Malicious PDF — malware analysis report

Static analysis result for SHA-256 e43367672842e202…

MALICIOUS

PDF

37.3 KB Created: 2020-10-09 18:51:41 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: aaa853f3bce98f1988188c9ce0b2e730 SHA-1: 17348011241d22f16ec69e17b225aff972dad41d SHA-256: e43367672842e202aa60e4adbc1b0d29bb017757fedbb769201e7832d98e8974
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://cctraff.ru/strik?keyword=sin+cos+tan+worksheet+pdf In 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/e5c6226c-23c5-4bec-81cc-32670edef5b1/wedaguriti.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/15b23504-e144-4fbb-be59-f2962a644dbb/zamimanosuvawizate.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/588cc335-b395-4460-b583-80b4f0c5e56c/17008008876.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1129e0b1-4045-4b0e-a652-3dbe8befa569/62106344366.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/abd202ce-4f99-4d84-81b1-1b718ba0c943/xolobatusafilug.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/5791/3754/files/hononegah_high_school_employment.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/3775/1453/files/goat_cheese_pizza_sauce.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/2746/6904/files/69286350946.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0459/7687/9271/files/maferoruj.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/eb70d845-dd56-4dd8-8f91-a153aeec7146/676686188.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d7f5af02-d360-4a21-922a-783eae77c835/66867630810.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b00d33d9-7bc2-4ecc-a959-9b13c95e4cbd/77011730389.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c36ba871-96f4-4c52-8c58-d55b2006603a/63961541336.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6b9c89f9-f2ad-4e12-8aaa-28bb0ef6ced3/83861432194.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/edce4c78-7c62-4953-968d-85b04b2a1c1d/galunewa.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4c00eb8c-a613-4b56-a9d9-9781bb1e14de/wadizigozosupaboxi.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_off00005486.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5486 5472 bytes
SHA-256: 54d84d61088fca6f2b77a3bdc09b758313f6e616a26ac2116d3c002c804f7e02
font_01_sfnt_off0000672f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x672F 9896 bytes
SHA-256: 50a770f5dc333fd3ddaf423f0fe58a21edbf162dade7e1ecc7e63b2fbb854961

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