEXXnhhJmc9ZqXT3XIFV4imdEI4F/GUIUksMUQuhnGj6hqKX1648J0QGnAAtRxbtiyjdfduy68Xhbc4Ez9EidOK2LvCNaLJKOGJb5JrQS4GuRpGDywecscpfrlzbz1KigAX4ZkzQ1Zm0ylTzlnATtwWjUa5VdauuEo02ZOsmOc95GKQq2GGcNK+PhPvfzdE7jjil0ALbQcPBsMWxTc1ZMol1ozDseVFyXCbpSmxJ9pNPO8hV4OEk5oNGDUuil2ed/ubDdimAuilZdu24LHly00tQyLBpDwA59sqnNaMQw2uE03pZP2m6m5IEhNOajYgeizUoejUW8rDFLtsOR7l6WINQJdQGZJZq4UoYapBMMNuimPG47PPUMQSjUanyrI8UpKkEWo/mMVqIqtWrdKdyabNz77/8Pt1R+pbsiVJQmYcCKdu4cLM1MGDJX9RkWEXlxKllDDV8NZip9djdoUrLc04inm6vUtMOEUUv19SmEdHi97PAaA7aqdPjxiVUSfBHDlyJG8tJnGTmxI/ibhaNOPayHHFf0QJ559nnZd//w1DXbPlBrAhLS2ZNVOmCBdOHYJ5jxsK2LvD7Zamkhgqtko451w5OOOlBedLab4U9MUExtDSkln7ve81ilpqqUMw17F6aVfjetGUTgon92oEka76zqVjMgcHM2yzdBO4i6zZs6XUgQN1n5MOwaQlkq5Y8dMTnhBN6WTjYq5SJEmgcA4JZkgfLx+bXzK6L4QTCEPOyQnnbdggZU2bprvulzqvaxTMCrcskVSDZ0RTOlmKpEk4R40aJYkogKc456PThkX8qbJhNaHAG/iLikJ9tmwJ+AoLdZ8v1WFeeumlQY2CWezG0qKu8JRoSjqEUymAFyGcN40bkPn+A/+RBXcdaMLna+g1f35j7rp1QTk7W/c11Fi4LnlRMCUviqaksfhdYsJ59tlnZ4po8qG461PHDXD8FsPAPFL69w/lPftslgh3XGJrySGYfHhSNCVW/K5FOGmtOsV9RHVHemzasCBl13N7+Ry7zTAwh4zrrw/lP/98UIQ7TkuGKVavYS255GXBlLwsmpIO4aS4T0FBQb6oRsaUXd/94NgArE6QDEr25K5bJ2UvWSLEHacQU1FRUZaGbkWEpwVT8rpoSieFkzvGKbFGxuTeiBhHIMsHqxN0gqxLSvaIWipJHhKFmDT0w5QgmCfwvGhKOpJDBLk3kydPbhDVWg5WJ5AMsC4llvCh0BJnx3UFCCYDosnQI5zPPfdcFmXWq6qqhAhdvNV5Wn4GxNNjZE2fHhZpXUpxCR8NJUUSBLMjEM044oST2z0md2f48OFBkRu2kdX56UNjg3OvGhJGXaf78Q0dWk2F6r3mzg2Isi5pn/9LL71U0pjwkdgW2RDMOCCaCTDh5F6rLrEEkcg4p8KSKWcGqK7zksI8WJ0uRM7OrslevDiS9/zz/URkxhWoD2b//v0zysrKtH4ErSV3ZU9MPUA0kxDX5IOrrZwCPdVpBVFNTY2whA7Vdb604Hy47C4j5opv3ZqXMXmy0J6rS5cuDY8cOVLLCh+Fe7yylpwXiGYX6BVOcte/9rWvBUTvr6647LQUM92XgrZzDoWWQOZv2SLUFZfi3PE777xTzy6nN3mhW5FWIJrdQG5JNBodqaWWU4pz10Vm1xVoKWblwxdnIN7pLChuSVlxWgIpoitRPNRwQ6c7Tp7RKLf3w9QLRFMFzE25Tev7KbtOtXEUYxI5LsqyK/HOq88/pVrkZwOxUAlRzsqVDRS3FL09hbK6R2PDDQXyqEa