Knowledge (XXG)

Email-address harvesting

Source đź“ť

848:: "Generating web pages with long lists of fake addresses to spoil the spam bot's address data base is not encouraged, because it is unknown if the spammers really care and on the other hand, the use of those addresses by spammers will cause additional traffic load on network links and involved innocent third party servers." 244:
Using an automated means to extract electronic mail addresses from an Internet website or proprietary online service operated by another person, and such website or online service included, at the time the address was obtained, a notice stating that the operator of such website or online service will
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To enable prosecution of spammers under the CAN-SPAM Act of 2003, a website operator must post a notice that "the site or service will not give, sell, or otherwise transfer addresses maintained by such website or online service to any other party for the purposes of initiating, or enabling others to
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Furthermore, website operators may not distribute their legitimately collected lists. The CAN-SPAM Act of 2003 requires that operators of web sites and online services should include a notice that the site or service will not give, sell, or otherwise transfer addresses, maintained by such website or
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Another method of email address harvesting is to offer a product or service free of charge as long as the user provides a valid email address, and then use the addresses collected from users as spam targets. Common products and services offered are jokes of the day, daily bible quotes, news or stock
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which send an email but do not reveal the recipient's address avoid publishing an email address in the first place. However, this method prevents users from composing in their preferred email client, limits message content to plain text - and does not automatically leave the user with a record of
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may capture email addresses from traffic addressed to its network neighbors. The harvested addresses are then returned to the spammer through the bot-net created by the virus. In addition, sometime the addresses may be appended with other information and cross referenced to extract financial and
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In Australia, the creation or use of email-address harvesting programs (address harvesting software) is illegal, according to the 2003 anti-spam legislation, only if it is intended to use the email-address harvesting programs to send unsolicited commercial email. The legislation is intended to
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When persons fill out a form, it is often sold to a spammer using a web service or http post to transfer the data. This is immediate and will drop the email in various spammer databases. The revenue made from the spammer is shared with the source. For instance, if someone applies online for a
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subscriptions and customer lists. By searching the Web and other resources for email addresses corresponding to the names and street addresses in their records, direct marketers can send targeted spam email. However, as with most spammer "targeting", this is imprecise; users have reported, for
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systems require the publication of technical contact information for all Internet domains; spammers have illegally trawled these resources for email addresses. Spammers have also concluded that generally, for the domain names of businesses, all of the email addresses will follow the same basic
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In HTML, email addresses may be obfuscated in many ways, such as inserting hidden elements within the address or listing parts out of order and using CSS to restore the correct order. Each has the benefit of being transparent to most users, but none support clickable email links and none are
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Spammer viruses may include a function which scans the victimized computer's disk drives (and possibly its network interfaces) for email addresses. These scanners discover email addresses which have never been exposed on the Web or in Whois. A compromised computer located on a shared
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may cause the recipient's mail client to transmit the recipient's address, or any other unique key, to the spammer's Web site. Users can defend against such abuses by turning off their mail program's option to display images, or by reading email as plain-text rather than formatted.
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Email servers use a variety of methods to combat directory harvesting attacks, including to refuse to communicate with remote senders that have specified more than one invalid recipient address within a short time, but most such measures carry the risk of legitimate email being
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Using images to display part or all of an email address is a very effective harvesting countermeasure. The processing required to automatically extract text from images is not economically viable for spammers. It is very inconvenient for users, who type the address in
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mortgage, the owner of this site may have made a deal with a spammer to sell the address. These are considered the best emails by spammers, because they are fresh and the user has just signed up for a product or service that often is marketed by spam.
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produces a normal, clickable email link for users while obscuring the address from spiders. In the source code seen by harvesters, the email address is scrambled, encoded, or otherwise obfuscated. While very convenient for most users, it does reduce
742:: "A spider trap refers to either a continuous loop where spiders are requesting pages and the server is requesting data to render the page or an intentional scheme designed to identify (and "ban") spiders that do not respect robots.txt." 382:, are designed to waste the time and resources of malicious spiders by slowly and endlessly feeding the spider useless information. The "bait" content may contain large numbers of fake addresses, a technique known as 209:
Likewise, spammers sometimes operate Web pages which purport to remove submitted addresses from spam lists. In several cases, these have been found to subscribe the entered addresses to receive more spam.
