{"id":1837,"date":"2023-03-02T00:18:09","date_gmt":"2023-03-02T00:18:09","guid":{"rendered":"https:\/\/securitybriefing.net\/?p=1520"},"modified":"2023-03-02T00:18:09","modified_gmt":"2023-03-02T00:18:09","slug":"hatekony-tobblepcsos-adathalasz-weboldal-eszlelesi-modell","status":"publish","type":"post","link":"https:\/\/securitybriefing.net\/hu\/adathalaszat\/hatekony-tobblepcsos-adathalasz-weboldal-eszlelesi-modell\/","title":{"rendered":"Hat\u00e9kony t\u00f6bbf\u00e1zis\u00fa adathal\u00e1sz weboldal-\u00e9szlel\u00e9si modell"},"content":{"rendered":"

A phishing a leggyakoribb m\u00f3dszer, amellyel a kiberb\u0171n\u00f6z\u0151k ma inform\u00e1ci\u00f3kat lopnak, \u00e9s ez a kiberfenyeget\u00e9s egyre rosszabb\u00e1 v\u00e1lik, mivel egyre t\u00f6bb jelent\u00e9s \u00e9rkezik az adatv\u00e9delmi sziv\u00e1rg\u00e1sokr\u00f3l \u00e9s a p\u00e9nz\u00fcgyi vesztes\u00e9gekr\u0151l, amelyeket ez a fajta kibert\u00e1mad\u00e1s okoz. Fontos szem el\u0151tt tartani, hogy az ODS phishing-\u00e9szlel\u00e9si m\u00f3dja nem teljesen vizsg\u00e1lja meg, mi teszi a phishinget m\u0171k\u00f6d\u0151k\u00e9pess\u00e9.<\/p>\n\n\n\n

Emellett az \u00e9szlel\u00e9si modellek csak kev\u00e9s adatcsomagon m\u0171k\u00f6dnek j\u00f3l. Jav\u00edt\u00e1sra szorulnak, miel\u0151tt a val\u00f3s webk\u00f6rnyezetben haszn\u00e1lhat\u00f3k lenn\u00e9nek. Emiatt a felhaszn\u00e1l\u00f3k \u00faj m\u00f3dszereket szeretn\u00e9nek a phishing weboldalak gyors \u00e9s pontos felismer\u00e9s\u00e9re. Ehhez a szoci\u00e1lis m\u00e9rn\u00f6ki elvek \u00e9rdekes pontokat k\u00edn\u00e1lnak, amelyek felhaszn\u00e1lhat\u00f3k hat\u00e9kony m\u00f3dszerek kidolgoz\u00e1s\u00e1ra a phishing oldalak k\u00fcl\u00f6nb\u00f6z\u0151 szakaszokban t\u00f6rt\u00e9n\u0151 felismer\u00e9s\u00e9re, k\u00fcl\u00f6n\u00f6sen a val\u00f3s weben.<\/p>\n\n\n

A phishing t\u00f6rt\u00e9nete<\/h2>\n\n\n

Ne feledje, hogy a phishing a szoci\u00e1lis m\u00e9rn\u00f6ki t\u00e1mad\u00e1sok egyik gyakori t\u00edpusa, ami azt jelenti, hogy a hackerek az emberek term\u00e9szetes \u00f6szt\u00f6neit, bizalm\u00e1t, f\u00e9lelm\u00e9t \u00e9s kapzsis\u00e1g\u00e1t haszn\u00e1lj\u00e1k ki, hogy r\u00e1vegy\u00e9k \u0151ket rossz dolgok elk\u00f6vet\u00e9s\u00e9re. A kiberbiztons\u00e1gi kutat\u00e1sok azt mutatj\u00e1k, hogy a phishing 350%-val n\u0151tt a COVID-19 karant\u00e9n alatt<\/a>. \u00dagy gondolj\u00e1k, hogy a phishing k\u00f6lts\u00e9ge most a hagyom\u00e1nyos kibert\u00e1mad\u00e1sok k\u00f6lts\u00e9g\u00e9nek 1\/4-e, de a bev\u00e9tel k\u00e9tszerese a m\u00faltbelinek. A phishing t\u00e1mad\u00e1sok \u00e1tlagosan $1,6 milli\u00f3 doll\u00e1rba ker\u00fclnek a k\u00f6zepes m\u00e9ret\u0171 v\u00e1llalkoz\u00e1soknak, mert ez a kiberfenyeget\u00e9s megk\u00f6nny\u00edti az \u00fcgyfelek elveszt\u00e9s\u00e9t, mint megszerz\u00e9s\u00e9t.<\/p>\n\n\n\n

