Malicious PDF — malware analysis report

Static analysis result for SHA-256 d40c73de8ebf02fd…

MALICIOUS

PDF

62.5 KB Created: 2020-10-27 12:41:43 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-03-01
MD5: d50c1cf154e9351bd6c9d8ad7ccae9ba SHA-1: ef82377b55a4094d6bde5c0afc746d8bcca5a8cc SHA-256: d40c73de8ebf02fdf383ca17102dfce13646c0e0785c2b35a0c6efa93f8f5ccb
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=mame+full+rom+set In PDF document text
    • https://buliduxefexefux.weebly.com/uploads/1/3/1/6/131636978/5844181.pdfIn PDF document text
    • https://zagukosi.weebly.com/uploads/1/3/4/3/134314994/dojudidud.pdfIn PDF document text
    • https://kiseridebajesa.weebly.com/uploads/1/3/1/4/131408791/b9cfe35c21d1.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0502/2793/7480/files/54792004462.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/6629/0076/files/7696135988.pdfIn PDF document text
    • https://s3.amazonaws.com/joterige/jeppesen_airway_manual_2017.pdfIn PDF document text
    • https://s3.amazonaws.com/kewuxejikiwe/citoneurin_bula.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/artificial_intelligence_in_hospitals_and_medicine.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/tibudozenowevugevezelik.pdfIn PDF document text
    • https://s3.amazonaws.com/zidenigad/sintesis_de_lipidos_en_la_celula.pdfIn PDF document text
    • https://s3.amazonaws.com/wixanarer/96930353035.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/wadizitubosamafid.pdfIn PDF document text
    • https://s3.amazonaws.com/fasanag/coleo_o_que__da_editora_brasiliense.pdfIn PDF document text
    • https://s3.amazonaws.com/fokapikow/epidemics_journal.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/7224/4900/files/stickman_torture_game_unblocked.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/0593/7317/files/fibadewesuteduketuvadog.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0505/4450/9111/files/99942322875.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/aa80992c-b275-4c0a-b1e5-f88619901389/lopal.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d6e19e44-d795-4b96-9b9d-bd572325ab5a/duwevimu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/18e504b7-7216-4c97-b4a9-dc5b6a006999/yeh_hai_mohabbatein_23rd_january_2018.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6fd8e792-e0f8-4047-9416-319ff2c5376c/davukuzeziwaxewo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/61f14cc2-00b1-49f0-bb85-0eff6f2fbf3c/michael_kors_charm_gore_rain_booties.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000a58c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA58C 4644 bytes
SHA-256: 1825cd668f357cc849b88d8a4f9d90cdef5ed070bd9a5d23ed7e8055ec5f06ba
font_01_sfnt_off0000b55c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB55C 12976 bytes
SHA-256: bf5db71c820fb3af31e0cfeb118f2aa5fe5285ad3383f19ae8585ddfcc1b2550
font_02_sfnt_off0000de6d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDE6D 4324 bytes
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176

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