Malicious PDF — malware analysis report

Static analysis result for SHA-256 0291e5c99af9ee5d…

MALICIOUS

PDF

67.5 KB Created: 2020-11-03 04:49:09 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: 58c033a0036ea0f6db9a6abec2b7370f SHA-1: 6370f822d513c28c1424881c495903e2917ba13d SHA-256: 0291e5c99af9ee5d41d26e3aa123f3f31e829d69cc90781d4b1a37a08f0b7f65
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.cc/123?keyword=legendary+azura+feh In PDF document text
    • https://cdn-cms.f-static.net/uploads/4386354/normal_5fa08eb288d84.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377120/normal_5f8b2c99d061f.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/unops_written_assessment_test_sample.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0493/1960/8479/files/fifovapab.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/6283/5368/files/hawaii_medical_school_mcat.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/8631/5167/files/34507893252.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0c77525c-42bc-490b-8641-4cd91c088a29/79092415362.pdfIn PDF document text
    • https://s3.amazonaws.com/welanisowari/medical_surgical_nursing_books_free_download.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4a386fb3-7d17-4f0d-a518-ed4aae85a53a/oasis_episode_2_release_date.pdfIn PDF document text
    • https://s3.amazonaws.com/kezemiradigu/94630138964.pdfIn PDF document text
    • https://s3.amazonaws.com/banula/wegomipurefigomolufu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5e224efe-ff45-45e0-a26f-e71fc1421af3/bujas.pdfIn PDF document text
    • https://s3.amazonaws.com/wazorixekunafob/84577137976.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/2717/6343/files/tupevudi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/5526/6454/files/jekapekanifixez.pdfIn PDF document text
    • https://s3.amazonaws.com/ribowexulo/nerve_growth_factors.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
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000a81c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA81C 2900 bytes
SHA-256: 10a07fc969e6c8cf41398fcfefa625e426b29a45b33f3716d0886db1405c0d2a
font_01_sfnt_off0000b25f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB25F 5052 bytes
SHA-256: cec4680ec08c61423085d3c36677afa430e260c07f8c6f770f1a731ece201fc2
font_02_sfnt_off0000c3a3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC3A3 11988 bytes
SHA-256: 79aaaf38ef06d911a004382b8838c3e8166fc9fd5058858383c271dab33f1336
font_03_sfnt_off0000eb0f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xEB0F 16228 bytes
SHA-256: 54d817be44148964d35942308da1ca368618372da85e248d941f6ed952da4c62

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