6ueO6KCCaKmHbkE7SkiCSTi6/DFKSSPSulxTvfGb28H67l4+VIJ72gsSSkjzBd94JpE+YIHxjPXoQn3XWWVpX9yisc/OePqKBaHLAenJqjnNKLElEk1y01SlBPG1FvFiKTvJIzLqkBzA9iDUWqyvcRp4UMuTqgWhyEpcg0hTnlAy2OiWIp6UYLZZSnHWpo/ZSYh7TpcyDAhxANDXAEkRTtRbCKyhWJwXwjRgnxNM8zBBLyoxTUlGAdVkuSVJBNBrVnDHyMhBNHcQVwmt212nyUwCffgwi6zrjiRdPWtOOTd7EQdnwnEcekYwUS+KJJ56IZcYpqajzo6j+Eit8dCBHo1HHDt4uyLKcK0kSuTk36hlSbm4u1deF77jjDj01dj0SbmiVlv11T3j1y/vawpHWPLtdT+Keymcrb6ouH2KDoSQl7ZJLqrJ+8pNBojPhiVA/gx//+MdBHWVECvRALoF1qR+IpkBkWS6RJImsT12iV1BQIJWWloZGjBgRNHrMvy/fH/nfzVVHP/yyvp/R38WDLUXT749kXHPNsayZM4XXWCZCrvitt94a1ZkVV6D140j2CAKiKRhZlguYcI7T+8nFxcXSX/7yl3BeXp6hliexc2+dtGTDv6tf2nk4p7m1zTA3Uy12Ek3aYqLXz37WK33ixEyRq3e64te//nX14sWL++mouVQg63IOitXFAtE0CFmW50iStEiv1UnMmzev8d57742mpaUZLmbkuq96+cua5ZsqU2qPtRou1l1huWj6/ZH0Sy45mnXrrUKbaHQHJQRvuukmvUkehXJmXaL2UjAQTQMRaXUq8c6f//znfr/fL7xIOhlWWp9WiabZViXxwQcfVM+aNaufgLilxKzLRSglMg6IpgmItDop3rlixYrqa6+91rQYJFmff/nnIVNjn2aKJrVmS58w4bgZscp4qFriuuuuCwgSSwnWpTlANE2CWZ309L9WxDdaIZ5EZahRevbtgzW/3brv+JdHGg1LVBkumn5/JG3MmFDGlCmD0sePN+xrkkFiefvtt6cJSvJIiF2aC0TTZFiGncRTiCBYJZ4SE9BfPf/v0IZth1JFly4ZJZr+ESOqMmfMMF0oJWPEUmIr0+YgM24eEE0LYHWd5K7PFvXtVoqnxOKfj235MvRSxeHjB2qbdI9BmGgyizL9iiuCZsYp4zFILCuZK466S5OBaFqILMsjmdWpO1GkYLV4SnEu/B9eP9jw8YFjmoKEekSTYpT+UaPqrXC946HC9F/+8pe9BIslueIr0CTYOiCaNkC0yy4x8bz55pvDt912W5oZpUpdoSSRnv/XodDLH9YE1WbheUWTst7p3/rW8YxrrzWtRKgrBGfD41nHMuNI9FgIRNMmMJd9DjuE1UdSqdLNN99cc/vtt6eYUSTfE+TGb955uEcrtCfRjLcm04qKJCvc7kQ2btxYPWfOnH6C6izjKWdiCVfcBkA0bYaodezJKCkpkRYvXlx97rnn2mbJ5Ku7a6S/vReqfqnicGu8iCaKZkrfvtW+wsJmik36x4zJNLM0qDtoG5OHHnqo+fHHHw8YIJaVTCyRFbcREE2bIrIwPhEl7nnllVfmWOm6J0OxRAdsL2u6JrNaTr/00n6+YcNsYUnGQy74ypUrcwTHKxVQoG5jIJo2R5blYpZpFy6e5LpPnjw58j//8z/HBg0aZHhzEKdDVuXf//73o4sWLepHu40aQJh5GStQQmRfIJoOwUjxJEaOHCktWrTIltan1ShZ8PXr12cKaKKRDIilg4BoOgyjxVOxPmfPnn3UTrFPswmHwzXr168/vmTJElENNJIBsXQgEE2HYrR4Siz2ecMNN9gm82405H5v2bIltGrVqkGlpaVGfhvE0sFANB2OGeIpMff91ltvDU2ePDk1EAjYstu7Vt5+++2qJ554Imig+60AsXQBEE2XwFYXzTGiVCkRNwioiUIpKaVDkiSVQiydD0TTZbBSJRLPqSKL5LvCKQKquN4bNmwwSyglVpS+FnWW7gKi6VJYkfxUJqCm9KVUYqA33nhjQ2FhoeXV55TM2bhxY8OGDRsGGhyjTGQdE0us4HEhEE0PwNa2zzE67hkPZeFpj6MZM2ZUjR07trdZVii53Rs3buz91FNP5RmY9U5GJVuMsBZrw90NRNNDmO26x6NYoddee239+eefHxRVC7p79+59mzZt8r3wwgtGNMhQA1xwjwHR9CiyLE9l4mma9RkPxUJHjx4dmTRpUojHErWBSEosC76WZcFhVXoMiKbHYdanIqCW7f5I7jwJ6dVXX139H//xH83BYLCN/v7NN9/0vfbaa/nbt2/PNGjpIg8bmVVpaoAU2AuIJmiHxT6Vw/XF7CqpiItVolwIQDRBZ1jmXRFPIRvBOQxK6pTC/QbJgGiCbvGQgCpCSRal5XEAYF8gmkA1LhRQCCXgBqIJNBEnoMUOi4FWMKEshVACLUA0gRBY4xDFCrUsC58EKg8qY0JZhhgl0AtEEwiHlTEVx1miZluhFYpQYikjEA1EExgO68BUHHeIFlFFJMuYNYnSIGAYEE1gOgkiOlKDO1/OBHIHRBKYDUQTWA5LKilCWsD+fwSLR+5gAkmxyB1I3gCrgWgCAAAHKbhYAACgHogmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABwANEEAAAOIJoAAMABRBMAADiAaAIAAAcQTQAA4ACiCQAAHEA0AQCAA4gmAABw4LPTxZJluUCSJDqK4/66OOFltZIk7WD/v4cdO6LRaK2JQwUeR5blXEmSRrL5WsCuBv05N+HKlCX8f200Gt3h9evnZORoNGrJ8NmkK2YHTbZxOj8yzCYlTchSO0xMWZYXWT2GBHYoDx08ZPiQZbk4Yb4GdH5kRcJ8tex+6JinNI9KBQ/HcGRZnhr3oOOhLBqNlpkqmkwoS9hxrcFfRyJayiakJTdWlmVrnkjqCLMfrPLDLYOQdkSW5ZK4+apXJHuCRHQtm697DP6uDsiyPEeSpIc0vn2UkyxnJpi/1/BWuj/Fsd8IiabRB3s604SIWnTQJKSnaYEZ56scFp6v1oMEdI7Z18lOB7NAVjCL3Mr7MNXkuar190m/rVyH3NuRGu8rvWdk++cYPMhiNgHsJAxrzRIFB4pm/EHWeYmTBE/AXC212T0gQZpqhiixWOwOjeMsc8D9zWXXU8v5dXiAGTkB7SaWicdaoyejzc+f64dr9x+FjntUYEOxtOQe6LDE6Fhk8/us9R6v7fRZggeWa7EbznvQBJlj4I1yynWwzQ/XxB9RLgvZOOke7GBxNSOvS4mO8dnSM9Fxn3ck/TzBF9vKOJCeo8wIl92h18LyH64JP6JiHa6aHY4VRnpJ7PO1nGeH2J+N7rXWc0mqCSIG5TTrsruLJNSScsE16e4w9IdrQ0Gw27HDSIHSEd/cYZd5wUIvWg25Lq1mvYMaqePi2vXoFMPQcX3cLJpRZq3ZyrLo5l7oSXTY9RD+oE+4XloFR9hvSOc5aL3fK7r9XB0D0hM0tvsh5GnpAdFUDlvHOl0+V6M9/ch1XDetrm3UyFyByrFr9X57rATQVNyuo0BUDZXMglGWnylLJRXil60Vs/8fYsA4ThazasTmxe2iWReNRqfabVCyLI9kc8mI4nRlgYCy0ip+ia+Csgy4gIn3CAPGIRl1/Z1Y+K5Dn8Isjtn9b16Dgk8V/JSsZU8FzfVozJUoYZ8j0qLQZXGKfsLptBiKWRZxrYFJEMPLuDTMVdEWZin7XM2JQ3YvVhhwHwxxi3WU69SaPR/Yg0nr9VOV4NQyCUXdYMNWPbBxiqoT1SycvNfD5MlVwK6T6BpFWyQCdP54kp2TIUXmBqyWEy6cOgvDk5btGHTP9YxTdTjBiklYZlbJisAie01CYGfRTBhnAbNCRVllpv1QupmrIs7FzLlaIFA8jRBOPdfUkJhrkjFq/a2Xcn0Pxw3VOwn3WFX8ylx3va4Q90R0imjGjTdXoHhakkHVmfVVDsOy0irGXyDoQS88EaPT0zT0euooYOdeO692Euot1bA81sXOQ09shnuZmNNEM+FaibB6TLEwEsaud66W2iS8MEeA+Au3knXMC8MK33WuYuIek5EXSTlsVY6i4WlZqjXo71TRjBt/sYAfrmnehYDCdUvLZJKcj946aOGJGJ1GlPB4t86wgSZt6mlAehTcdkuq4s5LjRjs0fukdrpoxv1I9LiLXS5HM+Ce6hmjXddN673+XPE6lWPSE64TNh6dAq45fNTTgLReGNsKZtz5dfWE0uSKd/EdjhfNuHPR43EYem46s6a2n6sCrr/wB4JOg0rU70vrNdFXStjNgFyzaL+bc0wUTqGxRdAQTwAAC61JREFUVzeJZlRfsD1qcDcp18/VqP54ohHlUnrmg14vbo5V97yrAWktL3LUJIyejHEa0rnHbaIZd720zg0jOkkVWPXDtej6a3VHDel3qSN0oHk+6Cx/1G11i74Qnun0rfLmuk40o/osHiPqB7XOVUf2BtUZijDioaUnjMddz6vz+4RUc3Ta95ztuqdlZ8h7nLgzHeCHrXHeqOGtN7JtmoWgY67SOu21Trz1bF10ica3C98dlY0ncZtttYyQZZn3PmjtI1ARjUbnaBxnBzqJJosV8FIejUbttl0tMJaprLkKLyLniZa5WqHxfbaBNcG4R8N4bmQ7wgqFjec2jZ95I2uw0SOyLK/Q2PAkrONB05kE01drfMhRcUwTXSlXuudx56c1tqTbTdQxVx3ddT7hGmiJbxq2l4/ODH+3GqJzNZLQe55oaWp5At/jpH2PgTjYfV+p4QNFWHpaPoPc8jIVr3MKWq6Bke375jBLXgulXVnBrL3fCo2fe4/oe96hn6Ysy7Wc8QJ1/ec8Cmc/TQpxaI0NWQab6Ht45000GtXlJsqyvEdDH9XTo9HoHhWvcwyyLJdpiOtOMir/oLN/aaffAJtfZRrdckN+U+2WpizLJRpOdAUE09uw+89rBQTYfNMEey+vYK5zm2AytMSIxcX3EmDeh1ZPYpwsy4nns1ajYFYadZ7x7rmWL9BqMgN3sYJ5HTzomdBarAdXJiqZ68nrEhsmmtKJMa3VGLYh7lYeqExAr9X4OSVGGXTxosk7ETfCygTSSWuTt3REzw+X970bXWplKmix9EcaN5zYnNAT31zLttm4W+P7bzMyzxITTVY7x+vuOLLODRgG73zQ9MPVOFfdXj+s5fwMtTbjvoPXA5FYmFDrvkT0gDTUA1YsTS3ujpuykEAn7MnOW7epZd5peY+rRZNZ+ryLDQy1NKUT49pjkjgrVBhcHRBDEU3eC1gO1xwkgVectPxwed9T4ZG5ymvEmFKpwWKuWgrxeQmzpbGG32utogkrEySDd16YIZpemau85xkwYnVQMthqQS3LbnmYY1a9uI/9l3ciopgdJIN3XmgpJeGdqyVGJz0czEgTHypKNzHeeLQaTO0loIgmb32mmzORQCMUw5JlmevNZO1wulS8c3WIQT9UNyCseUpP0D1mpUTvCf7oCtZAxjRStDyFsWwSdEM558VRPf9gMQrHNNGUTurGTQI/UmwjDpWksP50ADgBzFWHw9zodYLOYqoV9bfJWsP1hJZ2YAAAoKCn8F1hpVX9e7WIJuKZoDtQWeEcTHXPFTSuIEvEsmWxWkQTAOAOLBFN1nFf64ofBcsWLGgRTcSVQHcgWeMcTC/6Z7WhIgQvWUckU9Aimlpq64B3wEPVOVhRBVOqsddmMu5mVqupwD0HAJgC2+NHy0Z43VEqcrM+NaRoSeyYPUjgKHjdcx4XEf0OHAorbJ9twOgDZsc3UzTWOUE0QSdYvIrL9eJZKIFFFcIx5XoyI8vIZY4jmBVrCsoyykrOpWbFKC0BSeC1MrX0WgxzCvM92F7aOuISP6LimF0xW5blHWasQVdimrzWJjKkIBm8QXktlg7vezBXrUXrXuVaWGHGUltFNG3Ziw84Dt51wFq8FV7RxFy1CFmWqZHGjRq/XWvH97VGt7xTRJN3Ihq+xwhwFmyi8loUWixNLX0jTW/q4HV07lV+m44O7COM3vBRq6UpmdFWHjgKLfNBy7zT8h6IponojGNSb8wVbF251o7vN7KN2QxBjkajsc+lICqnpaB7w3+3I8tylOMUDdnY3ixkWd7DmUykPoiavBUtc5UqPrBFiznIslyqcetdauJRHH+fZFku01HbOcqIiov44nYtuwnC2gTKWmIzdzPlrcsLwNo0B2bhaRHMrvb4KdHRWa3UiPhmvKVJtVT/5nx/ZTQaRc1mF3jF0tRoDZyutRci5qo9YXFMrZ3ZJ3XV6o19bplGd5+29BX6wGy3NNkE5u26PQTWprdh959XMDfqaR7L3svbj3GIkXEur8MsOq212932xmQuttZ7d63oxh6Ja8+1uEyLzNrVDtgLdt+1ZCpFFCBr+V7MVePQmvghD6tHQdTZ8V1oY48OoskGxhs/GGJlQ1BgKWs1/FAqRXTcZnOVt5YvYPByPk/CLDktyRquPX7YBmpaO74Li2+2xzTb/+LEBbhbw2ddyjaGByevpWtjmswt/72Gt94kaqmbjrnaZfzMCejoSVkmekkpq4HdoPHt3NltFs/eodGq1Vyx0QESzfiD9UOkDFaU86D35CZ+npcPzutX5pRrxZYm8s4POvYIHoeeuTrSqXOTxQ61XP9iweMo0Hj96Zij43uLNX4nHSv0nnenfpos5a8l6BpwYhMPysyRxYJYlzriMplaEJo0ZHNVi+VkynI7I5Blea1GV7jcAE9QVwG71i9l53GbxrfP1r1CrBs136FRydc66ImdG3eelJEtEfz5rrI0mYWp1bIoNXBcezSOaYeTvCP20NFqYQm1rFls2NJrzkRbyxh0eRrdDUiPCWx74UwQzA7ixVaPiPgO14imTsE0NHSjd646QTh1CqZul1TQWISGRbr5DRsq3j0NaoUbJ6PKi71I7/jdIpo6f7BR0Ra8AXPV1hYnC5dpPbc9Is9N58NT+DzQOR5Nxl1PA9Kj5LacjOwiq3XnatnSLq3f5WjRZPdfqxuma2JqHKveuWq75JCA628Xy26RgddIz0Od+/etZkB6lFwRHqFZO50XV8u5lGmZfE4WTebyao0VtguRyWMWMVcNt4pVnkuBzodAVE+GuosxaY0hGj63dXga3CEDtQPS655F2UlZYnWyJ6TWG64c3OUyThRN9mPVe62iot1CjvGLmKulVnpIzB3XI/5R0Yk3HSEC0+aBjlIsrjHyDEhPzEg5dLm7Fk5ATQFsJ4kms9L0uoK6rpfAc1kk6Bx0x7U5x10swLqMig6L6ajLjZo5D3TU7UZ5HjK8gxL1o9rDxMyQCcku3hwB7qUuAbC7aLLrNFXQD1X39RJ8biIfAIaKJ7sHWq2kxEO0YOoRIlMNpKh+gVcVzrByMirHWrb+VG+mOpd9zloBlqWQG2830WSudwnzGkQKZbzA2CaZYsBcLWUCp1uUmFW5QvBcFV7apUPMLSs71Bmi6TH/0mntuRrYqgStGyZ1Rzn7Me9h/61NtjaVrUrJZU+VAvZfrd2du0Jpiqp5jTLn2vOwgftQF2hoEsxLBbtettqb3MC5WsHul3JIyVbcsLXS8UexAXNVStb1XC861vYLHwsvOu57z13+bfQUt9MhxGJy8fVJPMpsXucoIh5v50N4aZ+OBQO1ohaH6By/nvKobr0+vQMTkam02yGsXs8jgmlY/Z3gH5Eb52rUiEy/zkYctijZEnAeXa6iEjGwYsFxGddMQJf+SJVjj13qbznuB8/CBicchjyw7FjAruNcSnTcx6QPAFEDyxWY/bPiqBVdCBx1t2iaWooj+J6IqNm1+jDsgaUjlGHnZcBaS9CShhpED05ETaTZh7AGHUmuh9vE0rBrZcEPqcShHpJhi0R0hDAsWcjAeW5aH5SdVrUZMTgR65XNOIS3gktyLZz2g+zqKHOaK84xV0UUwpt1Dwwr59K5BNX2DZ3ZvdYamulQPmXkIEfa1GXfY1bRrUN+jN1OFid3OOe4TwU2ftCb8XDXk2k2vYBdx3nqeTC0n6dZA7XDhNxhwRJOO/4IezqEFXA77YgTTzu47WVmZaJ1/D4d03A87lx19wI1c7DK0kYjVqJ0d6KWWUsOEck97Bp5Uii7masilzby3IsVZsaNdTTiMLWDleBz1prsitXDaloRpBe2SqKEHaJXR5SzyV5m9e6Ysizbbc+kWmWllbKSxcpVG06AzdViNleLNe6J0x3KfC01ezWVjl0tJea17RE8JNOQZbmUPRx5KbVENBNhG7krS82UbWxHdjNBK9lTWWITrpYJALYQBobClvDGL9/NVblMtZz9t32ZMOarA5Ek6f8DYsJ91gMa9nUAAAAASUVORK5CYII="
  ["slug"]=>
  string(14) "vector-synergy"
}
    
Pobierz PDF
FORMULARZ KONTAKTOWY
Imię

*

Nazwisko

*

Telefon

*

E-mail

*

Firma

  • {{ order.city }} {{ order.date }} {{ order.price_without_promo }} {{ order.price }} {{ order.price }}   {{ order.code }} {{ order.price_without_promo }} {{ order.price }} {{ order.price }}  
Poligon Cybernetyczny Windows Backdooring (BS-P-SWB / PL AA 1d)
Cena netto
3900.00 PLN
+ vat (4797 PLN brutto ) 1. os.
Czas trwania: 1 dni (ilość godzin: 7)
Zadaj pytanie o szkolenie
Poziom
Advanced