Malicious PDF — malware analysis report

Static analysis result for SHA-256 2cecc9e5bc970cb6…

MALICIOUS

PDF

38.9 KB Created: 2020-08-29 01:25:00 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: a5a6886008ae4a85adf22b533e0b3f15 SHA-1: b005f5098e12faf45e2f725ba6caa0e157a9a11c SHA-256: 2cecc9e5bc970cb6ca7be1f70bdabe4110fa36bcbdee162e8657724ddb2d2767
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains a large number of embedded links, with one specifically identified as a malicious redirector. The ML classifier also strongly indicated maliciousness. The presence of numerous links, including one pointing to `ttraff.cc`, suggests a link farm or phishing attempt designed to lead users to malicious content. No scripts were extracted, and the document body was heavily obfuscated.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://ttraff.cc/wix?keyword=q+es+introduccion
    • https://cdn.shopify.com/s/files/1/0438/8657/5771/files/cours_allemand.pdf
    • https://cdn.shopify.com/s/files/1/0434/8228/4194/files/65832025233.pdf
    • https://cdn.shopify.com/s/files/1/0434/1825/5510/files/70264674283.pdf
    • https://cdn.shopify.com/s/files/1/0462/2725/9541/files/performance_analysis_of_algorithm_in_data_structure.pdf
    • https://cdn.shopify.com/s/files/1/0429/3260/0985/files/87789039141.pdf
    • https://cdn.shopify.com/s/files/1/0434/7451/8178/files/az_300t01_deploying_and_configuring_infrastructure.pdf
    • https://static.usrfiles.com/ugd/b8c837_161157c80ca949628ceda4d1d843ee1f.pdf
    • https://static.usrfiles.com/ugd/b8c837_82604b37717b438c8eb4eb3c6dadff66.pdf
    • https://static.usrfiles.com/ugd/b8c837_4d1a1d37448548b1a9bbe40b3a861ae5.pdf
    • https://static.usrfiles.com/ugd/b8c837_71205bbc53eb4b099c60c9424b31e795.pdf
    • https://static.usrfiles.com/ugd/b8c837_fe7949643807437c89404e23c6aef9fe.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00005a72.bin
f3706f8070476cdcb9d69eef725f8710e426edd8bbfa77a6cfacf4d761b9ad52		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5A72 4752 bytes
font_01_sfnt_off00006aa6.bin
67c0350e2c4a148f516343bb15a19e65c48638b647a6e84d5d237d752718c79f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6AA6 10844 bytes

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