Knowledge (XXG)

Malvertising

Source πŸ“

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include being embedded in main scripts of the page or drive-by-downloads. Malware can also auto-run, as in the case of auto redirects, where the user is automatically taken to a different site (without user interaction, such as clicking on them), which could be malicious. Malware can also be found in the delivery of an ad – where a clean ad that has no malware pre- or post-click (in its build and design) can still be infected whilst being called. Malicious code can hide undetected and the user has no idea what's coming their way. A post-click malvertisement example: "the user clicks on the ad to visit the advertised site, and instead is directly infected or redirected to a malicious site. These sites trick users into copying viruses or spyware usually disguised as Flash files, which are very popular on the web."
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system and it does not exploit any vulnerabilities on the website or the server it is hosted from... infections delivered through malvertising silently travel through Web page advertisements." It is able to expose millions of users to malware, even the most cautious, and is growing rapidly: "In 2012, it was estimated nearly 10 billion ad impressions were compromised by malvertising." Attackers have a very wide reach and are able to deliver these attacks easily through advertisement networks. Companies and websites have had difficulty diminishing the number of malvertising attacks, which "suggests that this attack vector isn’t likely to disappear soon."
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attempting to spread malware place "clean" advertisements on trustworthy sites first in order to gain a good reputation, then they later "insert a virus or spyware in the code behind the ad, and after a mass virus infection is produced, they remove the virus", thus infecting all visitors of the site during that time period. The identities of those responsible are often hard to trace, making it hard to prevent the attacks or stop them altogether, because the "ad network infrastructure is very complex with many linked connections between ads and click-through destinations."
27: 207:, talktalk.co.uk, and wowhead.com, among others. The campaigns involved breaches of ad networks, including DoubleClick and engage:BDR. There was also a report of possibly the first "political malvertising" campaign by pro-Russian activists, which was based on a botnet, which then forced users' machines to visit bogus sites that generated ad revenue for the activists. The users also ended up at several pro-Russian propaganda videos. 172:(XSS), number three in the top ten web attacks types identified by the Open Web Application Security Project (OWASP). The attack infected users' machines with the ransomware Cryptowall, a type of malware that extorts money from users by encrypting their data and placing a ransom of up to $ 1000 in bitcoins, to be paid in seven days, to decrypt the data. In 2014, there were major malvertising campaigns on the 155:– this was one of the first instances of a drive-by download, where a user does not even have to click on an ad to become infected with malware. Symantec added malvertising as a section in their Internet Security Threat Report 2013 in 2012. Symantec used scanning software across a series of websites and detected that half of them were infected with malvertising. In 2012, the 58: 355:
can and have had their flaws exploited, and become vulnerable to attacks, so it is important to avoid them, or at least keep them up to date. Users can also download anti-virus software that protects against threats and removes malicious software from their systems. Users can also push companies and
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Malvertising affects every part of the digital advertising chain differently. From platforms to publishers, and all the way down to the end-user who may have been the victim of a malvertising attack, everyone is affected. Malvertising often involves the exploitation of trustworthy companies. Those
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Malvertising can be extremely hard to combat because it can quietly work its way into a webpage or advertisement on a webpage and spread unknowingly: "The interesting thing about infections delivered through malvertising is that it does not require any user action (like clicking) to compromise the
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When websites or web publishers unknowingly incorporate corrupted or malicious advertisements into their page, computers can become infected pre-click and post-click. It is a misconception that infection only happens when visitors begin clicking on a malvertisement. "Examples of pre-click malware
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In 2010, malvertising took off. Marketing analysts ClickZ noted that the Online Trust Alliance (OTA) identified billions of display ads, across 3500 sites carrying malware. In the same year the Online Trust Alliance formed a cross industry Anti-Malvertising Task Force. In 2011, Spotify had a
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and webpages. Because advertising content can be inserted into high-profile and reputable websites, malvertising provides malefactors an opportunity to push their attacks to web users who might not otherwise see the ads, due to firewalls, more safety precautions, or the like. Malvertising is
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was hit by a massive malvertising attack which used the Blackhole exploit kit to infect users. It was seen as part of a general campaign of malvertising to hit large news portals – this strategy carried on into subsequent years with attacks on huffingtonpost.com and
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is often built into online advertising, and this spread of malware is often successful because users expect a redirection to happen when clicking on an advertisement. A redirection that is taking place only needs to be co-opted in order to infect a user's computer.
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on their computers. According to spokeswoman Diane McNulty, "The culprit approached the newspaper as a national advertiser and had provided apparently legitimate ads for a week", and the ads were switched to the virus alert malvertisement afterwards.
