Malicious PDF — malware analysis report

Static analysis result for SHA-256 fe7824aae4308943…

MALICIOUS

PDF

41.5 KB Created: 2020-09-06 18:43:48 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-04-10
MD5: 68f7a26eb6c85cc7835475b7d42fa242 SHA-1: 60a097f7cb6afa3bdf8a6a01868c51025b02f279 SHA-256: fe7824aae4308943100d4684b608e7cfc1d32f17c8c231e74b35ef58b25d2894
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.club/wix?keyword=formato+certificado+medico+escolar+sep+2019 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_45f32cf3ec2948f5b6d9871cdedec016.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/e481ce_504d177f62404efa93e117a29ea3e6f1.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/2813e2_8784b3db76d244a6bfdd293f8675939a.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/4c76bf_7c1f13f7c44e4f16aa6c547a78394a0b.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/08e331_c7a981edf74a43f0b93a9ca955f94b56.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/f55bec_d094fb09b24b44e6ac429bb0d3c3e6c5.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_dfe740756e4745bbb9da2d2cc664978e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/18f527_14ac3a1b28014280b95aee2fcff773c9.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/6668/7642/files/49620718833.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/5522/5763/files/rumefitolebofifejedu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/3037/1739/files/4579984309.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/74c34a_84b02bbc60df45f9b5dfa286f5e44caf.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/8cbfce_60090df322c645c49bead6cd6472f13c.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/85c99c_f77c90c689b24f69a3fc95d3ffbc9b5d.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/83e24f_69d8ee6a1e8d4ab3a85b2d13a2eacc5e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/4e6dd5_3d779f9318cd43ab818ed667388148e0.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_off00005e58.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5E58 5736 bytes
SHA-256: ffff8785df7b74413657be9bd80a7a093035cba0e8964510292bfb743e18d7d4
font_01_sfnt_off000071c7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x71C7 11480 bytes
SHA-256: e7b33a36fcf90295287989a7302bab507f2b51555ad3b12370f8b829de2b1a12

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