Malicious PDF — malware analysis report

Static analysis result for SHA-256 82e2a761c8bb0ac0…

MALICIOUS

PDF

43.0 KB Created: 2020-11-02 12:55:06 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: 203e8fda9e44b718403ec7c57869b205 SHA-1: 99cda73fab7c16882f52d1a6c792b48ea0bd0463 SHA-256: 82e2a761c8bb0ac04274631ace8daa51cf598aaad4b78888a9e19897a366d112
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.me/123?keyword=july+2020+staples+coupons In PDF document text
    • https://cdn-cms.f-static.net/uploads/4378846/normal_5f902f9a5769f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375196/normal_5f9d6c7da5bfa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370299/normal_5f88a317587cf.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4404112/normal_5f9f55ff1c422.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/3672/9766/files/come_out_of_hiding_chords.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/92ff2b5a-b9cb-4f31-aa1f-2db5017039cc/17048099488.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0507/0176/2752/files/inglourious_basterds_soundtrack_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/4494/5058/files/52389965461.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/72ae97a4-4eec-4f15-8f32-f1dd5daf4b8c/human_skeleton_labeled_simple.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/6354/8325/files/standard_of_excellence_book_1_percussion.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/8746/1050/files/suits_season_3_episodes.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b73e4fd3-fdd5-4d50-9a75-a46e2c8ada17/16040513721.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/648462d4-c7ec-4f37-9e5e-1c73a83203cc/de_febre_perto_me_para_vacunaes.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0d7e7101-baf7-45d0-af69-58cdc12efae9/41267624513.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e77bb247-acb7-4b39-80b3-bad0478462ed/sidujuvemusebujurena.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4f4a3c01-21d9-4a5d-9dda-8425338bf1d2/63264820614.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_off0000656b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x656B 5196 bytes
SHA-256: d0e95fa45ce4d1d412fd9c5a4a64c190670af0ef4ea270f83305d65d70800f6f
font_01_sfnt_off00007738.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7738 11800 bytes
SHA-256: 9f02ecb0269b7d7fa1c9369e7903629d1c27a46c042c7548f2c827222c7490f8

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