Malicious PDF — malware analysis report

Static analysis result for SHA-256 f057f174201374c0…

MALICIOUS

PDF

44.6 KB Created: 2020-08-28 00:54:43 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: f8038aa8b5103d6e4a6e3e3578fe6451 SHA-1: 9348cfeac82b95978e91ab1d9855f65a2b27459c SHA-256: f057f174201374c0a77fa103121650682165409d76c6a93dca453ddf61335cd7
234 Risk Score

Malware Insights

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

The PDF file contains a significant number of embedded URLs, many of which are part of a link farm hosted on Shopify. The primary malicious URL identified is 'https://ttraff.cc/pify?keyword=jon+snow+x+reader', which is flagged as a malicious redirector. The ML classifier strongly indicated maliciousness, and the presence of a link farm suggests an attempt to obscure malicious destinations or engage in SEO poisoning for malicious purposes.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • 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.
  • PDF link to algorithmically-generated URL high PDF_RANDOM_URL_LINK
    PDF contains a clickable HTTP(S) link whose host looks algorithmically generated (pronounceable-random labels) and whose path/query carries a long high-entropy token. This is the randomized-redirector pattern of malspam phishing lures — the visible document is only a prompt — not a PDF parser vulnerability.
  • 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.cc/pify?keyword=jon+snow+x+reader In PDF document text
    • http://zaxiru.noparameters.org/uploads/1/3/1/4/131438405/9d0b94025ddd.pdfIn PDF document text
    • http://files.jilleisert.com/uploads/1/3/1/0/131070633/baturuzufigij_besimusexagas.pdfIn PDF document text
    • http://xuled.comprehensivewellnesssolutions.com/uploads/1/3/1/4/131413418/rovivatipazi-botugisuda-pijuput-lipajojudowu.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/1/0437/3279/5541/files/fesuxuzewutufepixekuf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/2076/3804/files/nevibobaxativazuf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/1646/8133/files/django_secret_key_generator.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/0406/6983/files/navowedetatebufidu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1415/9521/files/neposobitonetupefem.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0461/5549/7635/files/44248928080.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/5746/3971/files/69595873384.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9019/8180/files/how_to_become_a_better_public_speaker.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/31052941417.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0450/5042/9598/files/the_firm_2012_tv_series.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/82505274200.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_off00007279.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7279 4936 bytes
SHA-256: ffe9055d35a4bcabad4a06178857110b2c2ab1cff3e8701d3fc2f0e712606dfa
font_01_sfnt_off0000835f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x835F 10140 bytes
SHA-256: 42d7935175746bc182bce079e0667202ede4d7976650c2e036b5c32ffb2e0aac