{"id":8544,"date":"2025-11-19T04:03:35","date_gmt":"2025-11-19T04:03:35","guid":{"rendered":"https:\/\/serisec.com\/index.php\/2025\/11\/19\/32490\/"},"modified":"2025-11-19T04:03:35","modified_gmt":"2025-11-19T04:03:35","slug":"32490","status":"publish","type":"post","link":"https:\/\/serisec.com\/index.php\/2025\/11\/19\/32490\/","title":{"rendered":"Decoding Binary Numeric Expressions, (Mon, Nov 17th)"},"content":{"rendered":"<p>    Decoding Binary Numeric Expressions, (Mon, Nov 17th)<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>In diary entry &#8220;<a href=\"https:\/\/isc.sans.edu\/diary\/Formbook%20Delivered%20Through%20Multiple%20Scripts\/32480\">Formbook Delivered Through Multiple Scripts<\/a>&#8220;, Xavier mentions that the following line:<\/p>\n<pre data-endline=\"18\" data-startline=\"18\" style=\"background: rgb(238, 238, 238); border: 1px solid rgb(204, 204, 204); padding: 5px 10px;\">\nNestlers= array(79+1,79,80+7,60+9,82,83,72,69,76,76)<\/pre>\n<p data-endline=\"20\" data-startline=\"20\">decodes to the string POWERSHELL.<\/p>\n<p data-endline=\"20\" data-startline=\"20\">My tool <a href=\"https:\/\/github.com\/DidierStevens\/DidierStevensSuite\/blob\/master\/numbers-to-hex.py\">numbers-to-hex.py<\/a> is a tool that extracts numbers from text files, and converts them to hexadecimal.<\/p>\n<p data-endline=\"20\" data-startline=\"20\">Like this:<\/p>\n<p data-endline=\"20\" data-startline=\"20\"><img decoding=\"async\" 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\"><\/p>\n<p data-endline=\"20\" data-startline=\"20\">I can then use another tool, <a href=\"https:\/\/github.com\/DidierStevens\/DidierStevensSuite\/blob\/master\/hex-to-bin.py\">hex-to-bin.py<\/a> to convert the hexadecimal numbers to binary, and then we see this string:<\/p>\n<p data-endline=\"20\" data-startline=\"20\"><img decoding=\"async\" src=\"data:image\/png;base64,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\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\"><\/p>\n<p data-endline=\"20\" data-startline=\"20\">This string is not exactly the string POWERSHELL, but we can see parts of it.<\/p>\n<p data-endline=\"20\" data-startline=\"20\">The reason the decoding fails, is because of binary numeric expressions like this one: 79+1<\/p>\n<p data-endline=\"20\" data-startline=\"20\">My tool numbers-to-hex.py does not recognize\u00a0binary numeric expressions like 79+1, it just recognizes two numbers: 79 and 1.<\/p>\n<p data-endline=\"20\" data-startline=\"20\">79 converted to hexadecimal is 4f, and 1 converted to hexadecimal is 01.<\/p>\n<p data-endline=\"20\" data-startline=\"20\">Those hex numbers converted to ASCII give O (4f) and a smiley (01).<\/p>\n<p data-endline=\"20\" data-startline=\"20\">So Xavier&#8217;s example inspired me to update my tool, so that it can also handle\u00a0binary numeric expressions (binary here means that the operator, + in our example, takes 2 operands).<\/p>\n<p data-endline=\"20\" data-startline=\"20\">You enable this mode with option -e:<\/p>\n<p data-endline=\"20\" data-startline=\"20\"><img decoding=\"async\" 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\"><\/p>\n<p data-endline=\"20\" data-startline=\"20\">So this time, 79+1 is converted to 50 hexadecimal.<\/p>\n<p data-endline=\"20\" data-startline=\"20\">And this properly decodes this obfuscated string:<\/p>\n<p data-endline=\"20\" data-startline=\"20\"><img decoding=\"async\" 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\"><\/p>\n<p data-endline=\"20\" data-startline=\"20\">\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>Didier Stevens<br \/>\nSenior handler<br \/>\n<a href=\"http:\/\/blog.didierstevens.com\/\">blog.DidierStevens.com<\/a><\/p>\n<p> (c) SANS Internet Storm Center. https:\/\/isc.sans.edu Creative Commons Attribution-Noncommercial 3.0 United States License.<\/p><\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><\/p>\n<p> \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/isc.sans.edu\/diary\/rss\/32490\">Go to isc.sans.edu<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Decoding Binary Numeric Expressions, (Mon, Nov 17th) In diary entry &#8220;Formbook Delivered Through Multiple Scripts&#8220;, Xavier mentions that the following line: Nestlers= array(79+1,79,80+7,60+9,82,83,72,69,76,76) decodes to the string POWERSHELL. My tool numbers-to-hex.py is a tool that extracts numbers from text files, and converts them to hexadecimal. Like this: I can then use another tool, hex-to-bin.py to [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[69],"class_list":["post-8544","post","type-post","status-publish","format-standard","hentry","category-isc-sans-edu","tag-isc-sans-edu"],"_links":{"self":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/8544"}],"collection":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/comments?post=8544"}],"version-history":[{"count":0,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/8544\/revisions"}],"wp:attachment":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/media?parent=8544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/categories?post=8544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/tags?post=8544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}