A phishing t\u00e1mad\u00e1sok k\u00fcl\u00f6nb\u00f6z\u0151k\u00e9ppen n\u00e9zhetnek ki, \u00e9s \u00e1ltal\u00e1ban sz\u00e1mos kommunik\u00e1ci\u00f3s m\u00f3dot haszn\u00e1lnak, p\u00e9ld\u00e1ul e-mailt, sz\u00f6veges \u00fczeneteket \u00e9s k\u00f6z\u00f6ss\u00e9gi m\u00e9di\u00e1t. F\u00fcggetlen\u00fcl att\u00f3l, hogy melyik csatorn\u00e1t haszn\u00e1lj\u00e1k, a t\u00e1mad\u00f3k gyakran ismert bankoknak, hitelk\u00e1rtya-t\u00e1rsas\u00e1goknak vagy e-kereskedelmi oldalaknak adj\u00e1k ki magukat, hogy megijessz\u00e9k a felhaszn\u00e1l\u00f3kat, \u00e9s r\u00e1vegy\u00e9k \u0151ket, hogy bejelentkezzenek a phishing oldalra, \u00e9s olyan dolgokat tegyenek, amelyeket k\u00e9s\u0151bb megb\u00e1nnak, vagy k\u00e9nyszer\u00edts\u00e9k \u0151ket erre.<\/p>\n\n\n\n

P\u00e9ld\u00e1ul egy felhaszn\u00e1l\u00f3 \u00fajra kaphat egy azonnali \u00fczenetet, amely szerint probl\u00e9ma van a banksz\u00e1ml\u00e1j\u00e1val, \u00e9s egy webes linkre ir\u00e1ny\u00edtj\u00e1k, amely nagyon hasonl\u00edt a bank \u00e1ltal haszn\u00e1lt linkre. A felhaszn\u00e1l\u00f3 nem gondolkodik k\u00e9tszer, miel\u0151tt be\u00edrja felhaszn\u00e1l\u00f3nev\u00e9t \u00e9s jelszav\u00e1t a b\u0171n\u00f6z\u0151 \u00e1ltal megadott mez\u0151kbe. A b\u0171n\u00f6z\u0151 feljegyzi az inform\u00e1ci\u00f3it, amelyeket azt\u00e1n felhaszn\u00e1l a felhaszn\u00e1l\u00f3 munkamenet\u00e9nek el\u00e9r\u00e9s\u00e9hez.<\/p>\n\n\n

Mit kellene jav\u00edtani az Antiphishing m\u00f3dszerekben?<\/h2>\n\n\n

Ahhoz, hogy erre a k\u00e9rd\u00e9sre v\u00e1laszoljunk, meg kell \u00e9rten\u00fcnk a tipikus phishing folyamatot, amelyet a k\u00f6vetkez\u0151 \u00e1bra mutat be.<\/p>\n\n\n\n

\"Mit<\/figure>\n\n\n\n

A jelenlegi mainstream antiphishing m\u00f3dszer a g\u00e9pi tanul\u00e1son alapul\u00f3 phishing weboldal-\u00e9szlel\u00e9s. Ez az online \u00e9szlel\u00e9si m\u00f3d, amely statisztikai tanul\u00e1son alapul, az els\u0151dleges antiphishing m\u00f3dszer; azonban a robusztuss\u00e1g\u00e1t \u00e9s hat\u00e9konys\u00e1g\u00e1t a bonyolult webk\u00f6rnyezetekben jav\u00edtani kell. Az al\u00e1bbiakban \u00f6sszefoglaljuk a g\u00e9pi tanul\u00e1son alapul\u00f3 antiphishing m\u00f3dszerek f\u0151bb probl\u00e9m\u00e1it.<\/p>\n\n\n\n

\u2022 Az antiphishing m\u00f3dszerek egyre t\u00f6bb jellemz\u0151t t\u00e1vol\u00edtanak el, de nem vil\u00e1gos, mi\u00e9rt t\u00e1vol\u00edtj\u00e1k el ezeket a jellemz\u0151ket. A megl\u00e9v\u0151 jellemz\u0151k nem t\u00fckr\u00f6zik pontosan a phishing term\u00e9szet\u00e9t, amely az \u00e9rz\u00e9keny inform\u00e1ci\u00f3k ellop\u00e1s\u00e1ra haszn\u00e1lja a megt\u00e9veszt\u00e9st. Ennek eredm\u00e9nyek\u00e9nt a funkci\u00f3k csak n\u00e9h\u00e1ny korl\u00e1tozott \u00e9s specifikus forgat\u00f3k\u00f6nyvben v\u00e1lnak \u00e9rv\u00e9nyess\u00e9, p\u00e9ld\u00e1ul specifikus adatcsomagokban vagy b\u00f6ng\u00e9sz\u0151b\u0151v\u00edtm\u00e9nyben.<\/p>\n\n\n\n