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file will warn spiders to stay away from that area—a warning that malicious spiders do not heed. Some traps block access from the client's IP as soon as the trap is accessed. Others, like a network
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alerts, free merchandise, or even registered sex offender alerts for one's area. Another technique was used in late 2007 by the company iDate, which used email harvesting directed at subscribers to the
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not give, sell, or otherwise transfer addresses maintained by such website or online service to any other party for the purposes of initiating, or enabling others to initiate, electronic mail messages.
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to find email addresses on web pages. Usenet article message-IDs often look enough like email addresses that they are harvested as well. Spammers have also harvested email addresses directly from
108:, etc. and any others that are accepted for delivery by the recipient email server, instead of being rejected, are added to the list of theoretically valid email addresses for that domain. 595: 132:, frequently yield addresses. Simply searching the Web for pages with addresses — such as corporate staff directories or membership lists of professional societies — using 98:, where valid email addresses at a specific domain are found by guessing email address using common usernames in email addresses at that domain. For example, trying alan@ 622: 436: 268:" to "bob at example dot com"—is a common technique to make harvesting email addresses more difficult. Though relatively easy to overcome—see, e.g., this 458: 149:
pattern and thus are able to accurately guess the email addresses of employees whose addresses they have not harvested. Many spammers use programs called
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Spammers may harvest email addresses from a number of sources. A popular method uses email addresses which their owners have published for other purposes.
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prohibit emails with 'an Australian connection' - spam originating in Australia being sent elsewhere, and spam being sent to an Australian address.
912:: "Webmasters can respond to misbehaving spiders by trapping them, poisoning their databases of harvested e-mail addresses, or simply block them." 1112: 877: 241:
Using an automated means that generates possible electronic mail addresses by combining names, letters, or numbers into numerous permutations.
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their house at a specific street address — with the address being clearly a business address including mail stop and office number.
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New Zealand has similar restrictions contained in its Unsolicited Electronic Messages Act 2007. In The United States of America, the
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online service, to any other party for the purposes of initiating, or enabling others to initiate, electronic mail messages.
773: 753: 432: 272:—it is still effective. It is somewhat inconvenient to users, who must examine the address and manually correct it. 1107: 989: 792: 860: 487: 237:
made it illegal to initiate commercial email to a recipient where the email address of the recipient was obtained by:
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addresses to direct-marketing databases. Direct marketers normally obtain lists of prospects from sources such as
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Spammers sometimes use various means to confirm addresses as deliverable. For instance, including a hidden
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before giving out an email address is an effective harvesting countermeasure. A popular solution is the
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can yield thousands of addresses, most of them deliverable. Spammers have also subscribed to discussion
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A Spider Trap which generates 5,000 fake email addresses and blocks the client from further access.
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designed to combat email harvesting spiders. Well-behaved spiders are unaffected, as the website's
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The simplest method involves spammers purchasing or trading lists of email addresses from other
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results, without actually spidering the websites found in the search.
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and other online sources to obtain email addresses from public data.
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Mailhide service. (Note, 12.9.18: Mailhide is no longer supported.)
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The process of collecting email addresses, typically for email spam
1235: 994: 145: 202: 922: 867:: generates fake emails and traps spiders in an endless loop. 808: 902: 140:
for the purpose of gathering the addresses of posters. The
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using various methods. Typically these are then used for
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that restrict the harvesting or use of email addresses.
433:"Do social network sites genuinely care about privacy?" 634:
Hohlfeld, Oliver; Graf, Thomas; Ciucu, Florin (2012).
519:. 2003-11-01. Address Harvesting Software and Lists. 323:
accessible to text-based browsers and screen readers.
