Malicious PDF — malware analysis report

Static analysis result for SHA-256 836a1e0843f412eb…

MALICIOUS

PDF

51.2 KB Created: 2020-08-10 11:00:50 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 82a73c7e8b62cac87a1a46509d8f1e07 SHA-1: ad1759966fe9d2771a1cf09451440c1f88304334 SHA-256: 836a1e0843f412eb52e1bf9418489f23a4f3ee4abb56dc7cdc0c783a5ef587e3
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains numerous embedded links, many of which point to a redirector service (ttraff.com) that is flagged as malicious. The document body and heuristics indicate a lure for free downloads, likely a phishing or scam attempt. The ML classifier strongly supports the malicious verdict.

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.com/pify?keyword=anesthesia+made+easy+pdf In PDF document text
    • http://files.mastconsultancy.com/uploads/1/3/1/3/131384429/perapomasudu_gedelozaxow_pinajovenubukoz.pdfIn PDF document text
    • http://files.stmarkstampa.org/uploads/1/3/1/4/131411596/bubamudapufi_runaji_murumozodazob.pdfIn PDF document text
    • http://files.drcarriebrennan.com/uploads/1/3/1/6/131606111/wivavudujizu-pelidu.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/1/0431/3173/2132/files/lovugosagifeluragemili.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/4555/2277/files/36050666796.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3192/8730/files/26407803265.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/1162/1543/files/kibevomobezilitufi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/8245/7000/files/34030268432.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/9282/6517/files/40803476514.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/5386/6408/files/isospora_belli_morphology.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/7899/1520/files/rinumuvadusenusikibomejeb.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0445/9141/5460/files/beatles_let_it_be_sheet_music.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3533/6616/files/types_of_emotions_list.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/3089/6026/files/43325130570.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/8066/3715/files/beekeeping_tools_and_equipment.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_off000088db.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x88DB 5244 bytes
SHA-256: 560eebe929a41b82f8eaca78157fb0221f0782503598a03e3af09aacc8f9a817
font_01_sfnt_off00009a9f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9A9F 10604 bytes
SHA-256: 8765431a80b3bf16f88225039bbf052e1997e87f0f96bb62f5dc4c8016a6000a