\u2022 A megl\u00e9v\u0151 algoritmusok minden weboldalt ugyan\u00fagy kezelnek, ami a statisztikai modellt hat\u00e1stalann\u00e1 teszi. M\u00e1s sz\u00f3val, a modellek nem alkalmasak a val\u00f3s webk\u00f6rnyezetben val\u00f3 haszn\u00e1latra, ahol nagysz\u00e1m\u00fa bonyolult weboldal tal\u00e1lhat\u00f3.<\/p>\n\n\n\n

\u2022 A legt\u00f6bb adatcsomagban nincs elegend\u0151 minta, \u00e9s a mint\u00e1k sokf\u00e9les\u00e9g\u00e9t nem veszik figyelembe. Emellett a pozit\u00edv \u00e9s negat\u00edv mint\u00e1k ar\u00e1nya nem re\u00e1lis. \u00c1ltal\u00e1ban az ilyen t\u00edpus\u00fa adatcsomagokb\u00f3l \u00e9p\u00edtett modellek sok t\u00faltanul\u00e1st tartalmaznak, \u00e9s a modellek robusztuss\u00e1g\u00e1t jav\u00edtani kell.<\/p>\n\n\n

Milyen el\u0151rel\u00e9p\u00e9s t\u00f6rt\u00e9nt az Antiphishing m\u00f3dszerekben?<\/h2>\n\n\n

Az elm\u00falt n\u00e9h\u00e1ny \u00e9vben pr\u00f3b\u00e1ltak kidolgozni egy nagyszab\u00e1s\u00fa, megb\u00edzhat\u00f3 \u00e9s hat\u00e9kony antiphishing m\u00f3dszert, amely a val\u00f3s webk\u00f6rnyezetben m\u0171k\u00f6dik. Ez a m\u00f3dszer statisztikai g\u00e9pi tanul\u00e1si algoritmusokon alapul, amelyeket a k\u00f6vetkez\u0151 tesztek jav\u00edtanak:<\/p>\n\n\n\n

\u2022 A phishing t\u00e1mad\u00e1sok mint\u00e1zat\u00e1nak r\u00e9szletes elemz\u00e9s\u00e9vel statisztikai funkci\u00f3kat tal\u00e1lni az antiphishinghez. A jelenlegi modellek a \u201chamis\u00edt\u00e1s\u201d, \u201ckapcsol\u00f3d\u00e1s\u201d, \u201clop\u00e1s\u201d \u00e9s \u201c\u00e9rt\u00e9kel\u00e9s\u201d funkci\u00f3kat vonj\u00e1k ki. Ezeket nevezik \u201cCASE\u201d funkci\u00f3knak<\/a>. Ez a modell bemutatja, hogyan haszn\u00e1lj\u00e1k a szoci\u00e1lis m\u00e9rn\u00f6ki m\u00f3dszereket a phishing t\u00e1mad\u00e1sokban, \u00e9s mennyire relev\u00e1ns \u00e9s j\u00f3 a tartalom a weben. A CASE modell figyelembe veszi, hogy a megt\u00e9veszt\u00e9s a phishing r\u00e9sze, biztos\u00edtja, hogy a jellemz\u0151k megk\u00fcl\u00f6nb\u00f6ztethet\u0151k \u00e9s \u00e1ltal\u00e1nos\u00edthat\u00f3k legyenek, \u00e9s t\u00e1mogat\u00e1st ny\u00fajt a jellemz\u0151k szintj\u00e9n a hat\u00e9kony phishing \u00e9szlel\u00e9shez.<\/p>\n\n\n\n

