Malicious PDF — malware analysis report

Static analysis result for SHA-256 7abfba3bec9aba9c…

MALICIOUS

PDF

36.4 KB Created: 2020-09-07 03:39:44 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 15665994db9dad01630cc07f63cf81c2 SHA-1: cf4eb7ff3c0eee08c4eaa19e93539ba605e0f846 SHA-256: 7abfba3bec9aba9c04b6418cde031ddb5cbb8b5bbe179fd890fa97b2fe361fa3
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.com/wix?keyword=alphabet+tracing+practice+pdf 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/b56239_b7d8ba586112479fb44905d3dc63ea4f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/cbdbb6_a86d96caf4e341609d9b7d0bb5cf36d5.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/2e79a6_59ee1544b55b4c2bb927e6937a4d44d0.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/956c05_e95e5ec303914861bd395bce116c4adc.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/34e21e_68bab36a7f9345b7b4ed2c5dd60dc596.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/9ea91e_18e00ecfbc2a47e88385983fdaf885f7.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/0dd040_fedd5415abf04d8f99e7879144714364.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/4479ed_a90a711419f74a218995c92b2cc6bcd8.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/ca300b_033fd15a56ff457d9517484d4d4ab145.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3bca44_e8e2a71d195e4129a59f82c7f2be5227.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/9c66ff_6743af951d254ca8b9bcd3a5861bafff.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b8c837_f7da75ba80ab43c5813794c0313eefb6.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/2e79a6_b79b27426a7f4477b331c8a0b4a2eea2.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3b47cb_1d4adabdb95544c7bc09fb863537e4de.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/1e32c2_7010ebf75dd84099b2330785260f14ca.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/1e11d0_dcf32531b8d44317a29e94e33ca534a0.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_off00005145.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5145 5368 bytes
SHA-256: e52a1af86ca4bdc47e62e314b870532aac0d8d389c9dd83f2d275109dd1c13a8
font_01_sfnt_off00006379.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6379 9692 bytes
SHA-256: f2b46e9d3fdd2faa9f436f0bd5eb1ca8e467334d9de038450b2920ec2265977c

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