Malicious PDF — malware analysis report

Static analysis result for SHA-256 0917893773b4c207…

MALICIOUS

PDF

44.3 KB Created: 2020-10-27 15:22:57 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-07
MD5: ad57f8bf8cb1816a9d5b0651ac506c7e SHA-1: 23428207415ed094862dc3aae0b8616e21424597 SHA-256: 0917893773b4c2075a0d44c4bddaaa1dd8d979e34745fa51e7169c97f514e3d0
162 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a large number of embedded links, many pointing to Shopify and AWS, suggesting a link farm or SEO manipulation tactic. One critical heuristic identified a link to known malicious redirector infrastructure at `https://gettraff.ru/strik?keyword=contact+print+under+magnifications`. The ML classifier strongly indicated maliciousness, and the document body contains urgency language, further supporting a malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Urgency / deadline lure low SE_URGENCY_LURE
    Document contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
  • 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://gettraff.ru/strik?keyword=contact+print+under+magnifications In PDF document text
    • https://rolosakuzorega.weebly.com/uploads/1/3/1/3/131379035/gumilixolugow_gexetu_sozurunafo_xerajejozipelod.pdfIn PDF document text
    • https://noxepelobisuse.weebly.com/uploads/1/3/1/8/131871648/02fdd.pdfIn PDF document text
    • https://fijefozumomaba.weebly.com/uploads/1/3/4/4/134491855/nagizejuja.pdfIn PDF document text
    • https://sowofinonapira.weebly.com/uploads/1/3/4/3/134361296/bukerudoxar-kowamijewowuba-laropobedodeg.pdfIn PDF document text
    • https://bizumoku.weebly.com/uploads/1/3/2/6/132681494/746383.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/3629/0467/files/4147676100.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0504/4650/0030/files/preeclampsia_and_eclampsia_guidelines.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/1799/3877/files/cummins_onan_generator_operator_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/pazifetanegapu/le_train_de_nulle_part_free_download.pdfIn PDF document text
    • https://s3.amazonaws.com/dobesogum/frasi_analisi_logica_con_soluzioni.pdfIn PDF document text
    • https://s3.amazonaws.com/daraniwekamidir/92111962246.pdfIn PDF document text
    • https://s3.amazonaws.com/zarusegibitumet/bivariate_frequency_distribution_and_correlation_class_12.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/30542036953.pdfIn PDF document text
    • https://s3.amazonaws.com/janodojivi/ar_190-_11.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/first_and_second_world_war_in_hindi.pdfIn PDF document text
    • https://s3.amazonaws.com/fokapikow/bahrain_bus_map.pdfIn PDF document text
    • https://s3.amazonaws.com/betefowubevat/gukapuwovafujamumil.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/kogovamixodatovekovalugon.pdfIn PDF document text
    • https://s3.amazonaws.com/lebaxa/bovopiremiditig.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006c5e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6C5E 5348 bytes
SHA-256: 181a6127a24a16b3163e188bbcd7647d9c851baa35671e398c740cb0f1f238ff
font_01_sfnt_off00007e75.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7E75 11000 bytes
SHA-256: 1804bcd1a6ded2550166dbda52523f4d49871126295cdeb6e57be1e4515f9a9d

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