\u2022 Mivel a legitim \u00e9s a phishing weboldalak nem rendelkeznek azonos mennyis\u00e9g\u0171 forgalommal, a jelenlegi \u00e9szlel\u00e9si modellek t\u00f6bbl\u00e9pcs\u0151s biztons\u00e1gi rendszeren alapulnak. A t\u00f6bbl\u00e9pcs\u0151s \u00e9szlel\u00e9si modellek m\u00f6g\u00f6tt az az elk\u00e9pzel\u00e9s \u00e1ll, hogy biztos\u00edts\u00e1k a \u201cgyors sz\u0171r\u00e9st \u00e9s pontos felismer\u00e9st\u201d. A gyors sz\u0171r\u00e9si szakaszban a legitim weboldalakat kisz\u0171rik. Ezut\u00e1n pontos fel\u00fcgyelt felismer\u00e9st v\u00e9geznek, konkr\u00e9t pozit\u00edv \u00e9s negat\u00edv mint\u00e1k tanul\u00e1s\u00e1val egy kisebb tartom\u00e1nyban. Ez az \u00e9szlel\u00e9si filoz\u00f3fia biztos\u00edtja a magas teljes\u00edtm\u00e9nyt r\u00f6videbb \u00e9szlel\u00e9si id\u0151vel, ami re\u00e1lisabb a val\u00f3s web sz\u00e1m\u00e1ra.<\/p>\n\n\n\n

\u2022 Az \u00faj Antiphishing modellek azon alapulnak, hogy olyan adatcsomagokat \u00e9p\u00edtenek, amelyek a lehet\u0151 legk\u00f6zelebb \u00e1llnak a val\u00f3s webk\u00f6rnyezethez, k\u00fcl\u00f6nb\u00f6z\u0151 nyelvekkel, tartalmi min\u0151s\u00e9gekkel \u00e9s m\u00e1rk\u00e1kkal. Emellett, mivel a phishing \u00e9szlel\u00e9s egy oszt\u00e1lyegyens\u00faly-probl\u00e9ma, most sok pozit\u00edv \u00e9s negat\u00edv mint\u00e1t \u00f6sszekevernek, ami nagyon neh\u00e9zz\u00e9 teszi a felismer\u00e9s\u00fcket. Mindezek a dolgok megnehez\u00edtik az Antiphishing \u00e9szlel\u00e9si modellek kidolgoz\u00e1s\u00e1t, amelyek j\u00f3l m\u0171k\u00f6dnek \u00e9s haszn\u00e1lhat\u00f3k a val\u00f3s webk\u00f6rnyezetben.<\/p>\n\n\n\n

M\u00e9g sok Antiphishing modell is \u00fagy m\u0171k\u00f6dik, hogy \u00f6sszehasonl\u00edtja az URL-eket, c\u00edmeket, linkeket, bejelentkez\u00e9si mez\u0151ket, szerz\u0151i jogi inform\u00e1ci\u00f3kat, bizalmas kifejez\u00e9seket, keres\u0151motor-inform\u00e1ci\u00f3kat, s\u0151t a weboldalak m\u00e1rk\u00e1inak log\u00f3it is, \u00e9s kimutatt\u00e1k, hogy felhaszn\u00e1lhat\u00f3k a phishing weboldalak felismer\u00e9s\u00e9re. Az elm\u00falt \u00e9vekben nagyobb figyelmet ford\u00edtottak a vizu\u00e1lis megt\u00e9veszt\u00e9si jellemz\u0151kre \u00e9s az \u00e9rt\u00e9kel\u00e9si jellemz\u0151kre. De nem voltak el\u00e9g er\u0151sek ahhoz, hogy meg\u00e1llap\u00edts\u00e1k, egy oldal phishing oldal-e.<\/p>\n\n\n\n

\u201cA phishing weboldalak t\u00f6bb mint 98%-a hamis domainneveket haszn\u00e1l<\/a>,\u201d <\/em>mondja az APWG. Az antiphishing modellek eset\u00e9ben a kutat\u00f3k az URL-karakterl\u00e1nc inform\u00e1ci\u00f3it haszn\u00e1lj\u00e1k. Azonban a domainn\u00e9v m\u00f6g\u00f6tti inform\u00e1ci\u00f3k megszerz\u00e9se, mint p\u00e9ld\u00e1ul a domain regisztr\u00e1ci\u00f3 \u00e9s felold\u00e1s, szint\u00e9n nagyon fontos a phishing \u00e9szlel\u00e9shez. Ez az inform\u00e1ci\u00f3 gyakran megmutathatja, hogy egy domainn\u00e9v jogosult-e m\u00e1rk\u00e1val kapcsolatos szolg\u00e1ltat\u00e1sok ny\u00fajt\u00e1s\u00e1ra. Teh\u00e1t az antiphishing kutat\u00f3k f\u0151 feladata hat\u00e9kony jellemz\u0151k megtal\u00e1l\u00e1sa. Ezt \u00fagy teszik, hogy megvizsg\u00e1lj\u00e1k a szoci\u00e1lis m\u00e9rn\u00f6ki t\u00e1mad\u00e1sokat, \u00e9s javasolnak egy teljes \u00e9s k\u00f6nnyen \u00e9rthet\u0151 jellemz\u0151keretet, amely nemcsak a phishing t\u00e1mad\u00e1sok minden aspektus\u00e1t, hanem a webes tartalom min\u0151s\u00e9g\u00e9t \u00e9s relevanci\u00e1j\u00e1t is lefedi.<\/p>\n\n\n\n

