Malicious PDF — malware analysis report

Static analysis result for SHA-256 860aa0771fee3601…

MALICIOUS

PDF

48.8 KB Created: 2020-08-03 01:22:29 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 4b79c7d7527efbffdb4acd7516b7bc59 SHA-1: a994c937a55e9db12e88a361879fcd4d3e5608bf SHA-256: 860aa0771fee36010ba39a66cb783db4b2b632e01d5d34ec7382c944993532fa
194 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 domains hosting other PDFs, forming a link farm. A critical heuristic identified a link to a known malicious redirector, ttraff.cc, which is likely used to obscure the final destination and potentially deliver a malicious payload or phish for credentials. The ML classifier also strongly indicated maliciousness.

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.cc/pify?keyword=junji+ito+human+chair In PDF document text
    • http://files.telecollaboration.eu/uploads/1/3/1/4/131483830/3059921.pdfIn PDF document text
    • http://files.nutritionbythesea.com/uploads/1/3/0/7/130775393/385328.pdfIn PDF document text
    • http://files.wd-consult.com/uploads/1/3/0/8/130874148/4076746.pdfIn PDF document text
    • http://files.spanish.thelanguagehub.net/uploads/1/3/0/7/130740465/1497352.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0428/1240/7967/files/wewiwutomaxapomuzex.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/2068/8282/files/gelela.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/7061/1861/files/vogijedaz.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/7415/0809/files/xekibezanivodaba.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/9945/5642/files/38267661642.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0441/0625/2440/files/nifororeg.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/0763/1783/files/13286747137.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/6512/1699/files/numpy_normalize_columns.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/5465/1799/files/xotemol.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/xidab.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9334/3912/files/63680856430.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/9443/2161/files/business_data_communications_and_it_infrastructures.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/9121/3990/files/13619498064.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/1561/8203/files/61260775602.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 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006644.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6644 4496 bytes
SHA-256: 861e89ae8285d8ba5b0af1dc69427b0c3743075a7218909c0089f9f416a41f95
font_01_sfnt_off000075f6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75F6 4660 bytes
SHA-256: 62ac20754e077e4d48a07d6c39876807f630c70d88a55ed5bb6fbed836e08e2d
font_02_sfnt_off0000858c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x858C 10052 bytes
SHA-256: d2e7e8aeab48859f6ccebbc5c7972233086f358124af4c46d599daf716f87e6b
font_03_sfnt_off0000a7b4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA7B4 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2