192:, were affected. As in previous attacks the cybercrime involved Cryptowall as the malware infection. This spate of malvertising was believed to have brought over $ 1 million of ransom money in by infecting over 600,000 computers. 118:
The first recorded sightings of malvertising were in late 2007 and early 2008. The threat was based on a vulnerability in Adobe Flash (something that has continued into the late 2010s) and affected a number of platforms including
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scam that created a botnet network of malware-infected computers, nicknamed the Bahama botnet, that then went on to be used to carry out click fraud on pay per click ads all over the web. The banner feed of
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By visiting websites that are affected by malvertising, users are at risk of infection. There are many different methods used for injecting malicious advertisements or programs into webpages:
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Several popular websites and news sources have been victims to malvertising and have had malicious advertisements placed on their webpages or widgets unknowingly, including Horoscope.com,
199:'s February 2015 Threat Report, malvertising was beginning to grow quickly on mobile platforms in late 2014 and early 2015. Additionally, in 2015, there were malvertising campaigns on 138:
was hacked for the weekend of September 11 to 14, causing some readers to see advertisements telling them their systems were infected and trying to trick them into installing
498: 1332: 842: 706: 85:"attractive to attackers because they 'can be easily spread across a large number of legitimate websites without directly compromising those websites'." 863: 347:
There are several precautions that people can take to reduce their chances of getting tricked by these advertisements. Commonly used programs such as
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then suspended third-party advertisements to address the problem, and even posted advice for readers regarding this issue on its technology blog.
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software to avoid downloading the malware contained in advertisements or a specific browser extension alerting malvertising campaigns.
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gang REvil was spotted using paid positioning in Google search results to deliver malicious files to victims. Malvertising cash or
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Some malvertisements can infect a vulnerable computer even if the user never clicks on the (normal-appearing) advertisement.
1249:. Advances in Intelligent Systems and Computing. Vol. 530. Cham: Springer International Publishing. pp. 449–460. 1139:. Advances in Intelligent Systems and Computing. Vol. 530. Cham: Springer International Publishing. pp. 449–460. 1102:. Advances in Intelligent Systems and Computing. Vol. 530. Cham: Springer International Publishing. pp. 449–460. 900: 502: 374: 1380: 1340: 125: 226:, and others have been seen across many advertising platforms and social media sites. In 2022, reports surfaced of 990: 1385: 333: 164:. The growing intensity of malvertising continued in 2013, when a major malvertising campaign was waged against 1400: 714: 316: 870: 680: 737: 285: 139: 1279: 239: 1306: 256: 152: 652: 389: 231: 169: 1365: 766: 379: 182: 81: 1245:. In Corchado Rodriguez, Juan Manuel; Mitra, Sushmita; Thampi, Sabu M.; El-Alfy, El-Sayed (eds.). 1216: 1135:. In Corchado Rodriguez, Juan Manuel; Mitra, Sushmita; Thampi, Sabu M.; El-Alfy, El-Sayed (eds.). 1098:. In Corchado Rodriguez, Juan Manuel; Mitra, Sushmita; Thampi, Sabu M.; El-Alfy, El-Sayed (eds.). 1069: 471: 1390: 1242: 1132: 1095: 965: 820: 348: 291: 251: 227: 73: 356:
websites to scan advertisements before making them active on their webpages. Users can also use
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is the activity of downloading a malicious file without a users consent as they visit a website
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Please help update this article to reflect recent events or newly available information.
