![]() Such verification comprises execution of a PDF reader application by the one or more virtual machines to process the portion of the body section of the PDF document and monitor behavior of the PDF document so as to determine if the portion of the body section of the PDF document includes malicious network content. When the portion of the body section of the PDF document is determined to include one or more suspicious characteristics indicative of malicious network content, the PDF document is provided to one or more virtual machines associated with the digital device to verify the inclusion of malicious network content in the portion of the body section of the PDF document. The examined body portion of the PDF document is lesser in size than an entirety of the body portion of the PDF document. Malware Attribute Enumeration and Characterization (MAEC) (pronounced mike) is a community-developed structured language for encoding and sharing. According to some embodiments, a PDF parser examines a body portion of a PDF document received over a network and intended for a digital device and determines if one or more suspicious characteristics indicative of malicious network content are included in the examined body portion of the PDF document. Acronis’ machine learning-based malicious PDF detection model, as with other file types described above, checks a variety of parameters to arrive at the correct verdict: Entropy Total character count Special keyword counts Number of lines, special assignment lines Etc. Example: js_unpack object 1 to analyze Javascript in object 1 and the result looks as in figures below.Systems and methods for analyzing malicious PDF network content are provided herein. It is recommended to use -w (for html) or -j (for json) or -x (for xml) option which export results in a specified format. Note: This command is run to every Javascript code found in a PDF (same as “js_analyse”). ![]() The outcome of this command is stages of Javascript codes, unescaped bytes, URLs. Furthermore, it evaluates all Javascript codes with multiple app.viewerVersion (some JavaScripts only work in a certain Adobe version, currently, mpeepdf evaluates over three main versions: 9.0, 10.0, and 11.0. XFA and /Acroform may contains Javascript in an embedded XML). In principle, it is similar to “js_analyse” however, it enriches the analyzed code by PDF’s metadata, annotation (to provide a return for getAnnot() and getAnnots() function) and fields in XML (if the script in the analyzed object is contained in an XML. It uses the V8 Javascript interpreter directly since V8 provides some benefits over PyV8. js_unpack command: adopts the JSUnpack’s approach.If it takes too long (it may due to automatic Javascript analysis), you can add option “ -m” to disable automatic JS analysis. mpeepdf may take from few seconds to minutes to parse a PDF depending on its size.Since malicious PDFs may not strictly follow a standard format, it is highly recommended to always use mpeepdf with the option “ -fl” which will ignore errors while parsing a PDF.If you see the warning of PyV8 and pylibemu not installed, mpeepdf can’t analyze Javascript code and shellcode respectively.-C, COMMANDS, - command=COMMANDS - Specifies a command from the interactive console to be executed.-w, HTMLPATH, - html=HTMLPATH - Exports the document information in JSON format.-j, JSONPATH, - json=JSONPATH - Exports the document information in JSON format.-x, XMLPATH, - xml=XMLPATH - Exports the document information in XML format.-v, - version - Shows program’s version number.-g, - grinch-mode - Avoids colorized output in the interactive console.-u, - update - Updates peepdf with the latest files from the repository.Useful with eternal loops like heap spraying. ![]() -m, - manual-analysis - Avoids automatic Javascript analysis.-l, - loose-mode - Sets loose parsing mode to catch malformed objects.-f, - force-mode - Sets force parsing mode to ignore errors.-c, - check-vt - Checks the hash of the PDF file on VirusTotal.-s SCRIPTFILE, - load-script=SCRIPTFILE - Loads the commands stored in the specified file and execute them.-h, - help - show this help message and exit.For all available commands in peepdf, it is best to refer to the original wiki from Jose. This article serves as a quick user guide to analyze PDF with mpeepdf. So I have spent most of my free time in several months to enhance it with some more capabilities, called mpeepdf (a modified version of peepdf). However, there are still some features that I want to add to peepdf. Thumbs up to the author - Jose Miguel Esparza. When analyzing a PDF document, there are multiple options in the toolkit like pdf-id, pdf-parser, pdfwalker (to view PDF structures via GUI), and especially peepdf which is just a great, all-in-one tool to analyze PDF. The ultimate goal of mpeepdf is to provide a unique, all-you-need framework for security researchers and analysts to investigate a PDF file. Mpeepdf is a modified version of a powerful Python tool - peepdf to analyze PDF documents. Investigate malicious PDF documents with mpeepdf - A quick user guide
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