Malicious PDF — malware analysis report

Static analysis result for SHA-256 21cf5bf0a8eb761e…

MALICIOUS

PDF

42.9 KB Created: 2020-08-05 00:32:23 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: bffdf802da06efcefc4e338ecb7f0f59 SHA-1: e9f0c539342309841f8f8e3a54f2fd17cbca84bf SHA-256: 21cf5bf0a8eb761e090c1cba4cc7c453c3764a996328d0af3619c2971b309f27
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, many pointing to Shopify domains, but one critical link directs to a known malicious redirector. This suggests a link farm or SEO poisoning tactic designed to drive traffic to malicious infrastructure. The ML classifier strongly supports the malicious nature of this PDF.

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/pify?keyword=disociacion+auriculoventricular+pdf
    • http://files.compassionvet.com/uploads/1/3/1/6/131606069/9206395.pdf
    • http://files.sirbonifurnishings.com/uploads/1/3/0/8/130814340/gikiwigaluxu_nelixaxirum.pdf
    • http://files.portoconference2018.org/uploads/1/3/2/7/132740193/9415129.pdf
    • https://cdn.shopify.com/s/files/1/0432/5294/0968/files/9972282908.pdf
    • https://cdn.shopify.com/s/files/1/0429/6278/0311/files/bunegunipisemabedumuponez.pdf
    • https://cdn.shopify.com/s/files/1/0431/0741/8273/files/weezer_say_it_ain_t_so_chords.pdf
    • https://cdn.shopify.com/s/files/1/0433/0664/7717/files/4280424599.pdf
    • https://cdn.shopify.com/s/files/1/0430/3237/9545/files/92881487812.pdf
    • https://cdn.shopify.com/s/files/1/0434/6842/3334/files/bayesian_methods_for_data_analysis.pdf
    • https://cdn.shopify.com/s/files/1/0437/5661/7877/files/sapakaniweken.pdf
    • https://cdn.shopify.com/s/files/1/0431/6997/2383/files/627406058.pdf
    • https://cdn.shopify.com/s/files/1/0436/1394/6018/files/68929974234.pdf
    • https://cdn.shopify.com/s/files/1/0434/8251/3561/files/dujinawer.pdf
    • https://cdn.shopify.com/s/files/1/0433/4387/2150/files/37729481782.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_off00006a4d.bin
d011dd3cd6e141cfa4d35a6732cab9758731e6303058aa91d7018104a431cc75		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6A4D 5208 bytes
font_01_sfnt_off00007c22.bin
d6fa6e498f039c23fcc6b2a1744f672eb8ce1592638b055efee2a177b2902d2a		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7C22 10140 bytes

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