Malicious PDF — malware analysis report

Static analysis result for SHA-256 871d932c8058724e…

MALICIOUS

PDF

42.3 KB Created: 2020-09-14 07:17:59 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-07
MD5: 00237a9353ddd8c3caa82d11733b3440 SHA-1: abd27acaff7aa568c2780196c21b625f38ea7872 SHA-256: 871d932c8058724ee1cb3f4533fa99666e40ea25b0b5988a167d819f5b531af5
194 Risk Score

Malware Insights

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

The PDF contains numerous links to external resources, including a primary redirector at 'https://ttraff.ru/wix?keyword=the+last+necromancer+pdf'. This suggests a phishing or scam attempt, likely delivered as a spearphishing attachment. The ML classifier strongly indicates maliciousness, and the presence of embedded URLs points towards an attempt to redirect the user to malicious infrastructure.

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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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=the+last+necromancer+pdf In PDF document text
    • http://files.auzpexbeauty.com/uploads/1/3/0/7/130739918/xafenibika_netezifofawov_lejixopagem.pdfIn PDF document text
    • http://files.risingravenband.com/uploads/1/3/1/3/131384018/buvab.pdfIn PDF document text
    • http://pogefow.aspireinsurancegroup.com/uploads/1/3/0/7/130776131/bokuxake-detubuv.pdfIn PDF document text
    • http://tuwemesi.southernfisheries.org/uploads/1/3/1/4/131437308/9197c8283.pdfIn PDF document text
    • http://vowupoj.mirrorimagedanceteam.com/uploads/1/3/1/3/131380213/terokano_mamevagiri_wuneluwuwuzikut_bizirijuwozeva.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://static.usrfiles.com/ugd/a44510_77e3188ad45c4282af8f0e0b3352a036.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/8a419d_bbcc8cb22cf94f91b4f278cda5d2f7db.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/c4ccc4_5bed26bfc7ab4c5e97986b27298125b4.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/f6a907_fd959f91d25145ef8b8ae962f34ecc26.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b65acf_d9c1098cd63c4caba98d374db69403cf.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/e02969_ad25ac41742545f5bf02ea0eeb2ecc4b.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_847600236a9d42ee85982da61d0b7367.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/ea5d7b_52db215b6b4a41e7871c11d82c10b5c3.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/9739/1261/files/39959878414.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0461/6405/0083/files/100_palabras_mas_usadas_en_ingles.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_off000064bf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x64BF 5344 bytes
SHA-256: b74f54e8b51af6d304b9ce32e4c9c29cbf08134f81a2cea2c60fc3f48bc396c9
font_01_sfnt_off000076bd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x76BD 12336 bytes
SHA-256: 9d58262774eec53bf34275f91354541a6d4d7425e29f03a57e8c9e22d77595f3