Malicious PDF — malware analysis report

Static analysis result for SHA-256 5406952382c1f149…

MALICIOUS

PDF

40.5 KB Created: 2020-08-29 00:59:02 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 1dec463d0f44172004fe19432c4f084f SHA-1: fdeb2c2ce74e47c952d073875003b8e64a09449b SHA-256: 5406952382c1f149bfa6f6a14f1e379a88cc0387cbaab9915f3409ebc0c497f7
154 Risk Score

Malware Insights

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

The PDF document was flagged by a machine learning classifier as malicious. It contains a significant number of embedded links, many pointing to Shopify domains, but one critical link directs to `ttraff.ru`, a known malicious redirector. This suggests the document's primary purpose is to lure users through a link farm to a malicious site, likely for phishing or malware delivery. No scripts were extracted from this sample.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • 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.ru/wix?keyword=neutrogena+led+mask
    • https://cdn.shopify.com/s/files/1/0440/0866/9334/files/antivirus_boot_cd_free.pdf
    • https://cdn.shopify.com/s/files/1/0430/9087/0423/files/36017824715.pdf
    • https://cdn.shopify.com/s/files/1/0429/0835/2679/files/24055307701.pdf
    • https://cdn.shopify.com/s/files/1/0466/6694/0581/files/bayesian_data_analysis_second_edition.pdf
    • https://cdn.shopify.com/s/files/1/0429/8519/3621/files/variable_costing_vs_absorption_costing.pdf
    • https://cdn.shopify.com/s/files/1/0437/4115/1386/files/barreras_comerciales.pdf
    • https://static.usrfiles.com/ugd/b8c837_0b3745ad81a549aa8d7920947b94713a.pdf
    • https://static.usrfiles.com/ugd/b8c837_839798b4cd984c068e33bf5e1ff58a84.pdf
    • https://static.usrfiles.com/ugd/b8c837_ea766fa082de4f4b8f9cab86dc92a606.pdf
    • https://static.usrfiles.com/ugd/b8c837_76aad2d728b14300a16c97fce72db967.pdf
    • https://cdn.shopify.com/s/files/1/0438/6747/2037/files/arcarum_gbf_guide.pdf
    • https://cdn.shopify.com/s/files/1/0447/2753/3724/files/75287327894.pdf
    • https://cdn.shopify.com/s/files/1/0427/4687/1974/files/45269779823.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_off00005f77.bin
1484d2aa19bfa83d573693bf4cc2a9a16f18b187a4c8759e456051d09e5ec277
pdf-font-stream PDF embedded font (sfnt) at offset 0x5F77 5180 bytes
font_01_sfnt_off00007106.bin
819c2cc42a48f3c68a00a71b1d885d583e14f8252dd0fec0f516c4a8526f8410
pdf-font-stream PDF embedded font (sfnt) at offset 0x7106 10764 bytes