215: 1176: 1374: 448: 843:"CryptoWall ransomware held over 600K computers hostage, encrypted 5 billion files" 582: 476: 352: 218:
giveaway campaigns with actors masquerading as popular figures including YouTuber
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on google search masquerading to be various software download pages (oftentimes
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An example of a malicious advertisement, claiming that the computer is infected
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can have text adjusted to include malicious hyperlinks associated with content
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in which redirection can be co-opted into redirecting to a malicious site
1243:"A Literature Survey on Malware and Online Advertisement Hidden Hazards" 1133:"A Literature Survey on Malware and Online Advertisement Hidden Hazards" 1096:"A Literature Survey on Malware and Online Advertisement Hidden Hazards" 579:"What is Malvertising (Malware) Detection in Online Advertising, Part I" 991:"Malvertising on Google Ads is a growing problem that isn't going away" 310: 260: 219: 120: 77: 1018:"Hackers push malware via Google search ads for VLC, 7-Zip, CCleaner" 196: 1217:"Report: The 3 Biggest Enterprise Website Malware Vulnerabilities" 56: 200: 177: 552:"Five-month malvertising campaign serves up silent infections" 20: 940:"Mr Beast $ 1000 giveaway: website scam & pop-up removal" 72:
of "malicious software (malware) advertising") is the use of
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Use of online advertisement or advertising to spread malware
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Third-party applications, such as forums, help desks, and
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was found to be serving an ad that was part of a larger
915:"Ransomware gangs use SEO poisoning to infect visitors" 531:"Malvertising: Some Examples of Malicious Ad Campaigns" 1247:
Intelligent Systems Technologies and Applications 2016
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Intelligent Systems Technologies and Applications 2016
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Intelligent Systems Technologies and Applications 2016
123:, Excite and Rhapsody. In 2009, the online edition of 1070:"Internet companies face up to 'malvertising' threat" 472:"Internet companies face up to 'malvertising' threat" 1333:"Malvertising up 325% – Are the AdBlockers Working?" 895:
Connell, Michael; Vogler, Sarah (February 1, 2017).
499:"The rise of malvertising and its threat to brands" 653:"Business Identity Theft; Big Brand, Big Problems" 681:"So long, Flash: Adobe will kill plug-in by 2020" 407: 405: 1043:"Google ads lead to major malvertising campaign" 789:"Symantec Internet Security Threat Report 2013" 288:that install malicious software on the computer 1241:Jyotiyana, Priya; Maheshwari, Saurabh (2016). 1131:Jyotiyana, Priya; Maheshwari, Saurabh (2016). 1094:Jyotiyana, Priya; Maheshwari, Saurabh (2016). 738:"Billions of Web Ads Carried Malware in 2010" 634:"Malvertising Resource Center | cleanAD" 180:ad networks. Various news portals, including 8: 1210: 1208: 1175:Sood, Aditya; Enbody, Richard (April 2011). 1280:"Five Ways to Keep Online Criminals at Bay" 1177:"Malvertising - exploiting web advertising" 602: 600: 864:"McAfee Labs Threats Report February 2015" 897:Russia's Approach to Cyber Warfare (1Rev) 558:. Reed Exhibitions Ltd. February 12, 2013 524: 522: 520: 338:Mobile advertising through SMS promotions 245:More examples of malicious advertisements 1366:What You Need To Know About Malvertising 608:"A rising security threat: Malvertising" 447:. Online Trust Alliance. Archived from 401: 1170: 1168: 1166: 1164: 1068:Johnson, Bobbie (September 25, 2009). 841:Constantin, Lucian (August 29, 2014). 707:"Malvertising hits The New York Times" 470:Johnson, Bobbie (September 25, 2009). 325:Third-party advertisements on webpages 439: 437: 435: 433: 431: 412:Salusky, William (December 6, 2007). 