#version: 0.2 - Trained by `huggingface/tokenizers` Ġ t Ġ a h e i n r e o n Ġt he e r a t Ġ s Ġ c Ġ o e n e s i t o r Ġ p i s e d Ġ w i on a l Ġa n in g Ġ in Ġ f a n Ġ b Ġ d Ġo f i c Ġ m Ġt o r o a r Ġan d e c l e a c Ġt h u s a s en t e t Ġ re Ġ e Ġ n at ion o m u t u r Ġ h Ġ is Ġ T l y s t l o v e i l i m u n i d u l v er Ġth at Ġp ro Ġ I Ġ on ec t Ġf or i g Ġb e o t a m Ġ A Ġc on ac k c e i f Ġ ( Ġ l Ġ g Ġa t Ġ S e l Ġ us Ġa s o d it h it y Ġs t o l a b e m Ġc om es s Ġe x Ġa l ĠT he o w c t er s Ġ v at e Ġw ith Ġ R Ġw e Ġa re s e Ġ C a in u re c h Ġ it a d t er a g Ġat t i r p p Ġo r a y Ġd e q u Ġw h he r Ġb y r i Ġatt ack p t Ġc an Ġ F Ġs u m ent Ġ r is t Ġcom p o re Ġt r Ġ W i es Ġ M f or i ve ĠI n ro m Ġa d Ġ P or k es t Ġn ot re s u m k e Ġ D i al Ġ y Ġth is i z Ġf rom for m p er an d E F il l a re Ġd at Ġ 2 Ġ en c c t s y st Ġ lo Ġ 1 e re o u o s Ġ B Ġa pp Ġn e et w yst em ion s Ġcon t ĠR EF i v Ġ im ic h Ġs h Ġ un p le Ġh a at ed Ġ le ac t ation s ic al u d Ġs ec Ġin t ab le Ġc o Ġre s an t ac h Ġm od â Ģ Ġwh ich ag e ar t Ġ H Ġs ystem us t Ġc h or t al l ur ity Ġ E o ur Ġdat a in e t her o c Ġha ve Ġ N Ġs p Ġ O n t f f en d ig h i re b er ul d Ġw he lo w p l ig n o us ver s as s ar d Ġp er Ġs e ect ion a p Ġ L b le Ġa cc u p i le ĠT h g e etw ork Ġw as am e Ġin c an s v ic Ġ G o un s o ic ation Ġs c u ct Ġc l Ġ he o st Ġmod el ul t w are f ere 0 0 Ġ U Ġh as Ġn etwork Ġw ill Ġsec urity d er im e âĢ Ļ a il Ġy ou ' s id e ab il Ġs er om e an ce Ġd et Ġp re ec h b o Ġ k g r Ġe v en s ar y a k u al ĠW e as ed Ġthe ir as e form ation Ġus ed Ġm an Ġo ther g h Ġal l Ġcom m o uld Ġad d Ġd o c id t h u e r y Ġus e č Ċ Ġd if it ion or d Ġs o Ġal so Ġm ore or s Ġd is Ġde f Ġ " Ġattack s ) . in d ĠTh is y s Ġthe y ent s en ce Ġo ut Ġo ur Ġon e Ġin formation ar i Ġsu ch Ġa ct e p Ġd es el l 0 1 res s st r en er i p Ġb ut c k Ġo b i e Ġ ro as t Ġs et ow n c ess Ġex p Ġit s p ut igh t Ġp l Ġin ter at es ac e od e Ġim p Ġt ime Ġa g Ġpro v ri b Ġre qu Ġp art Ġcon s Ġas s 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Ġin st Ġun der c ed ĠI t Ġb etween Ġdis c Ġ K i a Ġabo ut Ġf irst res ent aus e g or Ġv ulner is e Ġt arget Ġ ident at ive Ġv ari o p ig ure Ġf ol ical ly Ġres p Ġc or Ġin v ve lo Ġb ot Ġre g Ġthe n if y o ut s s ul ar ro ugh Ġm ost Ġpro p ic s iz e Ġthe m Ġg r Ġtr ain Ġli ke Ġpro gram Ġ 4 Ġc r ff ect o log e ar Ġsh ow Ġfol low Ġexam ple Ġp at ire ct iz ed f ore Ġfunct ion ac y Ġ ent o g Ġs ame Ġco uld Ġfor m t r velo p Ġc ode Ġke y Ġt est k s en c er m Ġre m i qu Ġb u n ce he s Ġattack er Ġc all Ġadd ress l ed g an Ġ 5 Ġprov id et s ing s he d Ġb ased Ġ 0 Ġth rough t e Ġs m Ġag ain Ġin f if ication un d Ġcomm un ) ( ay s Ġus ers Ġal low Ġen c gor ith f ul Ġwe b Ġadvers ar Ġc ol Ġde velop p lo Ġex ec Ġcon f ou gh it s o b f ter is h v ed l es Ġp riv Ġof f re d Ġlo c Ġdes ign a w Ġrequ ire ec urity Ġapp l Ġsh ould ĠA s Ġ [ Ġr un Ġle ar Ġm em d uct u es ft ware on s Ġh igh Ġf r ic e pl es Ġfe ature Ġcons id Ġp ass ent ial ys is ap h lo ck Ġp ar Ġsu pp Ġ âĢ Ġkn ow ur ing Ġs ol oc ol an ge 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Ġa b at or Ġbe ing olog y Ġc er p h enc y Ġor der or m Ġdet ection Ġs ens Ġ et Ġres ult Ġp ack cc ess l ine Ġval ue Ġm on Ġm in it ive Ġm ach ow er Ġw ay y n Ġo pt ar ge Ġcol l Ġmal ware Ġr is ĠC h Ġse e w ard Ġp resent ot her and om Ġw r al u c om t t al s p en us s om ain Ġdet ect Ġimp ort Ġb lock Ġex t Ġex ist Ġs el Ġa fter ate g Ġg et ĠC on Ġc he ĠThe re Ġproble m Ġst at Ġposs ible are d Ġn on Ġh and f er Ġappl ication Ġs am ol d Ġco un Ġde p Ġin s Ġfollow ing lo ad Ġapp lic T he av i Ġ est ro w Ġh ard Ġman ag Ġadd ition il d Ġmal icious urre nt Ġth ose Ġprop osed y m Ġpre d Ġe very iv es Ġg u Ġlo w Ġwith out Ġf ound ent ion Ġe l Ġm ust ak ing Ġre ce is ion Ġprov ide Ġev alu uct ure Ġlear ning v es Ġob ser a pt Ġ 8 Ġnetwork s Ġl ist Ġperform ance Ġen d Ġpol ic Ġav ail Ġexec ut Ġ very Ġ vers Ġpro per ur ther Ġf act Ġl arge en g p r Ġob ject Ġmem ory Ġhe l Ġcon c o ple od es Ġde vice Ġ2 00 Ġ1 9 Ġspec ific ind ow Ġd own Ġpub lic i an Ġcomput er Ġrep ort Ġpo int o ve Ġpro b Ġ X Ġact iv 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