Malicious PDF — malware analysis report

Static analysis result for SHA-256 de974564ff0ee554…

MALICIOUS

PDF

43.6 KB Created: 2020-08-29 21:00:09 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: a44685e85a93c40dcae8cf7de1d45e9e SHA-1: 67341c54dd98c345f993db53a2161bcedca633ad SHA-256: de974564ff0ee554a3c15b44a37b8e97bcd98b8238db4fa7f4eabf2b65a247eb
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a mass external link farm, with one URL pointing to a known malicious redirector. The document body, though heavily corrupted, contains text related to 'Vision por computador pdf' and includes the malicious URL. This suggests a phishing attempt to redirect users to malicious content.

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.com/wix?keyword=vision+por+computador+pdf
    • https://cdn.shopify.com/s/files/1/0463/6092/0219/files/sukabujesimawa.pdf
    • https://cdn.shopify.com/s/files/1/0445/5694/3524/files/argentina_visa_application_form_in_nigeria.pdf
    • https://cdn.shopify.com/s/files/1/0428/7997/5591/files/49772197773.pdf
    • https://cdn.shopify.com/s/files/1/0429/8378/4601/files/air_bag_suspension_system.pdf
    • https://cdn.shopify.com/s/files/1/0429/1208/8231/files/62699981247.pdf
    • https://cdn.shopify.com/s/files/1/0428/4927/1975/files/all_functions_in_python.pdf
    • https://cdn.shopify.com/s/files/1/0434/8438/1350/files/papegadalutug.pdf
    • https://cdn.shopify.com/s/files/1/0436/9947/0486/files/zibiwarekegevirina.pdf
    • https://static.usrfiles.com/ugd/7ea8bb_c1b3ad5e2b664cefb9309aa7a6a1152b.pdf
    • https://static.usrfiles.com/ugd/b8c837_71579a2e973a4942a47c4e245a47f217.pdf
    • https://static.usrfiles.com/ugd/b8c837_e4528cdedf9f4bfa8a790608bcd52e69.pdf
    • https://static.usrfiles.com/ugd/b8c837_2e7d491488694388b49b5e72010ebf10.pdf
    • https://static.usrfiles.com/ugd/b8c837_91bd76de3e76456eaec83261e4df3258.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_off00006cfa.bin
a08d08706124c382726d354a3d1df35e6587e499312da0d090ada8e94b7be117		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6CFA 5236 bytes
font_01_sfnt_off00007eac.bin
b8dc0ffd76ae195042dbfdd536d3c0cfd0d4da40a48cdc0b32eeb9157ba8a19b		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7EAC 10276 bytes

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