Malicious PDF — malware analysis report

Static analysis result for SHA-256 8a502069d81ec829…

MALICIOUS

PDF

41.2 KB Created: 2020-10-02 05:43:09 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: c7a5d0c720060dd972df03a6277355f1 SHA-1: d7e79f48f1790132ae0443cde9b7d10a2c81b8a6 SHA-256: 8a502069d81ec829864dba7270e92e326cfda399508f947f950baeeaab5aa03c
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://gettraff.ru/strik?keyword=para+selena+con+amor+libro+completo In PDF document text
    • http://files.amwellvalleyhounds.com/uploads/1/3/1/4/131406344/8120592.pdfIn PDF document text
    • http://delus.thebeckeffect.com/uploads/1/3/0/7/130775545/koluxufabatuva.pdfIn PDF document text
    • http://faxug.nikkipinkwriter.com/uploads/1/3/0/7/130739916/fdfd7.pdfIn PDF document text
    • http://files.katielisk.com/uploads/1/3/0/7/130776629/lekutejav.pdfIn PDF document text
    • http://files.tanglewoodvillage.com/uploads/1/3/2/6/132683484/natuxijeza-lonirovulunatag-bojitolux.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/0cec5e45-3f2f-4955-a8ec-01a79c2d7d55/jesejubuwotife.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/749f0c81-cf99-42b6-bc34-a4468d51bfb5/78779532017.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0799dd91-a239-4193-b903-9f65b9cfa45e/devuvexuxidiwupatipami.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/9701/2890/files/macbeth_act_5_scene_1_discussion_questions.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/2559/1204/files/95168105754.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/51c652ab-c067-4668-9b8b-fcc8ade083ed/65343788432.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9c9762ee-a914-4ebf-b7c0-c0f047b8bf68/fajigivikogoxumebula.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9228256f-da0c-416d-ae70-7a70d566a28c/50011178234.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1ae4bc18-7bb9-4759-86cf-a46280907a4b/peregoxarawavin.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/849fc251-fffc-447f-afbd-1424d6cf8915/68474691066.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000058c4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x58C4 5220 bytes
SHA-256: 07cd1cd9d7950923b0062ab4c1fbb7f63e398e1e35e3f1066c3f0cae47570313
font_01_sfnt_off00006a64.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6A64 1884 bytes
SHA-256: f5a3e0886b95c9b467f99b5e94d28133f575fbf2270330b68ad91cfe8bde1cf1
font_02_sfnt_off00007382.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7382 10600 bytes
SHA-256: f9ace5f84d7777cf2ac118f58dec26846f12be02f374b17f153b84e2baca9b79