Malicious PDF — malware analysis report

Static analysis result for SHA-256 bf2b538885e0eb82…

MALICIOUS

PDF

46.9 KB Created: 2020-10-25 08:46:04 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 68f20b39edc66a2b97a9f0fac3aa9fa1 SHA-1: 5e44e19031a531fe78de24635e16d5619ff5f6d0 SHA-256: bf2b538885e0eb826d6ebd4cbac6266bdb3b70f84791591f2f195f9221cf3341
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://cctraff.ru/123?keyword=thomas+the+train+sodor+carnival+set+instructions In PDF document text
    • https://cdn-cms.f-static.net/uploads/4379842/normal_5f91664e0e4a2.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375077/normal_5f90752d983ac.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4402261/normal_5f94dc6db6cfa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368226/normal_5f8df54679418.pdfIn PDF document text
    • https://rowurasivove.weebly.com/uploads/1/3/4/3/134357219/263109.pdfIn PDF document text
    • https://gomemetunugup.weebly.com/uploads/1/3/2/7/132712315/5b04ca83cc.pdfIn PDF document text
    • https://mumixopid.weebly.com/uploads/1/3/1/8/131872042/jivemukafigotozutexa.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000079ee.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000079ee.bin)
    • https://s3.amazonaws.com/firigugixujotov/82750433902.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/83876863104.pdfIn PDF document text
    • https://s3.amazonaws.com/susopuzupure/january_2019_calendar_free.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8104/9288/files/86484822726.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/6443/5612/files/jozolokefikejida.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/6823/5162/files/88169073446.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/7250/2942/files/dumas.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/3473/9356/files/81524336599.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/0752/7077/files/ganixozilijovomupupawu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e7122fff-9bae-4c74-80fe-2e40700443e0/meg_dead_by_daylight.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/69f5b503-076b-466f-932b-c7a11b64e442/sapakuru.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7df0cd89-2b2d-4ab7-9861-219466733c54/81049170566.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5a3ce13e-0ff6-4e34-818f-fd705ff99813/pimobara.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/13477e75-5366-42ac-ad28-fead57afe959/53035898323.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 extracted file (font_00_sfnt_off000079ee.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000079ee.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x79EE 5188 bytes
SHA-256: b7d15c15c2512e057f0ca9f24fd9455d56de21cbe332483db3cb8f0f5508d506
font_01_sfnt_off00008b67.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8B67 9972 bytes
SHA-256: 81d185937793add010116d22f060b91efea8e02f7b6417304e0c2fdfc7db619a