T\u00f6bbl\u00e9pcs\u0151s phishing \u00e9szlel\u00e9s<\/strong><\/p>\n\n\n\n

1. szakasz<\/strong>: Feh\u00e9rlista sz\u0171r\u00e9s Ebben a szakaszban a val\u00f3s weboldalakat elv\u00e1lasztj\u00e1k a gyan\u00fasakt\u00f3l a c\u00e9lm\u00e1rka weboldal\u00e1nak phishing domainneve alapj\u00e1n.<\/p>\n\n\n\n

2. szakasz<\/strong>: Ez a hamis sz\u00e1ml\u00e1k gyors elt\u00e1vol\u00edt\u00e1s\u00e1nak szakasza. Ez mag\u00e1ban foglalja a hamis c\u00edmfunkci\u00f3, a hamis sz\u00f6vegfunkci\u00f3 \u00e9s a hamis vizu\u00e1lis funkci\u00f3 elt\u00e1vol\u00edt\u00e1s\u00e1t egy \u00e9szlel\u00e9si modell seg\u00edts\u00e9g\u00e9vel. Az utols\u00f3 l\u00e9p\u00e9s a hamis\u00edt\u00e1s, lop\u00e1s, kapcsol\u00f3d\u00e1s, \u00e9rt\u00e9kel\u00e9s, k\u00e9pz\u00e9s \u00e9s modellek \u00e9szlel\u00e9s\u00e9nek pontos felismer\u00e9si funkci\u00f3inak kinyer\u00e9se \u00e9s kombin\u00e1l\u00e1sa a CASE funkci\u00f3 haszn\u00e1lat\u00e1val, amely egy m\u00f3dos\u00edtott modelleken alapul\u00f3 k\u00e9pz\u00e9salap\u00fa phishing \u00e9szlel\u00e9s.<\/p>\n\n\n

K\u00f6vetkeztet\u00e9s<\/h2>\n\n\n

Ezzel a t\u00f6bbl\u00e9pcs\u0151s \u00e9szlel\u00e9sen alapul\u00f3 phishing meg\u00e1ll\u00edt\u00e1si megk\u00f6zel\u00edt\u00e9ssel 2022-ben 883 phishing t\u00e1mad\u00e1s lesz a China Mobile ellen, 86 a Bank of China ellen, 19 a Facebook ellen \u00e9s 13 az Apple ellen. Ez azt mutatja, hogy a CASE modell lefedi a jellemz\u0151teret, amely t\u00fckr\u00f6zi a phishing megt\u00e9veszt\u0151 term\u00e9szet\u00e9t, biztos\u00edtva, hogy a jellemz\u0151k megk\u00fcl\u00f6nb\u00f6ztethet\u0151k \u00e9s \u00e1ltal\u00e1nos\u00edthat\u00f3k legyenek, \u00e9s hat\u00e9kony phishing \u00e9szlel\u00e9si t\u00e1mogat\u00e1st ny\u00fajt a jellemz\u0151k szintj\u00e9n.<\/p>","protected":false},"excerpt":{"rendered":"

Az adathal\u00e1szat a leggyakoribb m\u00f3dszer, amellyel a kiberb\u0171n\u00f6z\u0151k ma inform\u00e1ci\u00f3kat lopnak, \u00e9s ez a kiberfenyeget\u00e9s egyre s\u00falyosbodik, ahogy egyre t\u00f6bb jelent\u00e9s \u00e9rkezik az adatv\u00e9delmi sziv\u00e1rg\u00e1sokr\u00f3l \u00e9s p\u00e9nz\u00fcgyi\u2026 Folytat\u00e1s Hat\u00e9kony t\u00f6bbf\u00e1zis\u00fa adathal\u00e1sz weboldal-\u00e9szlel\u00e9si modell<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":1527,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[],"class_list":["post-1837","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-phishing","entry"],"yoast_head":"\nProtect Your Data with an Efficient Phishing Detection Model<\/title>\n<meta name=\"description\" content=\"Learn how a phishing detection model can help you prevent phishing attacks. 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