1249: 1171: 1098: 1028: 965: 956: 459:"Embedded HTML 'bugs' pose potential security risk" 116:website to spam the victim's friends and contacts. 760:A Spider Trap which bans clients which access it. 617: 615: 623:Nine ways to obfuscate e-mail addresses compared 94:in order to harvest email addresses, known as a 486:. The Spamhaus Project Ltd. 29 September 2005. 294:what they've said in their "sent" mail folder. 934: 386:; though some consider this practice harmful. 8: 509:"EFA Analysis of Australian Spam Bills 2003" 128:posts, especially those in archives such as 60:Another common method is the use of special 962: 941: 927: 919: 637:Longtime Behavior of Harvesting Spam Bots 643:. ACM Internet Measurement Conference. 423: 169:A recent, controversial tactic, called 190:instance, receiving solicitations to 33:is the process of obtaining lists of 7: 348:initiate, electronic mail messages." 457:Heather Harreld (5 December 2000). 1128:Distributed Checksum Clearinghouse 819:from the original on 18 March 2023 535:"Australia slams the door on spam" 369:is a part of a website which is a 25: 1113:Challenge–response spam filtering 950:Unsolicited digital communication 694:"Mailhide: Free Spam Protection" 621:Silvan MĂĽhlemann, 20 July 2008, 523:from the original on 2021-05-04. 222:In many jurisdictions there are 90:Spammers may also use a form of 650:from the original on 2014-07-25 601:from the original on 2006-01-04 570:from the original on 2021-02-17 490:from the original on 2009-03-09 439:from the original on 2016-12-22 517:Electronic Frontiers Australia 331:Requiring users to complete a 68:" or "harvesters", which uses 1: 431:Arthur, Charls (2007-09-13). 201:in a spam message written in 537:. 2003-08-18. Archived from 31:Email harvesting or scraping 790:Trap bad bots in a bot trap 484:"Spam Unsubscribe Services" 461:. InfoWorld. Archived from 1320: 1148:Naive Bayes spam filtering 839:Fight SPAM, catch Bad Bots 675:Graceful Email Obfuscation 771:Spider Trap: How It Works 18:E-mail address harvesting 1123:Disposable email address 985:Directory harvest attack 809:"How to keep bad robots" 96:directory harvest attack 265:—e.g., changing " 224:anti-spam laws in place 353:Mail Server Monitoring 299:JavaScript obfuscation 723:, Section a.4.b.1.A.i 81:mailing list archives 64:known as "harvesting 1133:Email authentication 589:"Public Law 108–187" 397:Anti-spam techniques 235:CAN-SPAM Act of 2003 980:Bulk email software 673:, 6 November 2007, 564:legislation.govt.nz 908:2019-10-20 at the 863:2008-04-11 at the 844:2006-06-01 at the 795:2006-01-17 at the 776:2018-04-11 at the 756:2008-05-17 at the 738:2010-12-28 at the 719:2016-09-19 at the 680:2011-02-22 at the 120:Harvesting sources 1291: 1290: 1118:Context filtering 1094: 1093: 769:Thomas Zeithaml, 92:dictionary attack 16:(Redirected from 1311: 1259:Advance-fee scam 1206:Keyword stuffing 963: 943: 936: 929: 920: 913: 900: 894: 892: 890: 889: 880:. Archived from 874: 868: 858:Harvester Killer 855: 849: 835: 829: 828: 826: 824: 805: 799: 786: 780: 767: 761: 749: 743: 730: 724: 711: 705: 704: 702: 700: 690: 684: 665: 659: 658: 656: 655: 649: 642: 631: 625: 619: 610: 609: 607: 606: 600: 593: 585: 579: 578: 576: 575: 556: 550: 549: 547: 546: 531: 525: 524: 505: 499: 498: 496: 495: 480: 474: 473: 471: 470: 454: 448: 447: 445: 444: 428: 319:HTML obfuscation 21: 1319: 1318: 1314: 1313: 1312: 1310: 1309: 1308: 1294: 