234:), leading users to instead download 7: 903:from the original on April 20, 2021. 705:Picchi, Aimee (September 14, 2009). 238:, info stealer, or redirect them to 966:"How to Avoid Cryptocurrency Scams" 765:. September 8, 2010. Archived from 651:Siciliano, Robert (April 8, 2014). 577:Vuijsje, Eliana (August 31, 2015). 151:malvertising attack which used the 1331:George, Thomas (October 9, 2015). 1305:Nichols, Shaun (August 14, 2015). 997:. Claudia Glover. January 18, 2023 14: 292:In-text or in-content advertising 284:for deceptive downloads, such as 821:"Category:OWASP Top Ten Project" 736:Kaye, Kate (February 10, 2011). 501:. Deloitte. 2009. Archived from 330:customer relationship management 25: 1278:Richmond, Riva (May 20, 2010). 1215:Finley, Klint (July 26, 2010). 679:Yurieff, Kaya (July 25, 2017). 529:Zeltser, Lenny (June 6, 2011). 1: 375:Social engineering (security) 322:Malicious banners on websites 1255:10.1007/978-3-319-47952-1_35 1145:10.1007/978-3-319-47952-1_35 1108:10.1007/978-3-319-47952-1_35 794:. April 2013. Archived from 1184:Computer Fraud and Security 632:clean.io, Sent with πŸ’™ by. 126:The New York Times Magazine 82:online advertising networks 1417: 334:content management systems 319:exploited to share malware 317:Content delivery networks 34:This article needs to be 286:fake anti-virus programs 140:rogue security software 62: 257:London Stock Exchange 153:Blackhole exploit kit 60: 1286:. The New York Times 1221:ReadWrite Enterprise 451:on December 15, 2013 390:Watering hole attack 170:Cross-site scripting 1343:on January 30, 2016 445:"Anti-Malvertising" 380:Supply chain attack 343:Preventive measures 313:that spread malware 183:The Times of Israel 1381:Online advertising 349:Adobe Flash Player 298:Drive-by downloads 252:The New York Times 240:tech support scams 228:Native advertising 162:The New York Times 145:The New York Times 136:The New York Times 74:online advertising 63: 1264:978-3-319-47952-1 1154:978-3-319-47952-1 1117:978-3-319-47952-1 769:on March 27, 2016 717:on April 21, 2016 711:The Daily Finance 585:on April 16, 2021 385:Tech support scam 157:Los Angeles Times 55: 54: 1408: 1386:Types of malware 1353: 1352: 1350: 1348: 1339:. Archived from 1337:Check&Secure 1328: 1322: 1321: 1319: 1317: 1302: 1296: 1295: 1293: 1291: 1275: 1269: 1268: 1238: 1232: 1231: 1229: 1227: 1212: 1203: 1202: 1200: 1198: 1181: 1172: 1159: 1158: 1128: 1122: 1121: 1091: 1085: 1084: 1082: 1080: 1065: 1059: 1058: 1056: 1054: 1039: 1033: 1032: 1030: 1028: 1022:bleepingcomputer 1013: 1007: 1006: 1004: 1002: 987: 981: 980: 978: 976: 962: 956: 955: 953: 951: 936: 930: 929: 927: 925: 919:BleepingComputer 911: 905: 904: 892: 886: 885: 883: 881: 876:on March 4, 2016 875: 869:. Archived from 868: 860: 854: 853: 851: 849: 838: 832: 831: 829: 827: 817: 811: 810: 808: 806: 800: 793: 785: 779: 778: 776: 774: 755: 749: 748: 746: 744: 733: 727: 726: 724: 722: 713:. Archived from 702: 696: 695: 693: 691: 676: 670: 669: 667: 665: 648: 642: 641: 629: 623: 622: 620: 618: 604: 595: 594: 592: 590: 581:. Archived from 574: 568: 567: 565: 563: 548: 542: 541: 539: 537: 526: 515: 514: 512: 510: 505:on July 22, 2011 495: 489: 488: 486: 484: 467: 461: 460: 458: 456: 441: 426: 425: 423: 421: 409: 50: 47: 41: 29: 28: 21: 1416: 1415: 1411: 1410: 1409: 1407: 1406: 1405: 1401:Internet ethics 1371: 1370: 1362: 1357: 1356: 1346: 1344: 1330: 1329: 1325: 1315: 1313: 1304: 1303: 1299: 1289: 1287: 1277: 1276: 1272: 1265: 1240: 1239: 1235: 1225: 1223: 1214: 1213: 1206: 1196: 1194: 1179: 1174: 1173: 1162: 1155: 1130: 1129: 1125: 1118: 1093: 1092: 1088: 1078: 1076: 1067: 1066: 1062: 1052: 1050: 1049:. 