Malicious PDF — malware analysis report

Static analysis result for SHA-256 45440911c4713402…

MALICIOUS

PDF

45.9 KB Created: 2020-08-10 06:14:14 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 8c2c30b03e7b4efad165dd05c9b2b7d1 SHA-1: a5a3655c43c29931743f75f2204e2cc7a1a90d6c SHA-256: 45440911c4713402d6cbac9c1391e1bf3fd9c0a015ea98f267fd5e46ce401228
194 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, many pointing to Shopify domains hosting other PDFs, but one critical link directs to a known malicious redirector. This suggests a link farm or SEO poisoning tactic to drive traffic to malicious sites. The primary malicious URL identified is https://ttraff.ru/pify?keyword=use+of+conjunctions+in+english+grammar+pdf, which is likely used to redirect users to further malicious content.

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/pify?keyword=use+of+conjunctions+in+english+grammar+pdf In PDF document text
    • http://kumim.mccullochsfitness.com/uploads/1/3/2/7/132710712/9556449.pdfIn PDF document text
    • http://files.jsiglobalinc.com/uploads/1/3/1/4/131437725/4836894.pdfIn PDF document text
    • http://files.vinyldesignyl.com/uploads/1/3/1/4/131453109/xidaw.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/1/0434/2952/7709/files/zitojenemijibijome.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0449/6615/0303/files/carpal_tunnel_syndrome_physical_therapy.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/5393/0901/files/zunenegefe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/0380/5847/files/bruxismo_infantil_tratamento.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/2427/7923/files/44809126374.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4320/0929/files/machine_learning_applications_in_healthcare.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/0304/4263/files/pufibupijuwu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9108/2918/files/54472197063.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4421/6730/files/murepo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/5115/5618/files/wekenolifewixop.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_off000073c3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x73C3 5636 bytes
SHA-256: 803cee6f7a1e81845e6578586c6a6f1bc028412d3f3050c4593b25081639fd04
font_01_sfnt_off000086cc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x86CC 10136 bytes
SHA-256: 5c2281931f568c410520e5549e5222e1b19efa4f79052ad1573a8bba848a0b20