Malicious PDF — malware analysis report

Static analysis result for SHA-256 cde9091f1164eb93…

MALICIOUS

PDF

46.8 KB Created: 2020-10-15 18:19:27 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-04
MD5: 1118e5e3d7917042f50abe86a6d6c0c3 SHA-1: 7d2da6d9abc50e4ed9dce18c10790d3303fb949f SHA-256: cde9091f1164eb935e8f26627211b29b5f5217d789b9449b68e9876444738e8c
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://ggtraff.ru/123?keyword=bladder+cancer+guidelines+canada In PDF document text
    • https://viweposedijul.weebly.com/uploads/1/3/1/0/131070314/6293432.pdfIn PDF document text
    • https://rezizeme.weebly.com/uploads/1/3/0/7/130775554/8d959c.pdfIn PDF document text
    • https://sozivutapadonen.weebly.com/uploads/1/3/1/1/131164462/nekijorowudexa.pdfIn PDF document text
    • https://vuxozajuje.weebly.com/uploads/1/3/1/3/131379873/kekikefuwu.pdfIn PDF document text
    • https://keniwuki.weebly.com/uploads/1/3/1/4/131483234/mikukinib.pdfIn PDF document text
    • https://bedizegoresupa.weebly.com/uploads/1/3/1/3/131379398/zanazanekoxel.pdfIn PDF document text
    • https://zafozudakajadev.weebly.com/uploads/1/3/0/8/130814863/b628c54eef4e3.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/1/0433/4741/1096/files/preface_to_a_contribution_to_a_critique_of_political_economy.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/5561/4625/files/10732270419.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/4643/8565/files/5e_time_spells.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/1435/7151/files/ivoclar_monobond_plus_instructions.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/7670/4664/files/vulivisa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/0341/9556/files/vuvijet.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0485/1246/7106/files/mujapiwijaralulogifav.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d9a1bc4d-f69f-4fc6-88c8-dbfaeb771c19/65046218613.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3be9856e-8e6a-41b4-82a0-5843a0342c40/63984825251.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_off00006b7a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B7A 4848 bytes
SHA-256: 15291e5ae4b49d262db4c3af05b4597e56cc25d8bbcedfb3bca658e77032f84e
font_01_sfnt_off00007bf1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7BF1 10356 bytes
SHA-256: 6d6957c5bd6a78b3a27b2730bb1c4c697ae25a2108dd71bf913e5014991197aa
font_02_sfnt_off00009f6d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9F6D 4324 bytes
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176

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