Malicious PDF — malware analysis report

Static analysis result for SHA-256 aa851c6aa16d8277…

MALICIOUS

PDF

42.3 KB Created: 2020-10-16 14:46:32 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-06
MD5: 20af0e922b4021f2c33de4398fa0c168 SHA-1: 4624f8fa0d3f7c5356f282140fdac6845d14b8c9 SHA-256: aa851c6aa16d8277451449be75a4d681a8c84c40286f34ff2fc4adeba53db95c
194 Risk Score

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/123?keyword=transferring+from+android+to+android+phone In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366623/normal_5f8932b4ee395.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366639/normal_5f88ff72d31fd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367281/normal_5f875d132886e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368731/normal_5f89615bf26eb.pdfIn PDF document text
    • https://poxobavu.weebly.com/uploads/1/3/1/4/131453713/4703048.pdfIn PDF document text
    • https://moxoviwepikiwu.weebly.com/uploads/1/3/2/8/132814726/nugofoziginanigipux.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/bbb4c60b-4dfc-4cd8-ab7f-13eab4b9842d/45956782273.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8002eee8-d53f-4d23-8e90-7ecd5cbc7aa3/mujuj.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7f93e72f-8e34-4877-923a-75ff2c700bff/71821949352.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1d8aec96-28d5-4938-94fd-95adcd6b0f3b/51526566512.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/46a5fb4b-3b65-4c49-86c5-d3304dad916c/89010333985.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8b198b53-01e9-4777-9cac-949034ac16b5/40911055446.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e0c84451-4030-4d77-996e-d6cb20fe0346/80447792821.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f0711243-c09f-49d5-9ae5-9e0ca7c0f5c4/gawosibabiduxulajaj.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0899ef8a-cd5c-47a9-a80b-ef60b26cf268/zigovopuwanitinonani.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/52de9d1e-0f40-4bab-936f-0d1f43b686b4/pozuvaxazetis.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0467/9670/1845/files/android_13_xenoverse_2.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/3326/4806/files/bunker_hill_security_camera_reviews.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_off0000656e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x656E 5372 bytes
SHA-256: 7261ce0a963dbfc546276c60d2f1d2e50a6ee1dacee9b184c3ac15f782f8a20c
font_01_sfnt_off00007786.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7786 10624 bytes
SHA-256: 662ae4ad51dc63dcbbfad60b6ffcc6199d6b4fb9730ccffa029689ff2aac384b