Malicious PDF — malware analysis report

Static analysis result for SHA-256 a478ef87ef05e591…

MALICIOUS

PDF

52.1 KB Created: 2020-08-11 04:45:14 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: f4d3ff5821cc020ef21b6ef227c2a014 SHA-1: 0b1a6c69b0d12b8a43a8c2bf1f79ecb50089fbfc SHA-256: a478ef87ef05e5912844177c1932e8b3db4645dda4ee31a6f6d2809864653f1f
202 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a malicious redirector link disguised as a document about natural toxins. The heuristic PDF_MALICIOUS_REDIRECTOR_LINK indicates that the link at https://ttraff.cc/wb?keyword=natural%20toxins%20in%20food%20pdf leads to known malicious infrastructure. The heuristic PDF_SEO_LINK_FARM indicates the PDF is part of a link farm, likely for SEO poisoning or to distribute malicious content. The document body contains garbled text but includes the malicious URL, suggesting an attempt to lure the user into clicking it.

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.
  • 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.
  • Urgency / deadline lure low SE_URGENCY_LURE
    Document contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
  • 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/wb?keyword=natural%20toxins%20in%20food%20pdf In PDF document text
    • http://zadatuga.triponaship.com/uploads/1/3/1/6/131606490/5096483.pdfIn PDF document text
    • http://domipet.hellobeautifulmn.com/uploads/1/3/1/3/131383664/55e25f851.pdfIn PDF document text
    • http://files.confidentlyuare.org/uploads/1/3/1/4/131437131/jifemexukutorop.pdfIn PDF document text
    • http://fontawesome.iohttp://fontawesome.io/license/In 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/1/0433/0687/7080/files/38140624907.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/8693/7253/files/43911554863.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/2935/6959/files/19325930850.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/7804/8162/files/ars_poetica_horace_summary.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/9755/5108/files/32988796347.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/1234/1412/files/85602126815.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/7218/3703/files/vikafekide.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/81579197248.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/4909/8148/files/carbomastic_15_lt.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/2092/7644/files/beleg.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0899/9072/files/weight_training_workout_plan.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

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000864c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x864C 1684 bytes
SHA-256: 4d3fb6748bdbfc0676bbc246a341b567ec3707c335db72ae26270b639488ab50
font_01_sfnt_off00008eb0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8EB0 5072 bytes
SHA-256: 3052e514c4a199e371bb5238603dba6c2eae237a513326e8d40260c9a0dd0217
font_02_sfnt_off0000a009.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA009 10324 bytes
SHA-256: 239969476f07c6ae913716a7fd25ee9dde796aee87a11336ab9bd8c42a2d3e58

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