1293: 1292: 1287: 1271:Make Money Fast 1245: 1241:URL redirection 1167: 1090: 1024: 975:Address munging 952: 947: 917: 916: 910:Wayback Machine 901: 897: 887: 885: 876: 875: 871: 865:Wayback Machine 856: 852: 846:Wayback Machine 837:Ralf D. Kloth, 836: 832: 822: 820: 807: 806: 802: 797:Wayback Machine 788:Ralf D. Kloth, 787: 783: 778:Wayback Machine 768: 764: 758:Wayback Machine 750: 746: 740:Wayback Machine 731: 727: 721:Wayback Machine 712: 708: 698: 696: 692: 691: 687: 682:Wayback Machine 667:Roel Van Gils, 666: 662: 653: 651: 647: 640: 633: 632: 628: 620: 613: 604: 602: 598: 591: 587: 586: 582: 573: 571: 558: 557: 553: 544: 542: 533: 532: 528: 507: 506: 502: 493: 491: 482: 481: 477: 468: 466: 456: 455: 451: 442: 440: 435:. theguardian. 430: 429: 425: 420: 393: 344:CAN-SPAM Notice 263:Address munging 259:Address munging 256: 254:Countermeasures 220: 177:, involves the 166:personal data. 163:network segment 122: 85:internet forums 51: 35:email addresses 28: 23: 22: 15: 12: 11: 5: 1317: 1315: 1307: 1306: 1296: 1295: 1289: 1288: 1286: 1285: 1284: 1283: 1273: 1268: 1267: 1266: 1255: 1253: 1251:Internet fraud 1247: 1246: 1244: 1243: 1238: 1233: 1228: 1223: 1218: 1213: 1208: 1203: 1201:Google bombing 1198: 1193: 1188: 1183: 1177: 1175: 1169: 1168: 1166: 1165: 1160: 1155: 1150: 1145: 1143:List poisoning 1140: 1135: 1130: 1125: 1120: 1115: 1110: 1104: 1102: 1096: 1095: 1092: 1091: 1089: 1088: 1083: 1078: 1073: 1068: 1063: 1058: 1053: 1048: 1043: 1038: 1032: 1030: 1026: 1025: 1023: 1022: 1017: 1012: 1007: 1002: 1000:Email spoofing 997: 992: 987: 982: 977: 971: 969: 960: 954: 953: 948: 946: 945: 938: 931: 923: 915: 914: 895: 869: 850: 830: 800: 781: 762: 744: 725: 706: 685: 660: 626: 611: 580: 551: 526: 500: 475: 449: 422: 421: 419: 416: 415: 414: 409: 404: 399: 392: 389: 388: 387: 384:list poisoning 363: 359: 358: 354: 350: 349: 345: 341: 340: 329: 325: 324: 320: 316: 315: 300: 296: 295: 289:Email contact 287: 283: 282: 278: 274: 273: 260: 255: 252: 247: 246: 242: 219: 216: 121: 118: 75:, postings on 50: 47: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 1316: 1305: 1302: 1301: 1299: 1282: 1279: 1278: 1277: 1274: 1272: 1269: 1265: 1262: 1261: 1260: 1257: 1256: 1254: 1252: 1248: 1242: 1239: 1237: 1234: 1232: 1229: 1227: 1224: 1222: 1219: 1217: 1216:Referrer spam 1214: 1212: 1209: 1207: 1204: 1202: 1199: 1197: 1194: 1192: 1189: 1187: 1184: 1182: 1179: 1178: 1176: 1174: 1170: 1164: 1161: 1159: 1156: 1154: 1151: 1149: 1146: 1144: 1141: 1139: 1136: 1134: 1131: 1129: 1126: 1124: 1121: 1119: 1116: 1114: 1111: 1109: 1106: 1105: 1103: 1101: 1097: 1087: 1084: 1082: 1081:Telemarketing 1079: 1077: 1074: 1072: 1069: 1067: 1064: 1062: 1059: 1057: 1054: 1052: 1049: 1047: 1044: 1042: 1039: 1037: 1034: 1033: 1031: 1027: 1021: 1018: 1016: 1015:Pink contract 1013: 1011: 1008: 1006: 1003: 1001: 998: 996: 993: 991: 988: 986: 983: 981: 978: 976: 973: 972: 970: 968: 964: 961: 959: 955: 951: 944: 939: 937: 932: 930: 925: 924: 921: 911: 907: 904: 899: 896: 884:on 2011-07-06 883: 879: 873: 870: 866: 862: 859: 854: 851: 847: 843: 840: 834: 831: 818: 814: 810: 804: 801: 798: 794: 791: 785: 782: 779: 775: 772: 766: 763: 759: 755: 752: 748: 745: 741: 737: 734: 729: 726: 722: 718: 715: 710: 707: 695: 689: 686: 683: 679: 676: 672: 671: 664: 661: 646: 639: 638: 630: 627: 624: 618: 616: 612: 597: 590: 584: 581: 569: 565: 561: 555: 552: 541:on 2007-02-03 540: 536: 530: 527: 522: 