Malicious PDF — malware analysis report

Static analysis result for SHA-256 aace489130d23ecb…

MALICIOUS

PDF

41.0 KB Created: 2020-09-02 21:57:30 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 23403d9b681ba29dd6806b7f0ccdf16f SHA-1: fd8f7b66345f8791aac014c31371fb3996f8c6f5 SHA-256: aace489130d23ecb443316cd01792e708346674863d2c13f0f023de0c6beace9
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.link/pify?keyword=esef+reporting+manual In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_617fdbd2671548e68497e571a57e0c68.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/c068f8_b8e596e284464205b3d9d5cf41f13feb.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/6d59ab_79fec7652c714b76b1531ed8886eb1c2.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/1fbf8b_b4874ddc82a140f7add223092f923049.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/2813e2_0e3cc179babb4e238a8bec110daee50f.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/6094/5305/files/cabin_in_the_woods_streaming.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3183/0421/files/bujipekerijogovuduwazesow.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/1216/1685/files/de_crculo_alrededor_de_saturn.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/6318/9412/files/bayes_theorem_conditional_probability_examples.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/e8506d_b64c045c3fe448d49f945727d941409f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/158fb9_4c0cdf04f8014a3fb347bcb12975af7e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_8a4153a7e19d47fa837278ad535180e7.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/ac51ce_68b95894ded6404eaefc8c1d5ed650f9.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/1243/8685/files/9634904056.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/3831/9527/files/98379265094.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/4745/0784/files/dictionary_of_italian_slang_and_colloquial_expressions.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_off00006245.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6245 5180 bytes
SHA-256: 05974446fca320b410561804da86ecb15a399ecd9209f11443d9e444bd580b00
font_01_sfnt_off000073d2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x73D2 10392 bytes
SHA-256: 9c994ba9bae1208b3e6a2aff09e907a8d314388540b586d0b615cc4caca9cf2b

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