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July 6, 2021 931: 906: 887: 855: 833: 812: 780: 750: 728: 697: 671: 643: 624: 596: 569: 543: 516: 490: 462: 427: 414:"Malvertising" 400: 399: 397: 394: 393: 392: 387: 382: 377: 372: 365: 362: 344: 341: 340: 339: 336: 326: 323: 320: 314: 307: 301: 295: 289: 274: 271: 246: 243: 216:cryptocurrency 115: 112: 94: 91: 53: 52: 33: 31: 24: 15: 13: 10: 9: 6: 4: 3: 2: 1413: 1402: 1399: 1397: 1394: 1392: 1389: 1387: 1384: 1382: 1379: 1378: 1376: 1367: 1364: 1363: 1359: 1347:September 11, 1342: 1338: 1334: 1327: 1324: 1316:September 11, 1312: 1308: 1301: 1298: 1290:September 11, 1285: 1284:Personal Tech 1281: 1274: 1271: 1266: 1260: 1256: 1252: 1248: 1244: 1237: 1234: 1226:September 11, 1222: 1218: 1211: 1209: 1205: 1197:September 11, 1193: 1189: 1185: 1178: 1171: 1169: 1167: 1165: 1161: 1156: 1150: 1146: 1142: 1138: 1134: 1127: 1124: 1119: 1113: 1109: 1105: 1101: 1097: 1090: 1087: 1079:September 11, 1075: 1071: 1064: 1061: 1048: 1044: 1038: 1035: 1023: 1019: 1012: 1009: 996: 992: 986: 983: 971: 967: 961: 958: 945: 941: 935: 932: 920: 916: 910: 907: 902: 898: 891: 888: 880:September 11, 872: 865: 859: 856: 848:September 11, 844: 837: 834: 826:September 11, 822: 816: 813: 805:September 11, 797: 790: 784: 781: 773:September 11, 768: 764: 760: 754: 751: 743:September 11, 739: 732: 729: 721:September 11, 716: 712: 708: 701: 698: 690:September 25, 686: 682: 675: 672: 664:September 11, 660: 659: 654: 647: 644: 639: 635: 628: 625: 617:September 11, 613: 609: 603: 601: 597: 589:September 11, 584: 580: 573: 570: 562:September 11, 557: 553: 547: 544: 536:September 11, 532: 525: 523: 521: 517: 509:September 11, 504: 500: 494: 491: 483:September 11, 479: 478: 473: 466: 463: 455:September 11, 450: 446: 440: 438: 436: 434: 432: 428: 420:September 11, 415: 408: 406: 402: 395: 391: 388: 386: 383: 381: 378: 376: 373: 371: 368: 367: 363: 361: 359: 354: 350: 342: 337: 335: 331: 327: 324: 321: 318: 315: 312: 308: 305: 302: 299: 296: 293: 290: 287: 283: 280: 279: 278: 272: 270: 268: 267: 262: 258: 254: 253: 244: 242: 241: 237: 233: 229: 225: 221: 217: 213: 208: 206: 202: 198: 195:According to 193: 191: 190: 185: 184: 179: 175: 171: 167: 163: 158: 154: 148: 146: 141: 137: 132: 128: 127: 122: 113: 111: 108: 104: 101: 92: 90: 86: 83: 79: 75: 71: 67: 59: 49: 46:November 2022 37: 32: 23: 22: 19: 1345:. 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SANS ISC 396:References 282:Pop-up ads 236:ransomware 212:ransomware 76:to spread 1391:Deception 1192:1361-3723 1186:: 11–16. 612:Bullguard 370:Clickjack 266:The Onion 224:Elon Musk 210:In 2021, 166:Yahoo.com 944:MySpyBot 901:Archived 685:CNNMoney 364:See also 186:and the 93:Overview 763:Reuters 311:iframes 309:Hidden 261:Spotify 220:MrBeast 121:MySpace 114:History 78:malware 36:updated 1396:Adware 1261:  1190:  1151:  1114:  263:, and 255:, the 197:McAfee 1180:(PDF) 970:PCMAG 874:(PDF) 867:(PDF) 799:(PDF) 792:(PDF) 1349:2019 1318:2019 1292:2019 1259:ISBN 1228:2019 1199:2019 1188:ISSN 1149:ISBN 1112:ISBN 1081:2019 1055:2023 1029:2023 1003:2023 977:2021 952:2021 926:2021 882:2019 850:2019 828:2019 807:2019 775:2019 745:2019 723:2019 692:2020 666:2019 619:2019 591:2019 564:2019 538:2019 511:2019 485:2019 457:2019 422:2019 351:and 332:and 201:eBay 178:Zedo 176:and 1251:doi 1141:doi 1104:doi 68:(a 1377:: 1335:. 1309:. 1282:. 1257:. 1219:. 1207:^ 1182:. 1163:^ 1147:. 1110:. 1072:. 1045:. 1020:. 993:. 968:. 942:. 917:. 761:. 709:. 683:. 655:. 636:. 610:. 599:^ 554:. 519:^ 474:. 430:^ 404:^ 269:. 259:, 222:, 203:, 1351:. 1320:. 1294:. 1267:. 1253:: 1230:. 1201:. 1157:. 1143:: 1120:. 1106:: 1083:. 1057:. 1031:. 1005:. 979:. 954:. 928:. 884:. 852:. 830:. 809:. 777:. 747:. 725:. 694:. 668:. 640:. 621:. 593:. 566:. 540:. 513:. 487:. 459:. 424:. 48:) 44:( 38:.

Index


portmanteau
online advertising
malware
online advertising networks
Redirection
MySpace
The New York Times Magazine
click fraud
rogue security software
Blackhole exploit kit
Yahoo.com
Cross-site scripting
DoubleClick
Zedo
The Times of Israel
Hindustan Times
McAfee
eBay
Answers.com
ransomware
cryptocurrency
MrBeast
Elon Musk
Native advertising
open source
ransomware
tech support scams
The New York Times
London Stock Exchange

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