518: 514: 510: 504: 501: 489: 485: 479: 476: 465:on 2006-12-10 464: 460: 453: 450: 438: 434: 427: 424: 417: 413: 410: 408: 405: 403: 400: 398: 395: 394: 390: 385: 381: 376: 372: 368: 364: 361: 360: 355: 352: 351: 346: 343: 342: 338: 334: 330: 327: 326: 321: 318: 317: 313: 312:accessibility 308: 304: 301: 298: 297: 292: 288: 286:Contact forms 285: 284: 279: 276: 275: 271: 270:Google search 267: 264: 261: 258: 257: 253: 251: 243: 240: 239: 238: 236: 231: 227: 225: 217: 215: 211: 207: 204: 200: 195: 193: 188: 184: 180: 176: 174: 167: 164: 158: 156: 155:Google search 152: 147: 143: 139: 138:mailing lists 135: 131: 130:Google Groups 127: 119: 117: 115: 109: 107: 104: 101: 97: 93: 88: 86: 82: 78: 74: 71: 67: 63: 58: 56: 48: 46: 44: 40: 36: 32: 19: 1264:Lottery scam 1221:Scraper site 1191:Doorway page 1061:Mobile phone 1041:Cold calling 1019: 903:robotcop.org 898: 886:. Retrieved 882:the original 872: 853: 833: 821:. Retrieved 812: 803: 784: 765: 747: 733:SEO Glossary 728: 709: 697:. Retrieved 688: 670:A List Apart 668: 663: 652:. Retrieved 636: 629: 603:. Retrieved 583: 572:. Retrieved 563: 554: 543:. Retrieved 539:the original 529: 512: 503: 492:. Retrieved 478: 467:. Retrieved 463:the original 452: 441:. Retrieved 426: 412:Web scraping 362:Spider Traps 248: 232: 228: 221: 212: 208: 196: 182: 178: 170: 168: 159: 123: 110: 89: 59: 52: 30: 29: 1226:Social spam 1138:Greylisting 1108:Client-side 1036:Auto dialer 813:fleiner.com 407:Web crawler 367:spider trap 307:obfuscation 151:web spiders 100:example.com 1231:Spam blogs 1196:Forum spam 1173:Spamdexing 1046:Flyposting 1005:Image spam 967:Email spam 888:2011-02-12 654:2014-07-18 605:2007-05-28 574:2021-07-04 545:2021-07-04 513:efa.org.au 494:2007-01-06 469:2007-01-06 443:2007-10-30 418:References 402:Email spam 375:robots.txt 357:disrupted. 303:JavaScript 39:bulk email 1211:Link farm 1181:Blog spam 1100:Anti-spam 1066:Newsgroup 1056:Messaging 958:Protocols 337:reCAPTCHA 281:manually. 179:appending 173:e-pending 73:Web pages 1304:Spamming 1298:Category 1276:Phishing 1186:Cloaking 1163:Spamhaus 1071:Robocall 1051:Junk fax 906:Archived 861:Archived 842:Archived 823:18 March 817:Archived 793:Archived 774:Archived 754:Archived 736:Archived 717:Archived 699:18 March 678:Archived 645:Archived 596:Archived 568:Archived 521:Archived 488:Archived 437:Archived 391:See also 371:honeypot 218:Legality 192:mortgage 187:magazine 134:spambots 62:software 55:spammers 1158:SpamCop 1076:Spambot 1020:Spambot 1010:Joe job 333:CAPTCHA 328:CAPTCHA 199:Web bug 114:Quechup 49:Methods 380:tarpit 305:email 277:Images 126:Usenet 77:Usenet 70:spider 1281:Voice 1236:Sping 1153:SORBS 1029:Other 995:DNSWL 990:DNSBL 648:(PDF) 641:(PDF) 599:(PDF) 592:(PDF) 291:forms 183:email 146:WHOIS 1086:VoIP 825:2023 701:2023 203:HTML 144:and 66:bots 43:spam 181:of 142:DNS 41:or 1300:: 815:. 811:. 614:^ 594:. 566:. 562:. 515:. 511:. 365:A 105:, 102:, 83:, 79:, 57:. 45:. 942:e 935:t 928:v 891:. 827:. 703:. 657:. 608:. 577:. 548:. 497:. 472:. 446:. 175:" 171:" 20:)

Index

E-mail address harvesting
email addresses
bulk email
spam
spammers
software
bots
spider
Web pages
Usenet
mailing list archives
internet forums
dictionary attack
directory harvest attack
example.com


Quechup
Usenet
Google Groups
spambots
mailing lists
DNS
WHOIS
web spiders
Google search
network segment
e-pending
magazine
mortgage

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